Academic literature on the topic 'Radar phase calibration'

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Journal articles on the topic "Radar phase calibration"

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Zhao, Chen, Zezong Chen, Jian Li, Fan Ding, Weimin Huang, and Lingang Fan. "Validation and Evaluation of a Ship Echo-Based Array Phase Manifold Calibration Method for HF Surface Wave Radar DOA Estimation and Current Measurement." Remote Sensing 12, no. 17 (August 26, 2020): 2761. http://dx.doi.org/10.3390/rs12172761.

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Shore-based phased-array HF radars have been widely used for remotely sensing ocean surface current, wave, and wind around the world. However, phase uncertainties, especially phase distortions, in receiving elements significantly degrade the performance of beam forming and direction-of-arrival (DOA) estimation for phased-array HF radar. To address this problem, the conventional array signal model is modified by adding a direction-based phase error matrix. Subsequently, an array phase manifold calibration method using antenna responses of incoming ship echoes is proposed. Later, an assessment on the proposed array calibration method is made based on the DOA estimations and current measurements that are obtained from the datasets that were collected with a multi-frequency HF (MHF) radar. MHF radar-estimated DOAs using three calibration strategies are compared with the ship directions that are provided by an Automatic Identification System (AIS). Additionally, comparisons between the MHF radar-derived currents while using three calibration strategies and Acoustic Doppler Current Profilers (ADCP)-measured currents are made. The results indicate that the proposed array calibration method is effective in DOA estimation and current measurement for phased-array HF radars, especially in the phase distortion situation.
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Wan, Bin, Xiongbin Wu, Xianchang Yue, Lan Zhang, and Li Wang. "Calibration of Phased-Array High-Frequency Radar on an Anchored Floating Platform." Remote Sensing 14, no. 9 (April 30, 2022): 2174. http://dx.doi.org/10.3390/rs14092174.

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Prior studies have highlighted the importance of calibrating receiver antennas in target direction-of-arrival (DOA) estimation and surface current measurement for high-frequency (HF) radar systems. It is worth noting that the calibration contributes to the performance of both shore-based HF radar and platform-mounted HF radar. Compared with shore-based HF radar, the influence of six-degrees-of-freedom (six-DOF) platform motion should be considered in the calibration of platform-mounted HF radar. This paper initially describes a calibration scheme that receives phasedarray antennas for an anchored platform-mounted HF radar incorporating a model of free rotation, which is called yaw rotation and dominates the six-DOF platform motion in this study. In the presence of yaw rotation, the amplitude and phase of the source calibration signal from the other shore-based radar sites reveal the directional sensitivity of the receiver phased-array antennas. The calibration of receiver phased-array antennas is composed of channel calibration (linking cables and receiver hardware calibration) and antenna pattern calibration. The antenna pattern at each bearing can be represented by the Fourier series. The estimation of channel calibration and antenna pattern calibration depends on an overdetermined HF radar system consisting of observed values and theoretical constraints, so the least-squares fits of the channel calibration coefficients and antenna pattern calibration coefficients are obtained. The experimental results show that the target DOA estimation and surface current measurement can be improved if the phased-array platform-mounted HF radar system is calibrated.
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Chen, Jenn-Shyong, Ching-Lun Su, Yen-Hsyang Chu, Gernot Hassenpflug, and Marius Zecha. "Extended Application of a Novel Phase Calibration Approach of Multiple-Frequency Range Imaging to the Chung-Li and MU VHF Radars." Journal of Atmospheric and Oceanic Technology 26, no. 11 (November 1, 2009): 2488–500. http://dx.doi.org/10.1175/2009jtecha1295.1.

