Relevant bibliographies by topics / Millimeter wave radars

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Millimeter wave radars'

Author: Grafiati
Published: 28 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Millimeter wave radars"

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Essen, Helmut, Manfred Hägelen, Alfred Wahlen, Karsten Schulz, Klaus Jäger, and Marcus Hebel. "ISAR imaging of helicopters using millimeter wave radars." International Journal of Microwave and Wireless Technologies 1, no. 3 (June 2009): 171–78. http://dx.doi.org/10.1017/s1759078709000257.

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The capabilities of millimeter wave radars have been demonstrated for a long period of time for missile seeker applications and for automotive radars. The technological advantages of this type of radar can be adapted to security applications in air traffic management at short and medium range as well as on the ground. The application discussed in this paper focuses on inverse synthetic aperture radar (ISAR) imaging techniques for the derivation of high-resolution signatures of helicopters in the air and the determination of reference images using turntable measurements.
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Vavriv, D. M., V. A. Volkov, V. N. Bormotov, V. V. Vynogradov, R. V. Kozhyn, B. V. Trush, A. A. Belikov, and V. Ye Semenyuta. "Millimeter-Wave Radars for Environmental Studies." Telecommunications and Radio Engineering 61, no. 4 (2004): 292–313. http://dx.doi.org/10.1615/telecomradeng.v61.i4.30.

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Hogan, Robin J., Lin Tian, Philip R. A. Brown, Christopher D. Westbrook, Andrew J. Heymsfield, and Jon D. Eastment. "Radar Scattering from Ice Aggregates Using the Horizontally Aligned Oblate Spheroid Approximation." Journal of Applied Meteorology and Climatology 51, no. 3 (March 2012): 655–71. http://dx.doi.org/10.1175/jamc-d-11-074.1.

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AbstractThe assumed relationship between ice particle mass and size is profoundly important in radar retrievals of ice clouds, but, for millimeter-wave radars, shape and preferred orientation are important as well. In this paper the authors first examine the consequences of the fact that the widely used “Brown and Francis” mass–size relationship has often been applied to maximum particle dimension observed by aircraft Dmax rather than to the mean of the particle dimensions in two orthogonal directions Dmean, which was originally used by Brown and Francis. Analysis of particle images reveals that Dmax ≃ 1.25Dmean, and therefore, for clouds for which this mass–size relationship holds, the consequences are overestimates of ice water content by around 53% and of Rayleigh-scattering radar reflectivity factor by 3.7 dB. Simultaneous radar and aircraft measurements demonstrate that much better agreement in reflectivity factor is provided by using this mass–size relationship with Dmean. The authors then examine the importance of particle shape and fall orientation for millimeter-wave radars. Simultaneous radar measurements and aircraft calculations of differential reflectivity and dual-wavelength ratio are presented to demonstrate that ice particles may usually be treated as horizontally aligned oblate spheroids with an axial ratio of 0.6, consistent with them being aggregates. An accurate formula is presented for the backscatter cross section apparent to a vertically pointing millimeter-wave radar on the basis of a modified version of Rayleigh–Gans theory. It is then shown that the consequence of treating ice particles as Mie-scattering spheres is to substantially underestimate millimeter-wave reflectivity factor when millimeter-sized particles are present, which can lead to retrieved ice water content being overestimated by a factor of 4.
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Bhutani, Akanksha, Sören Marahrens, Michael Gehringer, Benjamin Göttel, Mario Pauli, and Thomas Zwick. "The Role of Millimeter-Waves in the Distance Measurement Accuracy of an FMCW Radar Sensor." Sensors 19, no. 18 (September 12, 2019): 3938. http://dx.doi.org/10.3390/s19183938.

