Relevant bibliographies by topics / Radar function

Academic literature on the topic 'Radar function'

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Published: 6 September 2023

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Journal articles on the topic "Radar function"

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Chen, Duo, Ying Li, Yi Wen Wang, and Jin Xu. "Research on Marine Radar Image Collection Technology Based on OpenCV." Advanced Materials Research 798-799 (September 2013): 578–81. http://dx.doi.org/10.4028/www.scientific.net/amr.798-799.578.

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Marine radar image collection technology has been applied in many fileds. It has been a research focus at home and abroad for a long time. This paper proposes an architecture of marine radar image collection system based on Sperry radar, HPX Rader Information Board, OpenCV, SPX Function Library. And implementation of key technologies was diccussed from three aspects, includ-ing radar image display, collection and clear functions. This system has worked well in practice.
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Blahak, Ulrich. "An Approximation to the Effective Beam Weighting Function for Scanning Meteorological Radars with an Axisymmetric Antenna Pattern." Journal of Atmospheric and Oceanic Technology 25, no. 7 (July 1, 2008): 1182–96. http://dx.doi.org/10.1175/2007jtecha1010.1.

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Abstract To obtain statistically stable reflectivity measurements by meteorological radars, it is common practice to average over several consecutive pulses during which the antenna rotates at a certain angular velocity. Taking into account the antenna’s continuous motion, the measured reflectivity is determined by an effective beam weighting function, which is different from a single-pulse weighting function—a fact that is widely ignored in applications involving beam weighting. In this paper, the effective beam weighting function is investigated in detail. The theoretical derivation shows that the effective weighting function is essentially a simple moving sum of single-beam weighting functions. Assuming a Gaussian shape of a single pulse, a simple and easy-to-use parameterization of the effective beam weighting function is arrived at, which depends only on the single beamwidth and the ratio of the single beamwidth to the rotational angular averaging interval. The derived relation is formulated in the “radar system” (i.e., the spherical coordinate system consisting of azimuth and elevation angles) that is often applied in practice. Formulas for the “beam system” (two orthogonal angles relative to the beam axis) are also presented. The final parameterization should be applicable to almost all meteorological radars and might be used (i) in specialized radar data analyses (with ground-based or satellite radars) and (ii) for radar forward operators to calculate simulated radar parameters from the results of NWP models.
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Cho, Yo-Han, Gyu Won Lee, Kyung-Eak Kim, and Isztar Zawadzki. "Identification and Removal of Ground Echoes and Anomalous Propagation Using the Characteristics of Radar Echoes." Journal of Atmospheric and Oceanic Technology 23, no. 9 (September 1, 2006): 1206–22. http://dx.doi.org/10.1175/jtech1913.1.

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Abstract This paper explores the removal of normal ground echoes (GREs) and anomalous propagation (AP) in ground-based radars using a fuzzy logic approach. Membership functions and their weights are derived from the characteristics of radar echoes as a function of radar reflectivity. The dependence on echo intensity is shown to significantly improve the proper identification of GRE/AP. In addition, the proposed method has a better performance at lower elevation angles. The overall performance is comparable with that from a polarimetric approach and can thus be easily implemented in operational radars.
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Kosovets, M. A., and L. M. Tovstenko. "The practical aspect of using the artificial intellectual technology for building a multidimentional function CFAR for smart-handled LPI radar." PROBLEMS IN PROGRAMMING, no. 2-3 (September 2020): 304–12. http://dx.doi.org/10.15407/pp2020.02-03.304.

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The problem of the development of modern mobile smart-handled LPI radars using artificial intelligence technologies, the main difference of which is the construction of the CFAR function, which takes into account the influence of external and internal factors and requirements for the purpose, also distinguishes the developed radar among others in its class. The analysis of the publications was showed a great interest in modern radar systems and the lack of a unified approach to solving this problem. The purpose of the article is to reduce this gap, from collecting information from radar sensors and internal sensors to construct a generic multidimensional CFAR function and for organize its effect on the receiving and transmitting part of the radar. The application of artificial intelligence technologies in the construction of a modeling complex of LPI radars with CFAR function and their debugging in real time is covered.
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Cote, Stephane. "Naval multi-function radar." IEEE Aerospace and Electronic Systems Magazine 26, no. 9 (September 2011): 34–39. http://dx.doi.org/10.1109/maes.2011.6069903.

