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Adaptive phase-array calibration using MIMO radar clutter 基于MIMO雷达杂波的自适应相控阵校准
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6586120
Jason Yu, J. Krolik
{"title":"Adaptive phase-array calibration using MIMO radar clutter","authors":"Jason Yu, J. Krolik","doi":"10.1109/RADAR.2013.6586120","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6586120","url":null,"abstract":"The goal of this paper is to develop methods for determining the calibrated array weights for uniform linear transmit and receive radar arrays necessary to achieve desired uniform sidelobe performance. The ability of current radar systems to suppress sidelobe clutter and interference is seriously limited by miscalibration of antenna array gain and phase due to non-ideal antenna and near-field scattering characteristics, both at the receive and transmit phased-arrays. At best, current calibration methods perform only receive array calibration using a limited number of discrete sources. The objective of this paper is to perform joint transmit and receive array calibration using ground backscatter returns from MIMO radar illumination.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128294280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Improved distributed automatic target recognition performance via spatial diversity and data fusion 通过空间分集和数据融合提高分布式自动目标识别性能
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6586031
J. Wilcher, W. Melvin, A. Lanterman
{"title":"Improved distributed automatic target recognition performance via spatial diversity and data fusion","authors":"J. Wilcher, W. Melvin, A. Lanterman","doi":"10.1109/RADAR.2013.6586031","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6586031","url":null,"abstract":"Radar target classification is examined from the viewpoint of improving classification performance through the use of spatial diversity. Improved radar target classification has been demonstrated previously by using at least one additional perspective in a generic environment but the impact of sensor placement has been less studied. In this paper, we examine the use of multiple high range resolution (HRR) profiles to demonstrate how selection of sensor locations can improve classification rates. Specifically, performance improvements are demonstrated after identifying the optimal set of perspectives and employing a simple decision fusion network (DFN) algorithm for defined signal-to-noise (SNR) levels. We show percentages of correct classification (PCC) can be maintained in scenarios where SNR has been reduced by up to 9 dB on a single sensor basis.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129461280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Radar power amplifier circuit and waveform optimization for spectrally confined, reconfigurable radar systems 频谱受限、可重构雷达系统的雷达功率放大电路和波形优化
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6586037
C. Baylis, Joshua Martin, Matthew Fellows, David D. Moon, M. Moldovan, L. Cohen, R. Marks
{"title":"Radar power amplifier circuit and waveform optimization for spectrally confined, reconfigurable radar systems","authors":"C. Baylis, Joshua Martin, Matthew Fellows, David D. Moon, M. Moldovan, L. Cohen, R. Marks","doi":"10.1109/RADAR.2013.6586037","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6586037","url":null,"abstract":"Increasingly stringent spectral spreading constraints are motivating a paradigm shift in the spectrum engineering of radar systems. Future spectrum requirements will likely dictate narrower spectral masks that will change based on geography. The desire to operate radar systems efficiently with waveforms that will provide desired detection capabilities must mesh with the need to meet spectral mask criteria. To this end, a collaborative research effort between Baylor University and the U.S. Naval Research Laboratory has resulted in the design of reconfigurable circuit and waveform approaches to optimize spectral confinement, power efficiency, and detection capabilities. This paper surveys the joint optimization approach and describes innovations by the authors in circuit and waveform reconfiguration that will be useful in future flexible radar transmitters.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126658724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Transmitter-in-the-loop optimization of distorted OFDM radar emissions 失真OFDM雷达发射的发射机环内优化
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6586121
John Jakabosky, L. Ryan, S. Blunt
{"title":"Transmitter-in-the-loop optimization of distorted OFDM radar emissions","authors":"John Jakabosky, L. Ryan, S. Blunt","doi":"10.1109/RADAR.2013.6586121","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6586121","url":null,"abstract":"The inherent amplitude modulation of orthogonal frequency division multiplexing (OFDM) has limited its use in radar due to transmitter-induced distortion. Specifically, there is a necessary trade-off between reduced SNR caused by power back-off to accommodate these AM effects and the waveform distortion that occurs when driving the amplifier closer to saturation. Here a method is developed to design OFDM-based radar emissions with low range sidelobes in the presence of transmitter-induced distortion. This work builds upon previous results for hardware-in-the-loop optimization of continuous phase modulation (CPM) waveforms to demonstrate how saturated OFDM emissions may potentially provide a feasible alternative waveform design scheme.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126981350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 21
Development and calibration of a X-band dual polarization phased array radar x波段双极化相控阵雷达研制与标定
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6586117
K. Orzel, V. Venkatesh, T. Hartley, S. Frasier
{"title":"Development and calibration of a X-band dual polarization phased array radar","authors":"K. Orzel, V. Venkatesh, T. Hartley, S. Frasier","doi":"10.1109/RADAR.2013.6586117","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6586117","url":null,"abstract":"This paper describes the X-band dual polarization phased array radar developed at the University of Massachusetts. The high level system architecture is presented and an in-field calibration procedure is developed.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130633458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
Compressive radar clutter subspace estimation using dictionary learning 基于字典学习的压缩雷达杂波子空间估计
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6586160
L. Bai, Sumit Roy, M. Rangaswamy