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High-accuracy, short-range distance measurement is required in a variety of industrial applications e.g., positioning of robots in a fully automated production process, level measurement of liquids in small containers. An FMCW radar sensor is suitable for this purpose, since many of these applications involve harsh environments. Due to the progress in the field of semiconductor technology, FMCW radar sensors operating in different millimeter-wave frequency bands are available today. An important question in this context, which has not been investigated so far is how does a millimeter-wave frequency band influence the sensor accuracy, when thousands of distance measurements are performed with a sensor. This topic has been dealt with for the first time in this paper. The method used for analyzing the FMCW radar signal combines a frequency- and phase-estimation algorithm. The frequency-estimation algorithm based on the fast Fourier transform and the chirp-z transform provides a coarse estimate of the target distance. Subsequently, the phase-estimation algorithm based on a cross-correlation function provides a fine estimate of the target distance. The novel aspects of this paper are as follows. First, the estimation theory concept of Cramér-Rao lower bound (CRLB) has been used to compare the accuracy of two millimeter-wave FMCW radars operating at 60 GHz and 122 GHz. In this comparison, the measurement parameters (e.g., bandwidth, signal-to-noise ratio) as well as the signal-processing algorithm used for both the radars are the same, thus ensuring an unbiased comparison of the FMCW radars, solely based on the choice of millimeter-wave frequency band. Second, the improvement in distance measurement accuracy obtained after each step of the combined frequency- and phase-estimation algorithm has been experimentally demonstrated for both the radars. A total of 5100 short-range distance measurements are made using the 60 GHz and 122 GHz FMCW radar. The measurement results are analyzed at various stages of the frequency- and phase-estimation algorithm and the measurement error is calculated using a nanometer-precision linear motor. At every stage, the mean error values measured with the 60 GHz and 122 GHz FMCW radars are compared. The final accuracy achieved using both radars is of the order of a few micrometers. The measured standard deviation values of the 60 GHz and 122 GHz FMCW radar have been compared against the CRLB. As predicted by the CRLB, this paper experimentally validates for the first time that the 122 GHz FMCW radar provides a higher repeatability of micrometer-accuracy distance measurements than the 60 GHz FMCW radar.
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Antolinos, Elías, Federico García-Rial, Clara Hernández, Daniel Montesano, Juan I. Godino-Llorente, and Jesús Grajal. "Cardiopulmonary Activity Monitoring Using Millimeter Wave Radars." Remote Sensing 12, no. 14 (July 15, 2020): 2265. http://dx.doi.org/10.3390/rs12142265.

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Current cardiopulmonary activity monitoring is based on contact devices which cannot be used in extreme cases such as premature infants, burnt victims or rescue operations. In order to overcome these limitations, the use of radar technologies emerges as an alternative. This paper aims to enhance the comprehension that non-contact technologies, in particular radar techniques, offer as a monitoring tool. For this purpose, a modified low cost commercial 122 GHz frequency-modulated continuous-wave (FMCW) radar is used to better fit the current application domain. The radar signals obtained are processed using a classic linear filtering algorithm aiming to separate the breathing from the heartbeat component while preserving signals integrity. In a standoff configuration and with different subject orientations, results show that the signal obtained with the radar can be used to extract not only the respiratory and heartbeat rates, but also the heart rate variability (HRV) sequence. Moreover, results evidence the coupling between breathing and heartbeat, also showing that the HRV sequence obtained can identify the respiratory sinus arrhythmia (RSA) effect. Finally, the radar is tested in a simultaneous multi-target scenario, demonstrating its monitoring capabilities in more complex situations. Nevertheless, there are some challenges left to use the system in a real-life monitoring environments, such as the removal of random body movements.
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Abdu, Fahad Jibrin, Yixiong Zhang, Maozhong Fu, Yuhan Li, and Zhenmiao Deng. "Application of Deep Learning on Millimeter-Wave Radar Signals: A Review." Sensors 21, no. 6 (March 10, 2021): 1951. http://dx.doi.org/10.3390/s21061951.

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The progress brought by the deep learning technology over the last decade has inspired many research domains, such as radar signal processing, speech and audio recognition, etc., to apply it to their respective problems. Most of the prominent deep learning models exploit data representations acquired with either Lidar or camera sensors, leaving automotive radars rarely used. This is despite the vital potential of radars in adverse weather conditions, as well as their ability to simultaneously measure an object’s range and radial velocity seamlessly. As radar signals have not been exploited very much so far, there is a lack of available benchmark data. However, recently, there has been a lot of interest in applying radar data as input to various deep learning algorithms, as more datasets are being provided. To this end, this paper presents a survey of various deep learning approaches processing radar signals to accomplish some significant tasks in an autonomous driving application, such as detection and classification. We have itemized the review based on different radar signal representations, as it is one of the critical aspects while using radar data with deep learning models. Furthermore, we give an extensive review of the recent deep learning-based multi-sensor fusion models exploiting radar signals and camera images for object detection tasks. We then provide a summary of the available datasets containing radar data. Finally, we discuss the gaps and important innovations in the reviewed papers and highlight some possible future research prospects.
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Levy, Chagai, Monika Pinchas, and Yosef Pinhasi. "Coherent Integration Loss Due to Nonstationary Phase Noise in High-Resolution Millimeter-Wave Radars." Remote Sensing 13, no. 9 (April 30, 2021): 1755. http://dx.doi.org/10.3390/rs13091755.