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Abstract Multiple-frequency range imaging (RIM), designed to improve the range resolution of radar echo distribution, is now available for the recently upgraded Chung-Li VHF radar (24.9°N, 121.1°E). To complete the RIM technique of this radar, a novel phase calibration approach, proposed initially for the Ostsee Wind (OSWIN) VHF radar, was employed to examine the effects of phase bias and the range-weighting function on the received radar echoes. The estimated phase bias indicated a time delay of ∼1.83 μs for the signal in the radar system. In contrast, such a time delay is more difficult to determine from the phase distribution of two-frequency cross-correlation functions. The same calibration approach was also applied successfully to the middle and upper atmosphere (MU) radar (34.85°N, 136.11°E) and revealed a time delay of ∼0.33 μs for the radar parameters employed. These calibration results for various radars demonstrate the general usability of the proposed calibration approach. With the high-resolution performance of RIM, some small-scale Kelvin–Helmholtz (KH) billows, double-layer structures, and plumelike structures in the troposphere that cannot be seen in height–time intensity plots have been recognized in present observations. The billows and double layers were found to be closely related to strong vertical wind shear and small Richardson number, supporting the hypothesis of a dynamic process of KH instability. On the other hand, the plumelike structures were observed to grow out of a wavy layer and could be attributed to saturation and breaking of gravity waves. These fine structures have shown some remarkable features resolved by the RIM method applied to VHF radars in the lower atmosphere.
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Sheen, D. R., A. Freeman, and E. S. Kasischke. "Phase calibration of polarimetric radar images." IEEE Transactions on Geoscience and Remote Sensing 27, no. 6 (1989): 719–31. http://dx.doi.org/10.1109/36.35960.

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Yan, Jingye, Ailan Lan, Xiang Deng, Jiaojiao Zhang, Chi Wang, and Hongbin Qiu. "An agile high-frequency radar used for ionospheric research." Journal of Space Weather and Space Climate 11 (2021): 25. http://dx.doi.org/10.1051/swsc/2021010.

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The Super Dual Radar Network (SuperDARN) is an international high-frequency (HF) radar network used to study plasma convection in the upper atmosphere. An agile SuperDARN radar (AgileDARN radar) was deployed to join the network in Jiamusi, China. The AgileDARN radar is a digital phased array radar equipped with an field-programmable gate array (FPGA)-based digital processing unit (DPU). It can operate as a standard SuperDARN radar or a multiple-input-multiple-out (MIMO) radar. Each channel can be controlled and processed separately. Digital beam forming (DBF) is used to make beam steering flexible and beam switching fast. Multiple sub-beam forming for receiving can be implemented on FPGA or computer to improve position accuracy. Additionally, internal calibration and external calibration are carried out to improve the performance of beam forming. The internal calibration is a self-calibration without any external connections. Calibration signals are produced by the generators in DPU. The gain and phase of transmitters/receivers are read and compared to the based transmitter/receiver. Then the differences are recorded to compensate for the imbalances. During the external calibration, meteor trails are used as calibration sources to detect the imbalance between antennas (including cables). The imbalances are compensated in the same way as the internal calibration. By calibration, the amplitude and phase imbalances between channels are reduced significantly.
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Williams, Christopher R., Kenneth S. Gage, Wallace Clark, and Paul Kucera. "Monitoring the Reflectivity Calibration of a Scanning Radar Using a Profiling Radar and a Disdrometer." Journal of Atmospheric and Oceanic Technology 22, no. 7 (July 1, 2005): 1004–18. http://dx.doi.org/10.1175/jtech1759.1.

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Abstract This paper describes a method of absolutely calibrating and routinely monitoring the reflectivity calibration from a scanning weather radar using a vertically profiling radar that has been absolutely calibrated using a collocated surface disdrometer. The three instruments have different temporal and spatial resolutions, and the concept of upscaling is used to relate the small resolution volume disdrometer observations with the large resolution volume scanning radar observations. This study uses observations collected from a surface disdrometer, two profiling radars, and the National Weather Service (NWS) Weather Surveillance Radar-1988 Doppler (WSR-88D) scanning weather radar during the Texas–Florida Underflight-phase B (TEFLUN-B) ground validation field campaign held in central Florida during August and September 1998. The statistics from the 2062 matched profiling and scanning radar observations during this 2-month period indicate that the WSR-88D radar had a reflectivity 0.7 dBZ higher than the disdrometer-calibrated profiler, the standard deviation was 2.4 dBZ, and the 95% confidence interval was 0.1 dBZ. This study implies that although there is large variability between individual matched observations, the precision of a series of observations is good, allowing meaningful comparisons useful for calibration and monitoring.
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Jiang, Weijie, Erxiao Liu, Xing Kong, Shengsheng Shi, and Jianjun Liu. "Zhongshan HF Radar Elevation Calibration Based on Ground Backscatter Echoes." Electronics 11, no. 24 (December 19, 2022): 4236. http://dx.doi.org/10.3390/electronics11244236.

