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2016 IEEE Radar Conference (RadarConf)最新文献

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Cognitive target tracking using FDA radar for increased SINR performance 认知目标跟踪使用FDA雷达增加SINR性能
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485252
Zhe Wang, Wen-qin Wang, Jie Xiong
{"title":"Cognitive target tracking using FDA radar for increased SINR performance","authors":"Zhe Wang, Wen-qin Wang, Jie Xiong","doi":"10.1109/RADAR.2016.7485252","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485252","url":null,"abstract":"Different from a phased-array, frequency diverse array (FDA) offers a range-dependent beampattern. By jointly utilizing the advantages of cognitive radar in environment sensing and FDA with range-dependent transmit beampattern, this paper proposes a cognitive target tracking scheme using FDA radar for increased output signal-to-interferences plus noise ratio (SINR) performance due to its range-dependent interference suppression capability. The proposed method can avoid undesired strong interferences and focus to the desired targets by optimizing the frequency increment via adaptive target tracking to maximize the output SINR performance. Simulation results verify that the method yields much better SINR and significantly suppresses range-dependent interferences, which is beneficial for target detection, localization and tracking applications.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134629930","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: 6
Bistatic space-debris surveillance radar 双基地空间碎片监视雷达
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485184
S. Saillant
{"title":"Bistatic space-debris surveillance radar","authors":"S. Saillant","doi":"10.1109/RADAR.2016.7485184","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485184","url":null,"abstract":"Space Surveillance and Tracking (SST) segment is the part of Space Surveillance Awareness (SSA) program of ESA (European Space Agency) dedicated to the detection and tracking of debris in orbit around the Earth. A European consortium lead by ONERA has been constituted to realize a radar demonstrator in a realistic operational environment. It has been chosen to design, to develop, to realize and to validate one bistatic breadboard system to build a demonstrator for real radar capacities for space objects detection and tracking.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133110279","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
Radar cross section calculation for subsurface objects 地下目标雷达截面计算
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485283
A. Yu, Osamudiame Idubore, M. Dimian
{"title":"Radar cross section calculation for subsurface objects","authors":"A. Yu, Osamudiame Idubore, M. Dimian","doi":"10.1109/RADAR.2016.7485283","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485283","url":null,"abstract":"In this paper we establish a layered soil model with full wave electromagnetic simulation software package FEKO to characterize subsurface objects, in particular landmines and improvised explosive devices (IED's). We perform a parametric study of the landmine Radar Cross Section (RCS) by varying the material properties (permittivity and conductivity) of the landmine, the depth of the landmine, as well as the incident wave direction. The simulation provides insight into the relationship between the physical parameters of the landmine and its radar signatures. The results are helpful in developing landmine detection systems with forward looking capability. The methodology is advantageous for accumulating landmine RCS information in a cost-effective manner.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133828687","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
An l1-regularized least squares algorithm for reconstructing step-frequency ground penetrating radar images 一种用于步进频率探地雷达图像重建的11 -正则化最小二乘算法
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485297
Henry C. Ogworonjo, John M. M. Anderson, M. Ndoye, L. Nguyen
{"title":"An l1-regularized least squares algorithm for reconstructing step-frequency ground penetrating radar images","authors":"Henry C. Ogworonjo, John M. M. Anderson, M. Ndoye, L. Nguyen","doi":"10.1109/RADAR.2016.7485297","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485297","url":null,"abstract":"Impulse-based ground penetrating radar (GPR) has been proposed as a way to detect landmines and improvised explosive devices (IEDs). However, a drawback of such radar systems is the difficulty in transmitting a signal with an arbitrary bandwidth and shape. Step-frequency GPR has been recognized as a way to precisely control the bandwidth and spectral shape of the transmitted pulse. In this paper, we extend a previously developed ℓ1-regularized least squares algorithm, which has been successfully applied to impulse-based GPR image reconstruction, to step-frequency GPR. We investigate the performance of the proposed algorithm using simulated step-frequency GPR data. The initial results are promising.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133876043","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
Pose estimation based on exploration of geometrical information in SAR images 基于SAR图像几何信息挖掘的位姿估计
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485084
Yicheng Jiang, Xiaohui Zhao, Yun Zhang, B. Hu, Yuan Zhuang
{"title":"Pose estimation based on exploration of geometrical information in SAR images","authors":"Yicheng Jiang, Xiaohui Zhao, Yun Zhang, B. Hu, Yuan Zhuang","doi":"10.1109/RADAR.2016.7485084","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485084","url":null,"abstract":"Pose normalization is beneficial for improving the accuracy of Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR). In fact, pose normalization can be achieved by rotating the given images according to the estimated pose of the target of interest. However, the partial defect targets in SAR images caused by the shadow effect affects the accuracy of pose estimation. This paper proposes a pose estimation method based on the exploration of the geometrical information of the target of interest in SAR images. The proposed method is evaluated with the moving and stationary target acquisition and recognition (MSTAR) public release dataset. Experimental results verify the effectiveness of the proposed method.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125223881","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
Multi-target localization using frequency diverse coprime arrays with coprime frequency offsets 多目标定位使用不同频率的同素阵列与同素频率偏移
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485154
Si Qin, Yimin D. Zhang, M. Amin