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Phase noise refers to the instability of an oscillator, which is the cause of instantaneous phase and frequency deviations in the carrier wave. This unavoidable instability adversely affects the performance of range–velocity radar systems, including synthetic aperture radars (SARs) and ground-moving target indicator (GMTI) radars. Phase noise effects should be considered in high-resolution radar designs, operating in millimeter wavelengths and terahertz frequencies, due to their role in radar capability during the reliable identification of target location and velocity. In general, phase noise is a random process consisting of nonstationary terms. It has been shown that in order to optimize the coherent detection of stealthy, fast-moving targets with a low radar cross-section (RCS), it is required to evaluate the integration gain and to determine the incoherent noise effects for resolving target location and velocity. Here, we present an analytical expression for the coherent integration loss when a nonstationary phase noise is considered. A Wigner distribution was employed to derive the time–frequency expression for the coherent loss when nonstationary conditions were considered. Up to now, no analytical expressions have been developed for coherent integration loss when dealing with real nonstationary phase noise mathematical models. The proposed expression will help radar systems estimate the nonstationary integration loss and adjust the decision threshold value in order to maximize the probability of detection. The effect of nonstationary phase noise is demonstrated for studying coherent integration loss of high-resolution radar operating in the W-band. The investigation indicates that major degradation in the time-frequency coherent integration due to short-term, nonstationary phase noise instabilities arises for targets moving at low velocities and increases with range. Opposed to the conventional model, which assumes stationarity, a significant difference of up to 25 dB is revealed in the integration loss for radars operating in the millimeter wave regime. Moreover, for supersonic moving targets, the loss peaks at intermediate distances and then reduces as the target moves away.
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Kutsov, Vladimir, Vladimir Badenko, Sergey Ivanov, and Alexander Fedotov. "Millimeter Wave Radar for Intelligent Transportation Systems: a Case Study of Multi-Target Problem Solution." E3S Web of Conferences 157 (2020): 05011. http://dx.doi.org/10.1051/e3sconf/202015705011.

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The influence of millimeter-wave radar receiver noise on the probability of unambiguous determination of unmanned vehicles speed and range in the intelligent transportation system of the «smart city» is investigated. For the proposed new multi-target detection method for FMCW radar, the effect of the technical parameters of the vehicle radars on the required signal-to-noise ratio (SNR) of the receiver is estimated to ensure the probability of true determination of target parameters at 98%.
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Pan, Mingming, Adrien Chopard, Frederic Fauquet, Patrick Mounaix, and Jean-Paul Guillet. "Guided Reflectometry Imaging Unit Using Millimeter Wave FMCW Radars." IEEE Transactions on Terahertz Science and Technology 10, no. 6 (November 2020): 647–55. http://dx.doi.org/10.1109/tthz.2020.3008330.

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Gonzalez-Partida, J. T., P. Almorox-Gonzalez, M. Burgos-Garcia, B. P. Dorta-Naranjo, and J. I. Alonso. "Through-the-Wall Surveillance With Millimeter-Wave LFMCW Radars." IEEE Transactions on Geoscience and Remote Sensing 47, no. 6 (June 2009): 1796–805. http://dx.doi.org/10.1109/tgrs.2008.2007738.

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Dissertations / Theses on the topic "Millimeter wave radars"

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Lotti, Marina, and Marina Lotti. "Experimental characterization of millimeter-wave radars for mapping and localization." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/19891/.

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L’attività di tesi è inquadrata nell’ambito del progetto europeo PRIMELOC (Personal Radars for Radio Imaging and Infrastructure-less Localization) il cui scopo è quello di validare il concetto di radar personale per fornire servizi automatici di localizzazione e di mappatura degli ambienti indoor, evitando l’introduzione di infrastrutture ad hoc. Per far ciò, si vogliono sfruttare i dispositivi di future generazioni wireless che usano onde millimetriche, per costruire mappe di luoghi indoor. Le mappe sono ottenute scannerizzando l’ambiente circostante attraverso l’uso di massive antenna arrays ad onde millimetriche e di particolari algoritmi per la localizzazione e il mapping simultanei (simultaneous localization and mapping - SLAM). Per la validazione sperimentale del concetto di Personal Radar è fondamentale l’esecuzione di diverse campagne di misura in ambienti realistici. I dati raccolti da esse devono essere valutati e processati al fine di renderli adatti come input degli algoritmi di SLAM.
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Vasanelli, Claudia [Verfasser]. "Antenna array design solutions for millimeter-wave vehicle-integrated automotive radars / Claudia Vasanelli." Ulm : Universität Ulm, 2020. http://d-nb.info/1206248769/34.

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Song, Peter. "Millimeter-wave integrated circuit design in silicon-germanium technology for next generation radars." Thesis, Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/53450.