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Heys, Paul. "Progressive function." Radar 1, no. 1 (March 2010): 18–19. http://dx.doi.org/10.5920/radar.2010.1118.

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Frech, Michael, Cornelius Hald, Maximilian Schaper, Bertram Lange, and Benjamin Rohrdantz. "Assessing and mitigating the radar–radar interference in the German C-band weather radar network." Atmospheric Measurement Techniques 16, no. 2 (January 20, 2023): 295–309. http://dx.doi.org/10.5194/amt-16-295-2023.

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Abstract. The national German weather radar network operates in C-band between 5.6 and 5.65 GHz. In a radar network, individual transmit frequencies have to be chosen such that radar–radar-induced interferences are avoided. In a unique experiment the Hohenpeißenberg research radar and five operational systems from the radar network were used to characterize radar–radar-induced interferences as a function of the radar frequency. The results allow assessment of the possibility of adding additional C-band radars with magnetron transmitters into the existing network. Based on the experiment, at least a 15 MHz separation of the nominal radar frequency is needed to avoid a radar–radar interference. The most efficient mitigation of radar–radar interference is achieved by the “Radar Tango”, which refers to the synchronized scanning of all radar systems in the network. Based on those results, additional C-band radar systems can be added to the German weather radar network if a further improvement of the radar coverage is needed.
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Monakov, A. A. "A Versatile Algorithm for Autofocusing SAR Images." Journal of the Russian Universities. Radioelectronics 24, no. 1 (February 26, 2021): 22–33. http://dx.doi.org/10.32603/1993-8985-2021-24-1-22-33.

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Introduction. Random deviations of the antenna phase centre of a synthetic aperture radar (SAR) are a source of phase errors for the received signal. These phase errors frequently cause blurring of the radar image. The image quality can be improved using various autofocus algorithms. Such algorithms estimate phase errors via optimization of an objective function, which defines the radar image quality. The image entropy and sharpness are well known examples of objective functions. The objective function extremum can be found by fast optimization methods, whose realization is a challenging computing task.Aim. To synthesize a versatile and computationally simple autofocusing algorithm allowing any objective function to used without changing its structure significantly.Materials and methods. An algorithm based on substituting the selected objective function with a simpler surrogate objective function, whose extremum can be found by a direct method, is proposed. This method has been referred as the MM optimization in scientific literature. It is proposed to use a quadratic function as a surrogate objective function.Results. The synthesized algorithm is straightforward, not requiring recursive methods for finding the optimal solution. These advantages determine the enhanced speed and stability of the proposed algorithm. Adjusting the algorithm for the selected objective function requires minimal software changes. Compared to the algorithm using a linear surrogate objective function, the proposed algorithm provides a 1.5 times decrease in the standard deviation of the phase error estimate, with an approximately 10 % decrease in the number of iterations.Conclusion. The proposed autofocusing algorithm can be used in synthetic aperture radars to compensate the arising phase errors. The algorithm is based on the MM-optimization of the quadratic surrogate objective functions for radar images. The computer simulation results confirm the efficiency of the proposed algorithm even in case of large phase errors.
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Moharir, P. S., K. Venkata Rao, and S. K. Varma. "Monogenic function range resolution radar." IEE Proceedings F Communications, Radar and Signal Processing 134, no. 6 (1987): 620. http://dx.doi.org/10.1049/ip-f-1.1987.0103.

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Simpson, Micheal J., and Neil I. Fox. "Dual-polarized quantitative precipitation estimation as a function of range." Hydrology and Earth System Sciences 22, no. 6 (June 18, 2018): 3375–89. http://dx.doi.org/10.5194/hess-22-3375-2018.