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The super dual auroral radar network (SuperDARN) is an important tool in the remote sensing of ionospheric potential convection in middle and high latitudes, and also a major source of elevation data detection. A reliable elevation angle helps estimate the propagation paths of high-frequency radio signals between scattering spots and radars, which is crucial for determining high-frequency radar target geolocation. The SuperDARN radar uses interferometry to estimate the elevation of the returned signal. However, elevation data are still underutilized owing to the difficulties of phase difference calibration induced by the propagation time delay between two arrays. This paper statistically analyzes the distribution features of the group range-elevation angle and group range-virtual height before and after calibration using elevation data from the ground backscatter echoes of the Zhongshan SuperDARN radar, calculating the root mean square error (RMSE) of the virtual height; the results show that the RMSE after calibration is mostly reduced to within 54% of that before calibration. Furthermore, we validate the calibration factor based on the primary phase data. The data from 2013 to 2015 indicate that this technique can be efficiently used to estimate the daily calibration factor. Finally, we present the statistical distribution of the calibration factor, which provides technical support for the calibration of elevation data in the future.
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Gourley, Jonathan J., Anthony J. Illingworth, and Pierre Tabary. "Absolute Calibration of Radar Reflectivity Using Redundancy of the Polarization Observations and Implied Constraints on Drop Shapes." Journal of Atmospheric and Oceanic Technology 26, no. 4 (April 1, 2009): 689–703. http://dx.doi.org/10.1175/2008jtecha1152.1.

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Abstract A major limitation of improved radar-based rainfall estimation is accurate calibration of radar reflectivity. In this paper, the authors fully automate a polarimetric method that uses the consistency between radar reflectivity, differential reflectivity, and the path integral of specific differential phase to calibrate reflectivity. Complete instructions are provided such that this study can serve as a guide for agencies that are upgrading their radars with polarimetric capabilities and require accurate calibration. The method is demonstrated using data from Météo-France’s operational C-band polarimetric radar. Daily averages of the calibration of radar reflectivity are shown to vary by less than 0.2 dB. In addition to achieving successful calibration, a sensitivity test is also conducted to examine the impacts of using different models relating raindrop oblateness to diameter. It turns out that this study highlights the suitability of the raindrop shape models themselves. Evidence is shown supporting the notion that there is a unique model that relates drop oblateness to diameter in midlatitudes.
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Yu, Teng, Muyang Li, Weidong Li, Huafeng Mao, Rui Wang, Cheng Hu, and Teng Long. "Polarimetric Calibration Technique for a Fully Polarimetric Entomological Radar Based on Antenna Rotation." Remote Sensing 14, no. 7 (March 23, 2022): 1551. http://dx.doi.org/10.3390/rs14071551.

