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二维稀疏采样下的双通道SAR地面运动目标检测方法 被引量：1

Dual-channel SAR-GMTI method based on sparse sampling in 2-dimensional domain
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摘要 多通道合成孔径雷达(synthetic aperture radar,SAR)地面运动目标检测系统具有良好的主瓣杂波抑制能力,但是其采样数据量过大的问题给数据存储与传输系统带来沉重负担。针对该问题,提出一种二维稀疏采样下的双通道SAR运动目标检测方法。该方法首先在距离和方位两维域进行随机稀疏采样,然后利用压缩感知技术对双通道的SAR回波数据进行联合处理,构造变换矩阵将目标能量支撑区从所有场景散射点的能量支撑区中进行分离,采用基于加权的最小l1范数优化模型进行杂波抑制与运动目标成像。所提算法能够有效降低原始数据量,在杂波散射点的空间分布稀疏性较差的情况下,仍可以较好地检测地面运动目标。仿真实验验证了所提算法的有效性。 Multi-channel synthetic aperture radar （SAR） system has an excellent performance of main-lobe clutter suppression, but the resulting enormous amount of sampling raw data increases storage and transmission load. To alleviate this problem, a dual-channel SAR ground moving target indication （GMTI） method based on sparse sampling in 2-dimensional （2-D） domain is proposed. In this method, the signal is randomly and sparsely sampled in the range and azimuth 2-D directions, and then compressive sensing is utilized to process jointly the two channel raw data. A transform matrix is firstly constructed to separate the energy support areas of moving targets from the energy support areas of all scattering centers. Then, clutter suppression and moving target imaging are obtained by solving a weighted l1 norm optimization. The proposed method performs well even if only a few SAR raw data are acquired and clutter scattering centers have a low sparse level. Simulation results demonstrate the effectiveness of the method.
作者 王伟伟 廖桂生 朱圣棋
机构地区 西安电子科技大学雷达信号处理国家重点实验室
出处 《系统工程与电子技术》 EI CSCD 北大核心 2012年第12期2444-2450,共7页 Systems Engineering and Electronics
基金 国家重点基础研究发展计划(973计划)(2010CB731903) 国家自然科学基金(61101249) 西安电子科技大学基本科研业务费(k50510020014)资助课题
关键词 合成孔径雷达 二维稀疏采样 地面运动目标检测 加权l1范数优化 synthetic aperture radar （SAR） 2-D sparse sampling ground moving target indication （GMTI） weighted l1 optimization
分类号 TN957.52 [电子电信—信号与信息处理]
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参考文献17

  • 1Wang H S C. Mainlobe clutter cancellation by DPCA for space- based radars[C]//Proc, of the Aerospace Applications Confer- ence Digest, 1991: 1-10.
  • 2Pascazio V, Schirinzi V, Farina A. Moving target detection by along-track interferometry[C]// Proc. of the International Geo- science and Remote Sensing Symposium, 2001 : 3024 - 3026.
  • 3Sikaneta I, Gierull C H. Ground moving target detection for along-track interferometric SAR data[C]//Proc, of the Aero- space Conference, 2004 : 2227 - 2235.
  • 4Candes E J, Romberg J, Tao T. Robust uncertainty principles exact signal reconstruction from highly incomplete frequency in formation[J]. IEEE Trans. on Information Theory, 2006, 52(2) 489 - 509.
  • 5Donoho D L. Compressed sensing[J]. IEEE Trans. on Infor- mation Theory, 2006, 52(4) :1289 - 1306.
  • 6Candes E J, Wakin M B. An introduction to compressive sam- pling[J]. IEEE Signal Processing Magazine, 2008, 25 (2) : 21 -30.
  • 7Potter L C, Ertin E, Parter J T, et al. Sparsity and compressed sensing in radar imaging[J]. Proceedings of the IEEE, 2010, 98(6):1006 - 1020.
  • 8Zhang L, Xing M D, Qiu C W, et al. Resolution enhancement for inversed synthetic aperture radar imaging under low SNR via improved compressive sensing[J]. IEEE Trans. on Geoseience and Remote Sensing, 2010, 48(10) :3824 - 3838.
  • 9Alonso M T, Lopez D P, Mallorqui J J. A novel strategy for ra- dar imaging based on compressive sensing[J]. IEEE Trans. on Geoscience and Remote Sensing, 2010, 42(18): 4285 -4295.
  • 10Sun K, Meng H D, Fabian D L. Registration-based compensa- tion using sparse representation in conformal-array STAP[J]. Signal Processing, 2011, 91(10) :2222 - 2236.