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Abstract. Since the advent of dual-polarization radar technology, many studies have been conducted to determine the extent to which the differential reflectivity (ZDR) and specific differential phase shift (KDP) add benefits to estimating rain rates (R) compared to reflectivity (Z) alone. It has been previously noted that this new technology provides significant improvement to rain-rate estimation, primarily for ranges within 125 km of the radar. Beyond this range, it is unclear as to whether the National Weather Service (NWS) conventional R(Z)-convective algorithm is superior, as little research has investigated radar precipitation estimate performance at larger ranges. The current study investigates the performance of three radars – St. Louis (KLSX), Kansas City (KEAX), and Springfield (KSGF), MO – with 15 tipping bucket gauges serving as ground truth to the radars. With over 300 h of precipitation data being analyzed for the current study, it was found that, in general, performance degraded with range beyond, approximately, 150 km from each of the radars. Probability of detection (PoD) in addition to bias values decreased, while the false alarm rates increased as range increased. Bright-band contamination was observed to play a potential role as large increases in the absolute bias and overall error values near 120 km for the cool season and 150 km in the warm season. Furthermore, upwards of 60 % of the total error was due to precipitation being falsely estimated, while 20 % of the total error was due to missed precipitation. Correlation coefficient values increased by as much as 0.4 when these instances were removed from the analyses (i.e., hits only). Overall, due to the lowest normalized standard error (NSE) of less than 1.0, a National Severe Storms Laboratory (NSSL) R(Z,ZDR) equation was determined to be the most robust, while a R(ZDR,KDP) algorithm recorded NSE values as high as 5. The addition of dual-polarized technology was shown to estimate quantitative precipitation estimates (QPEs) better than the conventional equation. The analyses further our understanding of the strengths and limitations of the Next Generation Radar (NEXRAD) system overall and from a seasonal perspective.
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Dissertations / Theses on the topic "Radar function"

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Butler, Joseph MacKay. "Tracking and control in multi-function radar." Thesis, University College London (University of London), 1998. http://discovery.ucl.ac.uk/1317909/.

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The phased array multi-function radar is an effective solution to the requirement for simultaneous surveillance and multiple target tracking. However, since it is performing the jobs usually undertaken by several dedicated radars its radar time and energy resources are limited. For this reason, and also due to the large cost of active phased array antennas, it is important for the strategies adopted in the control of the radar to be efficient. This thesis investigates and develops efficient strategies for multi-function radar control and tracking. Particularly the research has focused on the use of rotating array antennas and simultaneous multiple receive beam processing. The findings of the research challenge the traditional view that three or four fixed (static) array faces is the best antenna configuration for a multi-function radar system. By developing novel methods for the comparison of systems utilising different antenna configurations it is shown that a rotating array multi-function radar performs the surveillance function with a greater efficiency in its use of radar time than a static array system. Also, a rotating array system benefits from the ability to distribute the radar resources over the angular coverage in a way that is impossible with a static array system. A novel strategy is presented to achieve this, which allows the rotating array system to better support the realistic situation of a high concentration of radar tasks in a narrow angular sector. It is shown that the use of broadened transmit beams coupled with simultaneous multiple narrow receive beams can eliminate the compromise on radar beamwidth between the surveillance and tracking functions that is associated with multi-function radars. This technique would allow construction of multi-function radar systems with narrow beamwidths, giving improved tracking performance, without extending search frame times excessively. Efficient tracking strategies for both static array and rotating array multi-function radars are developed. They are applied through computer simulation to demonstrate tracking of highly manoeuvrable targets with a narrow beam multi-function radar. Track robustness is attained through the use of multiple beam track updating strategies at little cost in terms of radar time.
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Nazir, Mahvish. "Automotive radar target detection using ambiguity function." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6842/.

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The risk of collision increases, as the number of cars on the road increases. Automotive radar is an important way to improve road traffic safety and provide driver assistance. Adaptive cruise control, parking aid, pre-crash warning etc. are some of the applications of automotive radar which are already in use in many luxury cars today. In automotive radar a commonly used modulation waveform is the linear frequency modulated continuous waveform (FMCW); the return signal contains the range and velocity information about the target related through the beat frequency equation. Existing techniques retrieve target information by applying a threshold to the Fourier power spectrum of the returned signal, to eliminate weak responses. This method has a risk of missing a target in a multi-target situation if its response falls below the threshold. It is also common to use multiple wide angle radar sensors to cover a wider angle of observation. This results in detecting a large number of targets. The ranges and velocities of targets in automotive applications create ambiguity which is heightened by the large number of responses received from wide angle set of sensors. This thesis reports a novel strategy to resolve the range-velocity ambiguity in the interpretation of FMCW radar returns that is suitable for use in automotive radar. The radar ambiguity function is used in a novel way with the beat frequency equation relating range and velocity to interpret radar responses. This strategy avoids applying a threshold to the amplitude of the Fourier spectrum of the radar return. This novel radar interpretation strategy is assessed by a simulation which demonstrates that targets can be detected and their range and velocity estimated without ambiguity using the combined information from the radar returns and existing radar ambiguity function.
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Huang, Jen-Chih. "The ambiguity function of the stepped frequency radar." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA289533.