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For entomological radar, the polarization information of the target is usually used to estimate the biological parameters, such as orientation, body length, and mass, of the insect. Thus, the accuracy of polarization measurement directly affects the performance of the biological parameters’ estimation. The polarization measurement error is mainly caused by the imbalance of amplitude and phase between two polarization channels and the crosstalk of the dual-polarization antenna. In order to obtain the correct polarization information of the target, the polarimetric calibration of the entomological radar is required. This paper proposes a new polarimetric calibration technique based on antenna rotation, which does not require the calibrator to have a specific polarization scattering matrix (PSM). Compared with the currently existing calibration techniques, no prior knowledge of the calibrator PSM is required (in fact, any fixed-point target can be used as a calibrator); thus, the errors introduced by the mechanical process can be avoided. Simulations and data measured by radar verify the effectiveness of the method. This method has the potential to be extended to other fully polarimetric radar systems in the future, such as fully polarimetric weather radar, fully polarimetric synthetic aperture radar (SAR), and so on.
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Wang, Linwei, Bo Li, Quanrui Zhao, Xiaowei Ji, and Changjun Yu. "Online Gain-Phase Self-Calibration Method of MIMO Array Based on Statistical Characteristics of Target Angle Distribution." Wireless Communications and Mobile Computing 2022 (July 25, 2022): 1–9. http://dx.doi.org/10.1155/2022/6951117.

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As a hot research topic, the gain-phase error self-calibration in MIMO radar systems has been investigated for many years. In this paper, we proposed a novel array error self-calibration method, termed online errors self-calibration based on feature learning (OES-FL). This method regards the statistical characteristics of the detected targets’ DOA as a prior knowledge and does not require the calibrated antenna subarray or external reference source to correct the array disturbances in real time. First, we analyse the monostatic MIMO signal model suffering gain-phase error. Then, we exploit the statistical characteristics of DOA of many targets for correcting gain-phase error of antenna array. Next, the gain-phase error estimation scheme based on LMS and the DOA deviation estimation method based on LSTM are proposed, respectively. Using real-life radar data collected at the integrated transportation hubs to generate simulation data, the proposed approach is shown to be effective in correcting gain-phase errors and, therefore, provides a promising model for online error self-calibration in monostatic MIMO radars.
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Dissertations / Theses on the topic "Radar phase calibration"

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Spargo, Andrew John. "Studies of the MLT/I using Multistatic Meteor Radar." Thesis, 2021. http://hdl.handle.net/2440/130751.

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This thesis applies a multistatic meteor radar to an investigation of the dynamics of the mesosphere lower thermosphere/ionosphere (MLT/I; 60-110 km altitude). The main radar used in the study operates at 55 MHz and is in the vicinity of Adelaide, South Australia, consisting of a monostatic radar at the Buckland Park eld site (34.6 S, 138.5 E) and a bistatic receiver located about 55 km south-east at a site in the Adelaide Hills (35.1 S, 138.8 E). The areas of investigation pertaining to MLT/I dynamics include assessing the ability of a multistatic meteor radar to measure the vertical ux of horizontal momentum and studying the interaction between gravity waves and tidal e ects. The thesis also presents a novel phase calibration technique for meteor radars, based on the use of civilian aircraft. The assessment of this radar's ability to measure MLT/I momentum uxes demonstrated that a relative uncertainty of about 75% can be expected for a monostatic con guration, assuming a ux magnitude of 20 m2s-2, a single day of integration, and a gravity wave field synthesized from a realistic spectral model. The multistatic configuration with a single bistatic receiver is shown to yield a relative uncertainty of about 65% under the same conditions. It is suggested that the increase in precision can be attributed entirely to the increase in the number of meteor detections associated with the combined monostatic and bistatic receivers, rather than due to the existence of a more favourable distribution of Bragg vectors arising from the receiver separation. A case study of winds around the autumnal equinox of 2018 revealed large modulations in diurnal tidal amplitudes, with peak component diurnal tide amplitudes of 50 ms-1 and peak zonal wind velocities of 140 ms-1. In the context of the need to verify the accuracy of momentum ux estimates from the radar, this motivated an investigation into the role momentum transport from gravity wave breaking played in modulating the tidal amplitudes. The investigation showed that while the observed gravity wave forcing exhibited a complex relationship with the tidal winds, the components of the forcing were generally seen to be approximately out of phase with the tidal winds above altitudes of 88 km. Additionally, no clear phase relationship between the tides and gravity wave forcing was observed below 88 km. Following the case study, the altitude and angle-of-arrival (AOA) errors and reduced meteor detection rates associated with suspected receiver phase calibration errors motivated the development of an alternative phase calibration technique. The technique developed was based on the use of echoes from civilian aircraft with known positions. Approximately two weeks worth of aircraft detections with the radar and a 1090 MHz Automatic Dependent Surveillance Broadcast receiver (used to receive aircraft position information) was acquired during November 2019. By taking into account the implied phase correction variability with AOA using a beamforming approach, it was shown that the aircraft-based corrections yielded an equal or smaller meteor height distribution width than the conventionally used empirical phase calibration technique. Assuming that a smaller height distribution width equates to smaller average height estimation errors, this was taken to mean that the aircraft-based approach outperformed the empirical one.
Thesis (Ph.D.) -- University of Adelaide, School of Physical Sciences, 2021
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Huang, Chia-Wei, and 黃嘉偉. "Digital Calibration for RF Impairments on Local Oscillator Phase-Shifting Array Radars." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/31589805198152703240.