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In this thesis, the circuits which comprise the front-end of a millimeter-wave transmit-receive module are investigated using a state-of-the-art 90 nm SiGe BiCMOS process for use in radar remote sensing applications. In Chapter I, the motivation for a millimeter-wave radar in the context of space-based remote sensing is discussed. In addition, an overview of Silicon-germanium technology is presented, and the chapter concludes with a discussion of design challenges at millimeter-wave frequencies. In Chapter II, a brief history of radar technology is presented - the motivations leading to the development of the transmit-receive module for active electronically scanned arrays are discussed, and the critical components which reside in nearly every high-frequency transmit-receive module are introduced. In Chapter III, the design and results of a W-band single-pole, double-throw switch using SiGe p-i-n diodes are discussed. In particular, the design topology and methods used to achieve low-loss and high power handling over a wide matching bandwidth without sacrificing isolation are described. In Chapter IV, the design and results of a W-band low-noise amplifier using SiGe HBT's are discussed. The design methodologies used to achieve high gain and exceptional noise performance over a wide matching bandwidth are described. Concluding remarks and a discussion of future work are in Chapter V.
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Till, Přemysl. "Nástroje pro počítání a monitorování osob." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442531.

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The paper details the usage of mmWave radars to track people and monitor their movement through predefined zones of interest. The theoretical part describes the physical nature of the technology and then describes algorithms which can be used to monitor using it to monitor the movement of people. In the practical part, I have developed a concrete algorithm which can be used to monitor customer queues and cash registers in shops and inform the cashiers when their presence is needed, as well as gather impersonal GDPR-compliant data about the customer's habits. Afterwards, I have developed a visualization for the Windows platform, which can be used to communicate with the radar, manage its configuration, visualize the events in real time and perform further analysis of the measured data.
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Faus, García Óscar. "Signal Processing for mmWave MIMO Radar." Thesis, Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-19866.

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This thesis addresses the design study, implementation and analysis of signal processing algorithms for a 79 GHz millimeter-wave Phase Modulated Continuous Wave (PMCW) Multi Input Multi Output (MIMO) short range radar; performed in IMEC research institute (Leuven, Belgium). The radar system targets high resolution performance with low power consumption in order to integrate a full MIMO radar transceiver with digital processor and antennas in a compact package featuring a size of 1 cm2. Achieving such radar system characteristics requires the exploitation of a highly demanding digital architecture with signal processing gain and high range, speed and angle resolutions. The improved resolution and detection capabilities will be achieved by performing signal processing algorithms on the reflected waveform. The digital front-end implements parallel range gate processing with a bank of correlators that perform: pulse compression, coherent accumulation to further increase Signal to Noise Ratio (SNR) and N-point FFT to extract the Doppler information. The use of MIMO is proposed implementing a code domain technique in the PMCW waveform, the Outer Hadamard Code MIMO. This concept makes use of a unique sequence for all the transmitting antennas that is rendered by an outer sequence to ensure the orthogonality of the transmitted waveforms. The outer code makes use of the good cross-correlation properties of the Hadamard sequences and the waveform uses sequences that exhibit perfect auto-correlation profile, the Almost Perfect Autocorrelation Sequences (APAS). The MIMO implementation results in higher angular resolution and extra processing gain. The use of beamforming techniques in the radar allows the angle estimation of the detected targets; using rough and fine beamforming that provides with coarse and precise Angle of Arrival (AoA) estimation in an early and late stage respectively. A Constant False Alarm Rate (CFAR) processing stage is implemented in the stage of the system where higher signal processing gain is achieved. This algorithm allows the variation of the CFAR parameters and analyzes the detections in order to improve the probability of detection (Pd) while decreasing the probability of false alarm (Pfa). A series of simulations with different scenarios and variable parameters are set in order to analyze the performance of the system. The simulations analyze the gain achieved in each stage and their outcomes show an impressive processing gain that can reach SNR improvements as high as 77 dB for a small virtual array while keeping the Pfa low with the CFAR adjustment. The use of bigger arrays demonstrates the possibility to enable clear detections for low Radar Cross Section (RCS) targets in far distances of the unambiguous range. The use of beamforming shows interference reduction improvement as the beam widths narrow with the increasing number of virtual array antennas. These results have been achieved while keeping the system design parameters to a range resolution of 7.5 cm for a maximum range of 37.5 meters with speed resolution of 0.2 m/s and a maximum detectable speed of 12.66 m/s. The outcomes support the good performance of the signal processing techniques implemented and the benefits in applying them in a SoC mmWave MIMO radar.
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Ameziane, El Hassani Chama. "Contribution à la réalisation d’un oscillateur push-push 80GHz synchronisé par un signal subharmonique pour des applications radars anticollisions." Thesis, Bordeaux 1, 2010. http://www.theses.fr/2010BOR14025/document.