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Thesis (M.S. in Electrical Engineering and M.S. in Systems Engineering) Naval Postgraduate School, September 1994.
Thesis advisor(s): G. S. Gill. "September 1994." Includes bibliographical references. Also available online.
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Charlish, A. B. "Autonomous agents for multi-function radar resource management." Thesis, University College London (University of London), 2011. http://discovery.ucl.ac.uk/1334115/.

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The multifunction radar, aided by advances in electronically steered phased array technology, is capable of supporting numerous, differing and potentially conflicting tasks. However, the full potential of the radar system is only realised through its ability to automatically manage and configure the finite resource it has available. This thesis details the novel application of agent systems to this multifunction radar resource management problem. Agent systems are computational societies where the synergy of local interactions between agents produces emergent, global desirable behaviour. In this thesis the measures and models which can be used to allocate radar resource is explored; this choice of objective function is crucial as it determines which attribute is allocated resource and consequently constitutes a description of the problem to be solved. A variety of task specific and information theoretic measures are derived and compared. It is shown that by utilising as wide a variety of measures and models as possible the radar’s multifunction capability is enhanced. An agent based radar resource manager is developed using the JADE Framework which is used to apply the sequential first price auction and continuous double auctions to the multifunction radar resource management problem. The application of the sequential first price auction leads to the development of the Sequential First Price Auction Resource Management algorithm from which numerous novel conclusions on radar resource management algorithm design are drawn. The application of the continuous double auction leads to the development of the Continuous Double Auction Parameter Selection (CDAPS) algorithm. The CDAPS algorithm improves the current state of the art by producing an improved allocation with low computational burden. The algorithm is shown to give worthwhile improvements in task performance over a conventional rule based approach for the tracking and surveillance functions as well as exhibiting graceful degradation and adaptation to a dynamic environment.
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Leon, Efrain. "Generation of the ambiguity function for ultra wideband radar waveforms." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA277913.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, December 1993.
Thesis advisor(s): Gurnam S. Gill ; Adbel Aziz Mohamed Darwish. "December 1993." Includes bibliographical references.
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Kattekola, Sravanthi. "Weather Radar image Based Forecasting using Joint Series Prediction." ScholarWorks@UNO, 2010. http://scholarworks.uno.edu/td/1238.

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Accurate rainfall forecasting using weather radar imagery has always been a crucial and predominant task in the field of meteorology [1], [2], [3] and [4]. Competitive Radial Basis Function Neural Networks (CRBFNN) [5] is one of the methods used for weather radar image based forecasting. Recently, an alternative CRBFNN based approach [6] was introduced to model the precipitation events. The difference between the techniques presented in [5] and [6] is in the approach used to model the rainfall image. Overall, it was shown that the modified CRBFNN approach [6] is more computationally efficient compared to the CRBFNN approach [5]. However, both techniques [5] and [6] share the same prediction stage. In this thesis, a different GRBFNN approach is presented for forecasting Gaussian envelope parameters. The proposed method investigates the concept of parameter dependency among Gaussian envelopes. Experimental results are also presented to illustrate the advantage of parameters prediction over the independent series prediction.
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Vicente, Ricardo Miguel F. P. "Characterization of Synthetic Aperture Radar Image Features of the Ocean as a Function of Wind Speed and High Frequency Radar Products." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/7424.