二级参考文献16

  • 1Tsaig Y and Donoho D L.Extensions of compressed sensing[J].Signal Processing,2006,86(3):549-571.
  • 2Candes E J,Romberg J,and Tao T.Robust uncertainty principles:Exact signal reconstruction from highly incomplete frequency information[J].IEEE Transactions on Information Theory,2006,52(2):489-509.
  • 3Baraniuk R and Steeghs P.Compressive radar imaging[C].IEEE Radar Conference,Boston,MA,USA,Apr.17-20,2007:128-133.
  • 4Herman M and Strohmer T.Compressed sensing radar[C].IEEE International Conference on Acoustics,Speech and Signal Processing,Las Vegas,NV,USA,Mar.30-Apr.4,2008:1509-1512.
  • 5Yoon Y S and Amin M G.Compressed sensing technique for high-resolution radar imaging[J].Proceedings of the SPIE,2008,Vol.6968:69681A-69681A-10.
  • 6Varshney K R,Cetin M,and Fisher J W,et al..Sparse representation in structured dictionaries with application to synthetic aperture radar[J].IEEE Transactions on Signal Processing,2008,56(8):3548-3561.
  • 7Potter L C,Schniter P,and Ziniel J.Sparse reconstruction for radar[J].Proceedings of the SPIE,2008,Vol.6970:697003-697003-15.
  • 8Tello M,Lopez-Dekker P,and Mallorqui J J.A novel strategy for radar imaging based on compressive sensing[C].International Geoscience and Remote Sensing Symposium,Boston,MA,USA,Jul.7-11,2008,Vol.2:II-213-II-216.
  • 9Gurbuz A C,Mcclellan J H,and Scott W R Jr.GPR imaging using compressed measurements[C].International Geoscience and Remote Sensing Symposium,International Geoscience and Remote Sensing Symposium,Boston,MA,USA,Jul.7-11,2008,Vol.2:II-13-II-16.
  • 10Lin Yun,Hong Wen,and Tan Wei-xian,et al..Compressed sensing technique for circular SAR imaging[C].IET International Radar Conference,Guilin,China,Apr.20-22,2009:676-679.

共引文献48

同被引文献19

  • 1Lu G H, Wang J F, Liu X Z. Ground moving target indication in SAR images by symmetric defocusing[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(2):241-245.
  • 2Xu J, Zuo Y, Xia B, et al. Ground moving target signal analysis in complex image domain for multiehannel SAR[J]. IEEE Trans. on Geoscience and Remote Sensing, 2012, 50(2) : 538 - 552.
  • 3Xu R P, Zhang D D, Hu D H, et al. A novel motion parameter estimation algorithm of fast moving targets via single antenna airborne SAR system [J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(5): 920-924.
  • 4Gang L, Xia X G, Xu J, et al. A velocity estimation algorithm of moving targets using single antenna SAR[J]. IEEE Trans. on Aerospace and Electronic Systezns, 2009, 45(3) : 1052 - 1062.
  • 5Cerutti M, Sikaneta I. A generalization of DPCA processing for multichannel SAR/GMTI radars[J]. IEEE Trans. on Geoscience and Remote Sensing, 2013,51 (1) : 560 - 572.
  • 6Chapin E, Chen C W. Airborne along-track interferometry for GMTI[J]. IEEE Aerospace and Electronic Systems Magazine, 2009, 24(5): 13-18.
  • 7Hersey R K, Melvin W L, McClellan J H, et al. Adaptive ground clutter suppression for conformal array radar systems[J]. IET Radar Sonar Navigation, 2009, 3 (4) : 357 - 372.
  • 8Zhu X M, Li J, Stoiea P. Knowledge-aided space-time adaptive processing[J]. IEEE Trans. on Aerospace and Electronic Sys- tems, 2011, 47(2): 1325-1336.
  • 9Raney R K. Synthetic aperture imaging radar and moving tar- gets[J]. IEEE Trans. on Aerospace and Electronic Systems, 1971, 7(3) : 499-505.
  • 10Xu J, Zuo Y, Xia B, et al. Ground moving target signal analy sis in complex image domain for multichannel SAR[J]. IEEE Trans. on Geoscience and Remote Sensing ,2012,50(2):538- 552.

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系统工程与电子技术
2012年 第12期

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