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碩士
國立臺灣大學
電信工程學研究所
101
Arrays have been widely used in many aspects, such as radar, radio astronomy,sonar, communication, medical, seismology, and etc. There are also many different kinds of radar architectures in each field. Although the accuracy of the operation is required in almost all kinds of usage of array radars, some unavoidable mismatch would still exist due to the fabrication process variations. For example, amplitude errors,phase errors, and I/Q imbalance would cause damage on beamform patterns and the usage of the array radars. In the literature, baseband phase-shifting (BBPS) arrays have been the mainly discussed and a large number of digital calibration schemes has been proposed for BBPS systems. In recent years, local oscillator phase shifting (LOPS) has becoming more and more popular. However, no digital calibration scheme has been developed for LOPS systems yet. In this thesis, the application of the radar system in the local oscillator phase shifting architecture is studied. All kinds of different RF impairments are taken into consideration, and the input-output relation is derived then. A digital calibration scheme which contains an estimation method and a compensation method is presented. A comparison table between related analog calibration schemes and the proposed method is provided and shows that the proposed method leads to significant improvement compared to the previous work.
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Book chapters on the topic "Radar phase calibration"

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Manzoni, Marco. "Fast and Robust Estimation of Atmospheric Phase Screens Using C-Band Spaceborne SAR and GNSS Calibration." In Special Topics in Information Technology, 131–40. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15374-7_11.

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AbstractOver the last few years, a growing interest has been observed in the field of Interferometric Synthetic Aperture Radar (InSAR) meteorology. The atmosphere has always been seen as a disturbance in interpreting interferograms (the output product of InSAR processing). A space-borne radar, however, can sense the refractive index of the medium it travels. The refractive index, in turn, is sensitive to pressure, temperature, and humidity of the air. Therefore, SAR data contains information about the atmosphere’s status and can be exploited by Numerical Weather Prediction Models (NWPM) as additional information to improve weather forecasts. This chapter investigates a fast and robust method for generating the so-called Atmospheric Phase Screens (APS) from InSAR data. The method exploits both Permanent Scatterers (PS) and Distributed Scatterers (DS) in an optimal way leading to wide and dense APS maps. When operating at large scales, it is also mandatory to calibrate the data using a network of Global Navigation Satellite System (GNSS) receivers. The calibration can remove the so-called Orbital Phase Screens (OPS) that otherwise severely corrupt the atmospheric measurements. Results using real data acquired by the European Sentinel-1 mission show the potential of InSAR meteorology to provide valuable data to improve weather forecasts.
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Viet, Hung Tran, and Thien Hoang Minh. "A Real-Time Internal Calibration Method for Radar Systems Using Digital Phase Array Antennas." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 88–103. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77424-0_8.

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Nan, Shao, Han Xu, Bu Zhichao, Chen Yubao, Pan Xinmin, and Qin Jianfeng. "The Impact of Rotary Joint on Deviations of Amplitude and Phase and Its Calibration for Dual-Polarization Weather Radar." In Lecture Notes in Electrical Engineering, 823–36. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6504-1_99.

