基于CS理论的一种雷达数据压缩方法
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摘要
针对压缩感知(compressive sensing,CS)技术在成像雷达中的应用,基于FPGA研究了压缩感知非相关测量框架的数字化电路设计,提出并实现了基于雷达回波模拟信号源的信息转换器(Analogue-to-Information Converter,AIC)功能的测试方案。通过对实际获得的压缩数据进行处理获得了符合预期的结果,验证了AIC电路作为一种数据压缩方法数字化设计的有效性。
Research on digital modeling and realization of non-correlation measurement frame for compressive sensing(CS) was conducted aiming at applying CS to imaging radar, and FPGA based Analogue-to-Information Converter(AIC) was proposed and implemented. Real measurement data from AIC hardware platform and simulation data from AIC software platform were compressed to get range profiles and the results are agreed well with what expected. Simulation results show that FPGA based Analogue-to-Information Converter is a validated data compression method in the radar application.
Research on digital modeling and realization of non-correlation measurement frame for compressive sensing(CS) was conducted aiming at applying CS to imaging radar, and FPGA based Analogue-to-Information Converter(AIC) was proposed and implemented. Real measurement data from AIC hardware platform and simulation data from AIC software platform were compressed to get range profiles and the results are agreed well with what expected. Simulation results show that FPGA based Analogue-to-Information Converter is a validated data compression method in the radar application.
引文
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[26]曾尚春,朱兆达.基于DCT的SAR原始数据压缩算法分析[J].电讯技术,2009,49(3):56-60.
[2]Wehner D R.High resolution radar[M].Norwood,MA,USA:Artech House,1995.
[3]Tsaig Y,Donoho D L.Extensions of compressed sensing[J].Signal Processing(S0165-1684),2006,86(3):549-571.
[4]Candes E J,Romberg J,Tao T.Robust uncertainty principles:Exact signal reconstruction from highly incomplete frequency information[J].IEEE Transactions on Information Theory(S0018-9448),2006,52(2):489-509.
[5]Baraniuk R,Steeghs P.Compressive radar imaging[C]//IEEE Radar Conference,Boston,MA,USA,Apr.17-20,2007.USA:IEEE,2007:128-133.
[6]Herman M,Strohmer T.Compressed sensing radar[C]//IEEE International Conference on Acoustics,Speech and Signal Processing,Las Vegas,NV,USA,Mar.30-Apr.4,2008.USA:IEEE,2008:1509-1512.
[7]Yoon Y S,Amin M G.Compressed sensing technique for high-resolution radar imaging[J].Proceedings of the SPIE(S0277-786X),2008,Vol.6968:69681A-69681A-10.
[8]Herman M,Strohmer T.Compressed sensing radar[C]//IEEE International Conference on Acoustics,Speech and Signal Processing,Las Vegas,NV,USA,Mar.30-Apr.4,2008.USA:IEEE,2008:1509-1512.
[9]余慧敏,方广有.压缩感知理论在探地雷达三维成像中的应用.电子与信息学报,2010,32(1):12-16.
[10]侯颖妮,李道京,洪文,等,基于稀疏阵列和压缩感知理论的艇载雷达运动目标成像研究[J].自然科学进展,2009,19(10):1110-1116.
[11]屈乐乐,黄琼,方广有.基于压缩感知的频率步进探地雷达成像算法[J].系统工程与电子技术,2010,32(2):295-297.
[12]Xie Xiaochun,Zhang Yunhua.High-resolution imaging of a moving train by ground-based radar with compressive sensing[J].Electronic Letters(S0013-5194),2010,46(7):pp.529-531.
[13]谢晓春,张云华.基于压缩感知的二维雷达成像算法[J].电子与信息学报,2010,32(5):1234-1238.
[14]Shi G M,Lin J,Chen X Y,et al.UWB echo signal detection with ultra-low rate sampling based on compressed sensing[J].IEEE Transactions on Circuits and Systems II-Express Briefs(S1549-7747),2008,55(4):379-383.
[15]Jouny I.Compressed sensing for UWB radar target signature reconstruction[C]//Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop,Marco Island,FL,USA,Jan.4-7 2009.USA:IEEE,2009:714-719.
[16]Lei Z,Mengdao X,Cheng-Wei Q,et al.Achieving higher resolution ISAR imaging with limited pulses via compressed sampling[J].IEEE Geoscience and Remote Sensing Letters(S1549-7747),2009,6(3):567-571.
[17]石光明,刘丹华,等.压缩感知理论及其研究进展[J].电子学报,2009,37(5):1070-1081.
[18]Laska J N,Kirolos S,Duarte M F,Ragheb T S,Baraniuk R G,Massoud Y.Theory and implementation of an analog-to-information converter using random demodulation[C]//IEEE Int.Symp.on Circuits and Systems,New Orleans,LA,USA,May 2007.USA:IEEE,2007:1959-1962.
[19]Shanley T,Anderson D.PCI system architecture[M].(fourth edition),Boston,USA:Addison-Wesley,1999.
[20]Kwok R,Johnson W T K.Block adaptive quantization of Magellan SAR data[J].IEEE Transactions on Geoscience and Remote Sensing(S0196-2892),1989,27(4):375-383.
[21]Benz U,Strodl K,Moreira A.A comparison of several algorithms for SAR raw data compression[J].IEEE Transactions on Geoscience and Remote Sensing(S0196-2892),1995,33(5):1266-1276.
[22]Lebedeff D,Mathieu P,Barlaud E,et al.Adaptive vector quantization for raw SAR data[C]//International Conference on Acoustics,Speech,and Signal Processing.USA:IEEE Service Center,1995,4:2511-2514.
[23]Pascazio V,Schirinzi G.Wavelet transform coding for SAR raw data compression[C]//International Geoscience and Remote Sensing Symposium Proceedings.Hamburg,Germany:IEEE,1999,4:2251-2253.
[24]胡晓新,王岩飞,秦蕾.基于提升小波的SAR原始数据压缩算法[J].电子与信息学报,2006,28(5):919-922.
[25]张文超,王岩飞,潘志刚.基于2D实值离散Gabor变换的SAR原始数据压缩[J].电子与信息学报,2008,30(3):569-572.
[26]曾尚春,朱兆达.基于DCT的SAR原始数据压缩算法分析[J].电讯技术,2009,49(3):56-60.