{"title":"Multi-target localization using frequency diverse coprime arrays with coprime frequency offsets","authors":"Si Qin, Yimin D. Zhang, M. Amin","doi":"10.1109/RADAR.2016.7485154","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485154","url":null,"abstract":"The performance of the frequency diverse array (FDA) radar is fundamentally limited by the geometry of the array and the frequency offset. In this paper, we overcome this limitation by introducing a novel sparsity-based multi-target localization approach incorporating both coprime array and coprime frequency offset. The covariance matrix of the received signals corresponding to all sensors and employed frequencies is formulated to generate a space-frequency virtual difference coarrays. The proposed approach enables the localization of up to O(M2 N2) targets using O(M + N) physical sensors with O(M + N) frequencies for a coprime pair of M and N. The joint DOA and range estimation is cast as a sparse reconstruction problem and solved using the complex multi-task Bayesian compressive sensing technique.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132017652","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: 16
Range-Doppler processing via fourier coefficients: The path to a sub-Nyquist SAR 通过傅立叶系数的距离-多普勒处理:到达亚奈奎斯特SAR的路径
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485295
Kfir Aberman, Yonina C. Eldar
{"title":"Range-Doppler processing via fourier coefficients: The path to a sub-Nyquist SAR","authors":"Kfir Aberman, Yonina C. Eldar","doi":"10.1109/RADAR.2016.7485295","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485295","url":null,"abstract":"The increasing demand for wide swath, high-resolution, Synthetic Aperture Radar (SAR) images, requires high sampling rates which are difficult to attain in practice. Consequently, sampling rate reduction is of high practical value in radar imaging. In this paper, we introduce a new algorithm, equivalent to the well-known Range-Doppler method, to process SAR data using the Fourier coefficients of the raw signals. We then demonstrate how to exploit the new algorithm features, particularly, the relationship between the processed signals before and after Range Cells Migration Correction (RCMC), to reduce sampling rate at the acquisition stage and process the signals effectively at sub-Nyquist rates. Beyond sampling rate reduction, the proposed fast recovery algorithm forms a new CS-SAR imaging method that can be applied to high-quality and high-resolution real SAR imaging data acquired at sub-Nyquist rates. The performance of the algorithms is assessed using simulated data sets.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":" 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132095824","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
Fast gradient descent for multi-objective waveform design 基于快速梯度下降的多目标波形设计
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485136
Brian N. O’Donnell, J. M. Baden
{"title":"Fast gradient descent for multi-objective waveform design","authors":"Brian N. O’Donnell, J. M. Baden","doi":"10.1109/RADAR.2016.7485136","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485136","url":null,"abstract":"Gradient descent methods have not typically been applied to the design of phase coded sequences because their derivations require O(N2) computations. Previous papers have shown computational simplifications which reduce the number of computations for designing sequences with good autocorrelation and cross-correlation properties to O(N logN). In this paper, we present derivations and algorithms for designing sequences with specific autocorrelation, cross-correlation, and spectral properties, and show how sequences can be designed to also have these properties be good simultaneously. Sequences with autocorrelation and cross-correlation constraints meet the known bounds. Adding spectral constraints degrades the correlation properties of the designed sequences, and we quantify those effects by example.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132170710","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: 16
PMCW waveform and MIMO technique for a 79 GHz CMOS automotive radar 79 GHz CMOS汽车雷达的PMCW波形和MIMO技术
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485114
A. Bourdoux, U. Ahmad, D. Guermandi, S. Brebels, A. Dewilde, W. V. Thillo
{"title":"PMCW waveform and MIMO technique for a 79 GHz CMOS automotive radar","authors":"A. Bourdoux, U. Ahmad, D. Guermandi, S. Brebels, A. Dewilde, W. V. Thillo","doi":"10.1109/RADAR.2016.7485114","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485114","url":null,"abstract":"Automotive radars in the 77-81 GHz band will be widely deployed in the coming years. This paper provides a comparison of the bi-phase modulated continuous wave (PMCW) and linear frequency-modulated continuous wave (FMCW) waveforms for these radars. The comparison covers performance, implementation and other non technical aspects. Multiple Input Multiple Output (MIMO) radars require perfectly orthogonal waveforms on the different transmit antennas, preferably transmitting simultaneously for fast illumination. In this paper, we propose two techniques: Outer code and Range domain, to enable MIMO processing on the PMCW radars. The proposed MIMO techniques are verified with both simulation and lab experiments, on a fully integrated deep-submicron CMOS integrated circuit designed for a 79 GHz PMCW radar. Our analysis shows that, although not widely used in the automotive industry, PMCW radars are advantageous for low cost, high volume single-chip production and excellent performance.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132621330","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: 66
Over-sampled polyphase code design for physical implementation with spectral and correlation consideration 考虑频谱和相关的物理实现的过采样多相码设计
2016 IEEE Radar Conference (RadarConf) Pub Date : 2016-05-02 DOI: 10.1109/RADAR.2016.7485123
Dehua Zhao, Yinsheng Wei, Yongtan Liu
{"title":"Over-sampled polyphase code design for physical implementation with spectral and correlation consideration","authors":"Dehua Zhao, Yinsheng Wei, Yongtan Liu","doi":"10.1109/RADAR.2016.7485123","DOIUrl":"https://doi.org/10.1109/RADAR.2016.7485123","url":null,"abstract":"This paper presents an approach for designing continuous phase modulation (CPM) waveform with good spectral compatibility and low correlation properties. The suggested approach is to first design over-sampled polyphase code with stopband and correlation constraint, and then transform the polyphase code into CPM waveform. Applying over-sampling ensures that the resulting CPM waveform would well inherit the spectral and correlation properties from the designed polyphase code. To cope with such over-sampled code optimization, special considerations on both spectral and correlation penalty function are illustrated, and an efficient alternating projection method based on (I)FFT is proposed accordingly. Numeric results validate both the CPM waveform design approach and the over-sampled polyphase code optimization method.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114766985","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: 6
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