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Ce travail de thèse s’inscrit dans le cadre d’un projet Français « VéLo » qui est une collaboration entre l’industriel STMicroelectronics et plusieurs laboratoires dont les laboratoires IMS-bordeaux et LAAS. Le but du projet est de concevoir un prototype de radar anticollision millimétrique. Dans ce travail un synthétiseur de fréquence est implémenté. Ce dernier sera intégré dans la chaine de réception du démonstrateur. Une étude bibliographique des architectures classiques de système de radiocommunication a été réalisée. Des exemples d’architectures rencontrées dans le domaine millimétrique ont été étudiés.L’objet principal de cette thèse est l’étude des oscillateurs synchronisés par injection ILO. L’objectif est de réaliser un oscillateur verrouillé par injection qui sera piloté par un oscillateur de fréquence plus basse possédant des caractéristiques de stabilité et de bruit meilleures.Dans ce travail de thèse, le mécanisme de verrouillage des oscillateurs par injection a été décrit. Un modèle de synchronisation par injection série, basé sur la théorie de Huntoon Weiss et inspiré du travail de Badets réalisé sur les oscillateurs synchrones verrouillés par injection parallèle, est proposé. La théorie établie a permis d’exprimer la plage de synchronisation en fonction de la topologie utilisée et des composants de la structure. La validité de la théorie a été évaluée par la simulation de la structure. Les résultats présentés montrent une bonne concordance entre la simulation et la théorie et permettent de valider le principe de synchronisation par injection. La faisabilité de l’intégration d’un ILO millimétrique synchronisé par l’harmonique d’un signal de référence de fréquence plus basse a été démontrée expérimentalement. Le synthétiseur de fréquence est réalisé en technologie BiCMOS 130nm pour des applications millimétriques de STMicroelectronics. Ce dernier opère dans une plage de 2GHz autour de la fréquence 82,5GHz. Les performances en bruit du synthétiseur sont satisfaisantes. Le bruit de phase de l’ILO recopie celui du signal injecté. Les équipements de mesures utilisés, le bruit de phase de l’oscillateur atteint des valeurs inférieures à -110dBc/Hz à 1MHz de la porteuse
This thesis is a part of a French project "VELO". The project is collaboration between STMicroelectronics and several laboratories including IMS-Bordeaux and LAAS laboratories. The aim of this project is to achieve a prototype of millimeter anti-collision radar. In this work a frequency synthesizer is implemented. This circuit will be incorporated in the reception chain of the demonstrator. A bibliographical study of classical architecture was completed. Examples of architectures encountered in the millimeter frequency range have been studied. The purpose of this thesis is to study the phenomena of synchronization in oscillators. The objective is to design an injection locked oscillator ILO driven by another oscillator, the second oscillator operates at lower frequency and offers better stability and noise characteristics.In this thesis, the injection locking mechanism of the oscillators has been described. A model of synchronization by series injection is proposed. The model is based on the theory of Huntoon and Weiss and inspired by Badets’ work performed on parallel injection. The theory expresses the synchronized frequency range depending on the used topology and the values of the components. The validity of the theory was evaluated by simulation. The results show good agreement between simulation and theory and validate the principle of synchronization by injection.The feasibility of a millimeter ILO synchronized by the harmonic of a reference signal operating at lower frequency has been demonstrated experimentally. The synthesizer was implemented in BiCMOS technology for 130nm applications millimeter of STMicroelectronics. The oscillator operates at 82.5 GHz and performs a frequency range of 2GHz. The noise performance of the synthesizer is satisfactory. The phase noise of the ILO depends on the reference phase noise, and reaches values of -110dBc/Hz at 1MHz from the carrier frequency
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Farneti, Elia. "Millimeter wave radar for SLAM applications." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/19782/.