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Conference papers on the topic "Radar phase calibration"

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Zhang, Wei, Minglei Yang, Baixiao Chen, Yuxi Lin, and Jing Wang. "A phase error calibration method for distributed VHF radar system." In 2016 CIE International Conference on Radar (RADAR). IEEE, 2016. http://dx.doi.org/10.1109/radar.2016.8059166.

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Yu, Jason, and Jeffrey Krolik. "Adaptive phase-array calibration using MIMO radar clutter." In 2013 IEEE Radar Conference (RadarCon). IEEE, 2013. http://dx.doi.org/10.1109/radar.2013.6586120.

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Palumbo, Robert, Eric Knapp, Ken Wood, David J. McLaughlin, Christopher McCarroll, and Stephen J. Frasier. "Phase-Tilt Weather Radar: Calibration and preliminary results." In 2013 International Conference on Radar. IEEE, 2013. http://dx.doi.org/10.1109/radar.2013.6652027.

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Figueroa, Adrian, Niko Joram, and Frank Ellinger. "Automatic delay and phase mismatch calibration in FMCW MIMO radar." In 2020 17th European Radar Conference (EuRAD). IEEE, 2021. http://dx.doi.org/10.1109/eurad48048.2021.00109.

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Jeannin, Mayeul, Oliver Lang, Dian Tresna Nugraha, Farhan Bin Khalid, Simon Achatz, Andre Roger, and Mario Huemer. "An Iterative Phase Shifters Online Calibration Technique for Automotive Radar Systems." In 2022 19th European Radar Conference (EuRAD). IEEE, 2022. http://dx.doi.org/10.23919/eurad54643.2022.9924728.

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Liu Haibo, Jiang Han, Yang Xiaoqian, and Wang Junfu. "Amplitude and phase calibration of digital array radar using frequency stepped signals." In IET International Radar Conference 2013. Institution of Engineering and Technology, 2013. http://dx.doi.org/10.1049/cp.2013.0401.

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Gao, B., J. D. Mathews, and J. L. Chau. "Phase and pattern calibration of the Jicamarca radar using satellites." In 2013 US National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM). IEEE, 2013. http://dx.doi.org/10.1109/usnc-ursi-nrsm.2013.6525060.

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Magalhaes, Giorgio, Julio Leon, and Marcio de Menezes. "A Novel Calibration Method for Phased-Array Radar based on Element-wise Time Offsetting and Multi-Element Phase Toggle." In 2019 IEEE Radar Conference (RadarConf19). IEEE, 2019. http://dx.doi.org/10.1109/radar.2019.8835800.

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Ding, Li, Changchang Liu, Tianyun Wang, and Weidong Chen. "Sparse self-calibration via iterative minimization against phase synchronization mismatch for MIMO radar imaging." In 2013 IEEE Radar Conference (RadarCon). IEEE, 2013. http://dx.doi.org/10.1109/radar.2013.6586026.

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Kai Jing, Kai Jing, Congxin Li Congxin Li, Lei Cui Lei Cui, and Di Yao Di Yao. "Self-Calibration for the Multiple Channel Phase Array System Based on Near-Field Weighting." In IET International Radar Conference 2015. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/cp.2015.1336.

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Reports on the topic "Radar phase calibration"

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Wallace, H. B., and Thomas J. Pizzillo. A Technique for Calibrating the Phase Detector of a Wideband Radar Using an External Target. Fort Belvoir, VA: Defense Technical Information Center, March 1998. http://dx.doi.org/10.21236/ada341633.

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Pizzillo, Thomas J., and H. B. Wallace. A Technique for Calibrating the Phase Detector of Wideband Radars Using a Phase Modulation and Demodulation Scheme. Fort Belvoir, VA: Defense Technical Information Center, May 1998. http://dx.doi.org/10.21236/ada346080.

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