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High-definition source images for those used in this document are available here: http://hdl.handle.net/10945/13822
Approved for public release, distribution unlimited
Assessment of coastal ocean conditions is valuable for both military and civilian operations. Remote sensing of those conditions can be even more valuable, particularly in the case of all-weather sensor types. The potential for better understanding of ocean conditions through the combination of remote sensing results was recognized here with the focus on SAR imagery and High Frequency (HF) radar-derived surface currents. The hypothesis that combining remote sensing products may improve results was tested using SAR imagery and available HF radar surface current maps along central California. Data were obtained from 2007-2010 when the network of HF radar stations was operating relatively continuously. Over the same time period, 780 archived SAR images were identified and, of those, 31 images were chosen for detailed assessment by identifying representative images under weak, moderate, and strong wind conditions. As expected, wind strength played a dominant role in determining the physical processes visible in the SAR imagery. Moderate wind speed of 24 m/s exhibited the most obvious ocean-related processes and the best correlation with features in the HF radar surface current maps. Surprising is the discovery that oceanographic features in the SAR imagery represent recent history of tracer advection over hours to days. As such, individual hourly, surface-current snapshots are not, perhaps, the best product for comparing with those features. Features in the daily-average currents, for example, appear more highly correlated with features in SAR imagery under moderate wind conditions.
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Cankaya, Erkan. "Use Of The Ambiguity Function Technique For Target Detection In Phase Coded Continuous Wave Radars." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606767/index.pdf.

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The goal of this thesis study is to investigate the Ambiguity Function Technique for target detection in phase-coded continuous wave radar. Also, phase shift keying techniques are examined in detail. Continuous Wave (CW) Radars, which are also known as Low Probability of Intercept (LPI) radars, emit continuous signals in time which are modulated by either frequency modulation or phase modulation techniques. Modulation of the transmitted radar signal is needed to estimate both the range and the radial velocity of the detected targets. In this thesis, Phase Shift Keying (PSK) techniques such as the Barker codes, Frank codes, P1, P2, P3, P4 codes will be employed for radar signal modulation. The use of Ambiguity Function, which is a non-linear Time- Frequency Representation (TFR), for target detection will be investigated in phasecoded CW radars for different target scenarios.
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Zhang, Guifu. "Detection and imaging of targets in the presence of clutter based on angular correlation function /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/6085.

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Akangol, Mehmet. "Target Detection By The Ambiguity Function Technique And The Conventional Fourier Transform Technique In Frequency Coded Continuous Wave Radars." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606766/index.pdf.

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Continuous Wave (CW) radars are preferred for their low probability of intercept by the other receivers. Frequency modulation techniques, the linear frequency modulation (LFM) technique in particular, are commonly used in CW radars to resolve the range and the radial velocity of the detected targets. The conventional method for target detection in a linear FMCW radar makes use of a mixer followed by a low-pass filter whose output is Fourier transformed to get the range and velocity information. In this thesis, an alternative target detection technique based on the use of the Ambiguity Function (AF) will be investigated in frequency modulated CW radars. Results of the AF-based technique and the conventional Fourier-based technique will be compared for different target detection scenarios.
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Books on the topic "Radar function"

1

Leon, Efrain. Generation of the ambiguity function for ultra wideband radar waveforms. Monterey, Calif: Naval Postgraduate School, 1993.

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Ying, Jin, Smith P. L, and United States. National Aeronautics and Space Administration., eds. An area-time integral analysis of NEXRAD data. [Washington, DC: National Aeronautics and Space Administration, 1997.

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Ying, Jin, Smith P. L, and United States. National Aeronautics and Space Administration., eds. An area-time integral analysis of NEXRAD data. [Washington, DC: National Aeronautics and Space Administration, 1997.

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Lataitis, R. J. The longitudinal-transverse spatial coherence function for a spherical wave propagating through homogeneous atmospheric turbulence: Implications for RASS. Boulder, Colo: Wave Propagation Laboratory : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1991.

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Laboratory, Wave Propagation, ed. The longitudinal-transverse spatial coherence function for a spherical wave propagating through homogeneous atmospheric turbulence: Implications for RASS. Boulder, Colo: Wave Propagation Laboratory : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1991.

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Laboratory, Wave Propagation, ed. The longitudinal-transverse spatial coherence function for a spherical wave propagating through homogeneous atmospheric turbulence: Implications for RASS. Boulder, Colo: Wave Propagation Laboratory : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1991.

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Laboratory, Wave Propagation, ed. The longitudinal-transverse spatial coherence function for a spherical wave propagating through homogeneous atmospheric turbulence: Implications for RASS. Boulder, Colo: Wave Propagation Laboratory : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1991.

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Laboratory, Wave Propagation, ed. The longitudinal-transverse spatial coherence function for a spherical wave propagating through homogeneous atmospheric turbulence: Implications for RASS. Boulder, Colo: Wave Propagation Laboratory : U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1991.