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Lo scopo di questa tesi è quello di introdurre la tecnologia radar ad onde millimetriche applicata a problemi di mapping e di localizzazione in modo da investigare la fattibilità del recente concetto di "personal radar". Più specificatamente, può essere inteso come una caratteristica futura degli apparecchi mobili per la stima delle mappe degli ambienti interni sfruttando le tecnologie di comunicazione già presenti, avendo così la possibilità di creare applicazioni di localizzazione che non necessitano di infrastrutture ad-hoc. Il personal radar scansiona automaticamente l'ambiente circostante e mediante l'utilizzo di antenne colleziona le risposte provenienti dall'ambiente ad ogni direzione di scansione. Successivamente analizzando i dati collezionati il personal radar è in grado di dedurre la mappa dell'ambiente. Al momento le tecnologie più usate sono quella lidar o quella camera-based ma sono solitamente tecnologie più costose e che richiedono supporti meccanici e perfette condizioni di visibilità dell'ambiente. Per queste ragioni è interessante esplorare la tecnologia radar ad onde millimetriche. Questa teconologia infatti offre la possiilità di impacchettare un numero elevato di antenne in un piccolo spazio e quindi di realizzare diagrammi di radiazione molto stretti alle spese di una degradazione delle perfomance. Per queste ragioni è stato deciso di suddividere la tesi nei seguenti capitoli. Nel primo capitolo viene fornita una breve spiegazione della teoria radar con attenzione particolare alla tecnologia (FMCW) del dispositivo utilizzato. Nel secondo capitolo viene fornita una analisi della teoria dello SLAM con un approfondimento sulla teoria SLAM basata su grafi. Dopodichè è presente una analisi del dispositivo utilizzato. Nel quarto capitolo vengono descritti gli algoritmi sviluppati e i motivi per cui sono stati necessari e infine nel capitolo finale vengono riportati i risultati finali con le relative considerazioni.
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Gholamhosseinpour, Ali. "Millimeter Wave Radar Interfacing with Android Smartphone." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10776.

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Radar system development is generally costly, complicated and time consuming. This has kept its presence mostly inside industries and research centers with the necessary equipment to produce and operate such a system. Until recent years, realization of a fully integrated radar system on a chip was not feasible, however this is no longer the case and there are several types of sensors available from different manufacturers. Radar sensors offer some advantages that are unmatched by other sensing and imaging technologies such as operation in fog, dust and over long distances. This makes them suitable for use in Navigation, Automation, Robotics, and Security systems applications. The purpose of this thesis is to demonstrate the feasibility of a simplified radar system’s user interface via integration with the most common portable computer, a Smartphone, to make it possible for users with minimal knowledge of radar systems design and operation to use it in different applications. Smartphones are very powerful portable computers equipped with a suite of sensors with the potential to be used in a wide variety of applications. It seems logical to take advantage of their computing power and portability. The combination of a radar sensor and a smartphone can act as a demonstrator in an effort to bring radar sensors one step closer to the hands of the developers and consumers. In this study the following areas are explored and proper solutions are implemented; Design of a control board with capability to drive a radar sensor, capture the signal and transfer it to a secondary device (PC or Smartphone) both wired and wirelessly e.g. Bluetooth. A firmware that is capable of driving the control board and can receive, interpret and execute messages from a PC and or a Smartphone A cross compatible master software that can run on Linux, Windows, Mac and Android OSs and is capable of communication with the firmware/control board Proper analysis methods for signal capture and process purposes Automation of some parameter adjustment for different modes of operation of the Radar System in order to make the user interface as simple as possible A user friendly user-interface and API that can run on both PC and Smartphone
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Zhang, Renyuan, and Siyang Cao. "3D Imaging Millimeter Wave Circular Synthetic Aperture Radar." MDPI AG, 2017. http://hdl.handle.net/10150/624963.

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In this paper, a new millimeter wave 3D imaging radar is proposed. The user just needs to move the radar along a circular track, and high resolution 3D imaging can be generated. The proposed radar uses the movement of itself to synthesize a large aperture in both the azimuth and elevation directions. It can utilize inverse Radon transform to resolve 3D imaging. To improve the sensing result, the compressed sensing approach is further investigated. The simulation and experimental result further illustrated the design. Because a single transceiver circuit is needed, a light, affordable and high resolution 3D mmWave imaging radar is illustrated in the paper.
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Jolly, Alistair Duncan. "Feature extraction from millimetre wave radar images." Thesis, University of Central Lancashire, 1992. http://clok.uclan.ac.uk/19034/.

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This thesis describes research performed into the segmentation and classification of features on images of wound terrain generated from an airborne millimetre wave radar. The principles of operation of the radar are established and it is shown how an image is produced from this particular radar. The parameters such as wavelength, antenna size and pulse length are related to the images and a mathematical description of the radar data is given. The effectiveness of established image processing techniques is reviewed when applied to millimetre wave radar images and a statistical classification technique is seen to yield encouraging results. This method of segmentation and classification is then extended to make optimal use of the available information from the radar. An orthogonal expansion of the Poincaré sphere representation of polarised radiation is established and it is shown how different terrain types cluster in the eigenspace of these spherical harmonics. Segmentation then follows from the clustering properties of pixels within this multidimensional eigenspace and classification from the locations of the clusters.
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Books on the topic "Millimeter wave radars"

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Currie, Nicholas C. Millimeter-wave radar clutter. Boston: Artech House, 1992.