{"title":"Compressive radar clutter subspace estimation using dictionary learning","authors":"L. Bai, Sumit Roy, M. Rangaswamy","doi":"10.1109/RADAR.2013.6586160","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6586160","url":null,"abstract":"Space-Time Adaptive Processing (STAP) based on matched filter processing in the presence of additive clutter (modeled as colored noise) requires knowledge of the clutter covariance matrix. In practice, this is estimated via the sample covariance matrix using samples from the neighboring range bins around the reference bin. By applying compressive sensing, the number of training samples needed to estimate the covariance matrix can be significantly reduced, provided that the basis mismatch problem, inherent to compressive sensing can be mitigated. This paper presents an adaptive approach to choosing the best sparsifying basis, using dictionary learning to estimate the radar clutter subspace. Numerical results show that the proposed algorithm achieves the desired reduction in training samples, and is more accurate than previous reduced-rank algorithm baseline.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124153865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 21
Multi-modal OFDM waveform design 多模态OFDM波形设计
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6586097
S. Gogineni, M. Rangaswamy, A. Nehorai
{"title":"Multi-modal OFDM waveform design","authors":"S. Gogineni, M. Rangaswamy, A. Nehorai","doi":"10.1109/RADAR.2013.6586097","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6586097","url":null,"abstract":"Due to limitations in the bandwidth resources, sharing the spectrum across several modalities has become increasingly important. In this paper, we will consider OFDM spectral sharing between radar and wireless communication systems. We will define and compute the importance of each sub-carrier to both the modalities by considering the radar detection performance and channel capacity. We will design the OFDM waveforms for communications and radar by appropriately allocating the sub-carriers using these importance functions. Using numerical simulations, we will demonstrate the performance of our proposed design mechanism.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124536721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 31
Joint Along Track Interferometry and Space-Time Adaptive Processing for target detection and geolocation 联合沿航迹干涉与空时自适应处理用于目标检测与定位
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6585968
F. Uysal, V. Murthy, K. Li, S. Pillai, M. Davis
{"title":"Joint Along Track Interferometry and Space-Time Adaptive Processing for target detection and geolocation","authors":"F. Uysal, V. Murthy, K. Li, S. Pillai, M. Davis","doi":"10.1109/RADAR.2013.6585968","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6585968","url":null,"abstract":"This paper presents a new adaptive radar signal processing technique for target detection and geolocation using radar data from platforms capable of performing simultaneous Synthetic Aperture Radar (SAR) and Along-Track Interferometry (ATI). Space-Time Adaptive Processing (STAP) and ATI processing methodologies are combined in parallel to simultaneously image, detect and identify the geolocation of moving targets over clutter using data obtained from a single set of measurements. Proposed method allows use of a common data source and interconnected methods to fully exploit the information content of the measured data for improved target detection and geolocation.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127781869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Adaptive high resolution MIMO radar with unitary waveform matrix scheduling 具有统一波形矩阵调度的自适应高分辨率MIMO雷达
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6586145
T. Qureshi, M. Zoltowski
{"title":"Adaptive high resolution MIMO radar with unitary waveform matrix scheduling","authors":"T. Qureshi, M. Zoltowski","doi":"10.1109/RADAR.2013.6586145","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6586145","url":null,"abstract":"In this paper, we present a method of detecting the range and Doppler phase of a point target using multiple antennas. As a key illustrative example, we consider a 4 × 4 system employing a unitary matrix waveform set, e.g., formed from Golay complementary sequences. When a non-negligible Doppler shift is induced by the target motion, the waveform matrix formed from the complementary sequences is no longer unitary, resulting in significantly degraded target range estimates. To solve this problem, a novel Doppler estimation and compensation scheme based on a clever application of DFT is developed that provides notable improvements, both in detection performance, and processing times. We present means to adaptively control the transmitted waveforms to further enhance the system performance. Proof-of-concept simulations are presented verifying the efficacy of the proposed Doppler compensation and estimation technique for our unitary waveform matrix designs.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126446404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fixed-receiver bistatic interferometric algorithms analysis and implementation 固定接收机双基地干涉算法分析与实现
2013 IEEE Radar Conference (RadarCon13) Pub Date : 2013-09-09 DOI: 10.1109/RADAR.2013.6586019
Zhu Mao, Hu Cheng, Zeng Tao, L. Yuanhao, Gao Yangte
{"title":"Fixed-receiver bistatic interferometric algorithms analysis and implementation","authors":"Zhu Mao, Hu Cheng, Zeng Tao, L. Yuanhao, Gao Yangte","doi":"10.1109/RADAR.2013.6586019","DOIUrl":"https://doi.org/10.1109/RADAR.2013.6586019","url":null,"abstract":"This paper presents theory, algorithm, and results of a new interferometry SAR (InSAR) method that is capable of generating digital elevation models (DEM) from the data acquired in an innovative bistatic configuration that uses orbital sensors as transmitters of opportunity and stationary receivers on ground. The novel approach distinguishes from the conventional InSAR methodology implemented in monostatic case, because the cylindrical projection rule in monostatic configuration has already transformed into ellipsoidal projection rule in bistatic counterpart. Furthermore, the contrast of vital InSAR procedures between these two configurations, usually called reference phase compensation and phase to height conversion, has been compared and highlighted in detail. Meanwhile, the examples of simulated data and real data process are discussed, which demonstrates the feasibility of the new algorithm.","PeriodicalId":396946,"journal":{"name":"2013 IEEE Radar Conference (RadarCon13)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131349046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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