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Kalnins, E. G. A note on group contractions and radar ambiguity functions. Hamilton, N.Z: University of Waikato, 1990.

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Office, General Accounting. Environmental protection: Issues raised by the reorganization of EPA's ombudsman function : report to the Honorable Diana DeGette, House of Representatives. Washington, D.C: U.S. General Accounting Office, 2002.

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Book chapters on the topic "Radar function"

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Mahafza, Bassem R. "Radar Ambiguity Function." In Handbook of Radar Signal Analysis, 229–78. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781315161402-7.

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Mahafza, Bassem R. "Radar Ambiguity Function." In Radar Systems Analysis and Design Using MATLAB®, 277–324. 4th ed. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003051282-8.

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Plant, William J. "The Modulation Transfer Function: Concept and Applications." In Radar Scattering from Modulated Wind Waves, 155–72. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2309-6_13.

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Anjali, K. S., and G. Prabha. "Dual-Function Radar-Communication Using Neural Network." In Advances in Intelligent Systems and Computing, 527–39. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3600-3_50.

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Gao, Jianbin, Kwame Opuni-Boachie Obour Agyekum, Emmanuel Boateng Sifah, Qi Xia, and Edward Agyemang-Duah. "Ambiguity Function Analysis of Frequency Diverse Array Radar Receivers." In Advances in Intelligent Systems and Computing, 546–57. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01177-2_39.

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Long, J., Q. Luo, Z. Liu, and Z. Zhu. "Road distress detection and maintenance evaluation based on ground penetrating radar." In Advances in Civil Function Structure and Industrial Architecture, 474–81. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003305019-67.

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Pasqualini, Vanina, Jacques Iltis, Nadine Dessay, Marc Lointier, Olivier Guelorget, and Laurent Polidori. "Mangrove mapping in North-Western Madagascar using SPOT-XS and SIR-C radar data." In Diversity and Function in Mangrove Ecosystems, 127–33. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4078-2_13.

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Khwairakpam Amitab, Debdatta Kandar, and Arnab K. Maji. "Comparative Evaluation of Radial Basis Function Network Transfer Function for Filtering Speckle Noise in Synthetic Aperture Radar Images." In Emerging Research in Computing, Information, Communication and Applications, 243–52. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0287-8_22.

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Men, Hongzhi, Zhiqun Song, and Guisheng Liao. "Ambiguity Function Analysis of Radar-Communication Integrated Waveform Based on FDM and TDM Technologies." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 293–307. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22968-9_26.

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Yang, Xiaofeng, Koichiro Ishibashi, Toshiaki Negishi, Tetsuo Kirimoto, and Guanghao Sun. "Short Time and Contactless Virus Infection Screening System with Discriminate Function Using Doppler Radar." In Communications in Computer and Information Science, 263–73. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7179-9_20.

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Conference papers on the topic "Radar function"

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Moore, S. A. W. "Dual frequency multi-function radar antenna research." In Radar Systems (RADAR 97). IEE, 1997. http://dx.doi.org/10.1049/cp:19971630.

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Moore, A. R. "MESAR (multi-function, electronically scanned, adaptive radar)." In Radar Systems (RADAR 97). IEE, 1997. http://dx.doi.org/10.1049/cp:19971631.

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Euziere, Jerome, Regis Guinvarc'h, Marc Lesturgie, Bernard Uguen, and Raphael Gillard. "Dual function radar communication Time-modulated array." In 2014 International Radar Conference (Radar). IEEE, 2014. http://dx.doi.org/10.1109/radar.2014.7060416.

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Sebt, M. A., Y. Norouzi, A. Sheikhi, and M. M. Nayebi. "OFDM radar signal design with optimized Ambiguity Function." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720801.

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Shapiro, Jeffrey H. "Laser Radar System Theory*." In Optical Remote Sensing. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/ors.1985.tub3.

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Coherent laser radars represent a true translation to the optical frequency band of conventional microwave radar concepts. Moreover, the emerging technology of compact CO2 laser radars may be capable of resolving targets in any combination of the modalities of space, angle, range, and velocity. As a result, the development of laser radar system theory as an analytic tool for the design and performance evaluation of such systems must function on a variety of levels. In this paper, three of these levels will be reviewed.
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Hoffmann, Folker, and Alexander Charlish. "A resource allocation model for the radar search function." In 2014 International Radar Conference (Radar). IEEE, 2014. http://dx.doi.org/10.1109/radar.2014.7060254.