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N, Afsar Mohammed, Society of Photo-optical Instrumentation Engineers., and Tufts University, eds. Millimeter and submillimeter waves IV: Proceedings of the 4th International Conference on Millimeter and Submillimeter Waves and Applications, 20-23 July 1998, San Diego, California. Bellingham, Wash: SPIE, 1998.

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Ranney, Kenneth I. Radar sensor technology XII: 18-19 March, 2008, Orlando, Florida, USA. Bellingham, Wash: SPIE, 2008.

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Ranney, Kenneth I. Radar sensor technology XIII: 13-15 April 2009, Orlando, Florida, United States. Edited by SPIE (Society). Bellingham, Wash: SPIE, 2009.

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Kissinger, Dietmar. Millimeter-Wave Receiver Concepts for 77 GHz Automotive Radar in Silicon-Germanium Technology. Boston, MA: Springer US, 2012.

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Yankielun, Norbert E. An airborne millimeter-wave FM-CW radar for thickness profiling of freshwater ice. Hanover, N.H: U.S. Army Corps of Engineers, Cold Regions Research & Engineering Laboratory, 1992.

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Kissinger, Dietmar. Millimeter-Wave Receiver Concepts for 77 GHz Automotive Radar in Silicon-Germanium Technology. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-2290-7.

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European, Radar Conference (4th 2007 Munich Germany). 2007 European Radar Conference: Munich, Germany, 10-12 October 2007. Piscataway, NJ: Available from IEEE Service Center, 2007.

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European Radar Conference (4th 2007 Munich, Germany). 2007 European Radar Conference: Munich, Germany, 10-12 October 2007. Piscataway, NJ: Available from IEEE Service Center, 2007.

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England) European Radar Conference (3rd 2006 Manchester. 2006 European Radar Conference: Manchester, United Kingdom, 13-15 September 2006. Piscataway, NJ: IEEE, 2006.

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Book chapters on the topic "Millimeter wave radars"

1

Cherniak, Dmytro, and Salvatore Levantino. "Chirp Generators for Millimeter-Wave FMCW Radars." In Special Topics in Information Technology, 33–47. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32094-2_3.

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Bi, Xin. "Millimeter Wave Radar Technology." In Environmental Perception Technology for Unmanned Systems, 17–65. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8093-2_2.

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Essen, Helmut. "Airborne Remote Sensing at Millimeter Wave Frequencies." In Radar Remote Sensing of Urban Areas, 249–71. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-3751-0_11.

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Jain, Vipul, and Payam Heydari. "A BiCMOS Dual-Band Millimeter-Wave Frequency Synthesizer." In Automotive Radar Sensors in Silicon Technologies, 37–64. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-6775-6_5.

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Gómez-García, Roberto, José-María Muñoz-Ferreras, and Manuel Sánchez-Renedo. "Multiband RF Front-Ends for Radar and Communications Applications." In Microwave and Millimeter Wave Circuits and Systems, 275–94. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118405864.ch10.

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Liu, Yu, Yuheng Wang, Haipeng Liu, Anfu Zhou, Jianhua Liu, and Ning Yang. "Long-Range Gesture Recognition Using Millimeter Wave Radar." In Green, Pervasive, and Cloud Computing, 30–44. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64243-3_3.

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Dogru, Sedat, Rui Baptista, and Lino Marques. "Tracking Drones with Drones Using Millimeter Wave Radar." In Advances in Intelligent Systems and Computing, 392–402. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36150-1_32.

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Kocur, Dušan, and Jana Rovňáková. "Short-Range Tracking of Moving Targets by a Handheld UWB Radar System." In Microwave and Millimeter Wave Circuits and Systems, 207–25. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781118405864.ch8.

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Scherr, Steffen, Sven Thomas, Mario Pauli, Serdal Ayhan, Nils Pohl, and Thomas Zwick. "High Accuracy Millimetre Wave Radar for Micro Machining." In Lecture Notes in Production Engineering, 181–98. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49269-8_12.

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Cao, Chen, and Yu-Chen Liu. "An Error Compensation Method Based on Millimeter Wave Radar." In Advances in Intelligent Systems and Computing, 153–59. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00214-5_20.

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Conference papers on the topic "Millimeter wave radars"

1

Johnston, Stephen L. "Millimeter wave meteorological radars." In 15th International Conference on Infrared and Millimeter Waves. SPIE, 1990. http://dx.doi.org/10.1117/12.2301619.

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Vavriv, D. M., O. O. Bezvesilniy, V. A. Volkov, A. A. Kravtsov, and E. V. Bulakh. "Recent advances in millimeter-wave radars." In 2015 International Conference on Antenna Theory and Techniques (ICATT). IEEE, 2015. http://dx.doi.org/10.1109/icatt.2015.7136774.

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Kawanishi, Tetsuya. "Millimeter-Wave Radars using Radio-Over-Fibers." In 2018 IEEE Photonics Conference (IPC). IEEE, 2018. http://dx.doi.org/10.1109/ipcon.2018.8527122.

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Schoenlinner, Bernhard, Xidong Wu, George V. Eleftheriades, and Gabriel M. Rebeiz. "Spherical-Lens Antennas For Millimeter Wave Radars." In 2001 31st European Microwave Conference. IEEE, 2001. http://dx.doi.org/10.1109/euma.2001.339108.

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Seashore, C. R. "MIMIC For Millimeter Wave Integrated Circuit Radars." In Technical Symposium Southeast, edited by James T. Coleman and James C. Wiltse. SPIE, 1987. http://dx.doi.org/10.1117/12.940805.

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Gagnon, Andre, and Mike Kwong. "Recent Developments in Ground Based Millimeter Wave Radars." In 2007 41st Annual IEEE International Carnahan Conference on Security Technology. IEEE, 2007. http://dx.doi.org/10.1109/ccst.2007.4373488.

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Guerra, Anna, Francesco Guidi, and Davide Dardari. "Millimeter-wave personal radars for 3D environment mapping." In 2014 48th Asilomar Conference on Signals, Systems and Computers. IEEE, 2014. http://dx.doi.org/10.1109/acssc.2014.7094538.

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Vavriv, D. M. "Millimeter-Wave Magnetron Transmitters for High-Resolution Radars." In HIGH ENERGY DENSITY AND HIGH POWER RF: 7th Workshop on High Energy Density and High Power RF. AIP, 2006. http://dx.doi.org/10.1063/1.2158794.

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Xu, Tianqi, Lei Du, Jie Bai, Qiao Sun, and Xiaolei Wang. "Kinematic Parameters Calibration for Automotive Millimeter-Wave Radars." In 2021 IEEE International Workshop on Metrology for Automotive (MetroAutomotive). IEEE, 2021. http://dx.doi.org/10.1109/metroautomotive50197.2021.9502893.

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Floyd, Brian. "Market opportunities and testing challenges for millimeter-wave radios and radars." In 2014 IEEE International Test Conference (ITC). IEEE, 2014. http://dx.doi.org/10.1109/test.2014.7035302.

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Reports on the topic "Millimeter wave radars"

1

Clothiaux, Eugene, Mark Miller, Robin Perez, David Turner, Kenneth Moran, Brooks Martner, Thomas Ackerman, et al. The ARM Millimeter Wave Cloud Radars (MMCRs) and the Active Remote Sensing of Clouds (ARSCL) Value Added Product (VAP). Office of Scientific and Technical Information (OSTI), March 2001. http://dx.doi.org/10.2172/1808567.

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Kollias, P., MA Miller, KB Widener, RT Marchand, and TP Ackerman. The Status of the ACRF Millimeter Wave Cloud Radars (MMCRs), the Path Forward for Future MMCR Upgrades, the Concept of 3D Volume Imaging Radar and the UAV Radar. Office of Scientific and Technical Information (OSTI), December 2005. http://dx.doi.org/10.2172/948524.

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KB Widener and K Johnson. Millimeter Wave Cloud Radar (MMCR) Handbook. Office of Scientific and Technical Information (OSTI), January 2005. http://dx.doi.org/10.2172/948372.

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Sekelsky, Stephen M. Millimeter-Wave Radar Cloud Measurements and Data Analysis for Satellite Validation. Fort Belvoir, VA: Defense Technical Information Center, May 1998. http://dx.doi.org/10.21236/ada398479.

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Levitt, Larry J. Design of a Millimeter Wave Data Link for a Radar Guided Missile. Fort Belvoir, VA: Defense Technical Information Center, September 2001. http://dx.doi.org/10.21236/ada397366.

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Pazmany, A. L., S. M. Sekelsky, and R. E. McIntosh. Second annual progress report of the Millimeter Wave Cloud Profiling Radar System (CPRS). Office of Scientific and Technical Information (OSTI), June 1992. http://dx.doi.org/10.2172/10160247.

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Pazmany, A. L., S. M. Sekelsky, and R. E. McIntosh. Second annual progress report of the Millimeter Wave Cloud Profiling Radar System (CPRS). Office of Scientific and Technical Information (OSTI), June 1992. http://dx.doi.org/10.2172/7280059.

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Wellman, Ronald, Geoff Goldman, Jeffrey Silvious, and David Hutchins. Analyses of Millimeter Wave Radar Low-Angle Ground-Clutter Measurements for European-Like and Desert Environments. Fort Belvoir, VA: Defense Technical Information Center, July 1996. http://dx.doi.org/10.21236/ada311771.

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