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Johnson, Zachary W., and Ric A. Romero. "Uncertainty Function Design for Adaptive Beamsteering Cognitive Radar." In 2020 IEEE International Radar Conference (RADAR). IEEE, 2020. http://dx.doi.org/10.1109/radar42522.2020.9114595.

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Cote, Stephane. "Naval Multi-Function RADAR." In 2010 IEEE International Radar Conference. IEEE, 2010. http://dx.doi.org/10.1109/radar.2010.5494646.

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Wang, Jun, Bocheng Zhang, and Peng Lei. "Ambiguity function analysis for OFDM radar signals." In 2016 CIE International Conference on Radar (RADAR). IEEE, 2016. http://dx.doi.org/10.1109/radar.2016.8059592.

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Kang, Shiqian, Cong Wang, and Zhangmeng Liu. "Pulse Group Extraction of Multi-Function Radar." In 2021 CIE International Conference on Radar (Radar). IEEE, 2021. http://dx.doi.org/10.1109/radar53847.2021.10027920.

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Reports on the topic "Radar function"

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Varshney, Pramod K., Donald D. Weiner, Harry Schwarzlander, Mohamed Slamani, and Tzeto Tsao. Ambiguity Function Analysis for Bistatic Radar. Fort Belvoir, VA: Defense Technical Information Center, February 1985. http://dx.doi.org/10.21236/ada294135.

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Chow, Winston C. Analysis of the Probability Density Function of the Monopulse Ratio Radar Signal. Fort Belvoir, VA: Defense Technical Information Center, August 1996. http://dx.doi.org/10.21236/ada315600.

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Liao, DaHan. Derivation of and Discussions on the Forward-Looking Radar Imaging Point Spread Function. Fort Belvoir, VA: Defense Technical Information Center, August 2014. http://dx.doi.org/10.21236/ada608692.

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Brand, Marissa, Gerald Key, Ed Herricks, Ryan King, J. T. Nohara, Jr Gauthreaux, Begier Sidney, et al. Integration and Validation of Avian Radars (IVAR): Functional Requirements and Performance Specifications for Avian Radar Systems. Version 3.0. Fort Belvoir, VA: Defense Technical Information Center, December 2011. http://dx.doi.org/10.21236/ada581966.

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Emre, Erol. Adaptive Estimation and Approximation of Continuously Varying Spectral Density Functions to Airborne Radar. Fort Belvoir, VA: Defense Technical Information Center, November 1993. http://dx.doi.org/10.21236/ada277532.

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Collins, Clarence O., and Tyler J. Hesser. altWIZ : A System for Satellite Radar Altimeter Evaluation of Modeled Wave Heights. Engineer Research and Development Center (U.S.), February 2021. http://dx.doi.org/10.21079/11681/39699.

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This Coastal and Hydraulics Engineering Technical Note (CHETN) describes the design and implementation of a wave model evaluation system, altWIZ, which uses wave height observations from operational satellite radar altimeters. The altWIZ system utilizes two recently released altimeter databases: Ribal and Young (2019) and European Space Agency Sea State Climate Change Initiative v.1.1 level 2 (Dodet et al. 2020). The system facilitates model evaluation against 1 Hz1 altimeter data or a product created by averaging altimeter data in space and time around model grid points. The system allows, for the first time, quantitative analysis of spatial model errors within the U.S. Army Corps of Engineers (USACE) Wave Information Study (WIS) 30+ year hindcast for coastal United States. The system is demonstrated on the WIS 2017 Atlantic hindcast, using a 1/2° basin scale grid and a 1/4° regional grid of the East Coast. Consistent spatial patterns of increased bias and root-mean-square-error are exposed. Seasonal strengthening and weakening of these spatial patterns are found, related to the seasonal variation of wave energy. Some model errors correspond to areas known for high currents, and thus wave-current interaction. In conjunction with the model comparison, additional functions for pairing altimeter measurements with buoy data and storm tracks have been built. Appendices give information on the code access (Appendix I), organization and files (Appendix II), example usage (Appendix III), and demonstrating options (Appendix IV).
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