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基于正交压缩采样系统的脉冲雷达回波信号实时重构方法

张素玲 席峰 陈胜垚 刘中

张素玲, 席峰, 陈胜垚, 刘中. 基于正交压缩采样系统的脉冲雷达回波信号实时重构方法[J]. 电子与信息学报, 2016, 38(5): 1064-1071. doi: 10.11999/JEIT150767
引用本文: 张素玲, 席峰, 陈胜垚, 刘中. 基于正交压缩采样系统的脉冲雷达回波信号实时重构方法[J]. 电子与信息学报, 2016, 38(5): 1064-1071. doi: 10.11999/JEIT150767
ZHANG Suling, XI Feng, CHEN Shengyao, LIU Zhong. A Real-time Reconstruction Scheme of Pulsed Radar Echoes with Quadrature Compressive Sampling[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1064-1071. doi: 10.11999/JEIT150767
Citation: ZHANG Suling, XI Feng, CHEN Shengyao, LIU Zhong. A Real-time Reconstruction Scheme of Pulsed Radar Echoes with Quadrature Compressive Sampling[J]. Journal of Electronics & Information Technology, 2016, 38(5): 1064-1071. doi: 10.11999/JEIT150767

基于正交压缩采样系统的脉冲雷达回波信号实时重构方法

doi: 10.11999/JEIT150767
基金项目: 

国家自然科学基金(61171166, 61401210, 61571228),中国博士后科学基金(2014M551597)

A Real-time Reconstruction Scheme of Pulsed Radar Echoes with Quadrature Compressive Sampling

Funds: 

The National Natural Science Foundation of China (61171166, 61401210, 61571228), China Postdoctoral Science Foundation (2014M551597)

  • 摘要: 正交压缩采样是低速获取带通模拟信号同相和正交分量的新型模信转换系统,可广泛应用于雷达、通信等电子系统。但是对于宽带或超宽带脉冲雷达,重构奈奎斯特率的全程回波信号需要大的存储空间和计算量,以致于难以实现实时重构。该文在对正交压缩采样系统特性进行分析的基础上,将测量矩阵近似成一种具有特殊带状结构的矩阵,然后采用分段滑动重构思想实现实时重构。仿真结果表明,在对测量矩阵进行合理近似的基础上,该文提出的重构方法可以极大地节省存储空间和计算时间,实现近似最优的重构性能。
  • DONOHO D L. Compressed sensing[J]. IEEE Transactions on Information Theory, 2006, 52(4): 1289-1306. doi: 10.1109/ TIT.2006.871582.
    CANDS E J and TAO T. Near-optimal signal recovery from random projections: universal encoding strategies?[J]. IEEE Transactions on Information Theory, 2006, 52(12): 5406-5425. doi: 10.1109/TIT.2006.885507.
    CANDS E J and TAO T. Decoding by linear programming [J]. IEEE Transactions on Information Theory, 2005, 51(12): 4203-4215. doi: 10.1109/TIT.2005.858979.
    YOO J, TURNES C, NAKAMURA E B, et al. A compressed sensing parameter extraction platform for radar pulse signal acquisition[J]. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2012, 2(3): 626-638. doi: 10.1109/JETCAS.2012.2214634.
    BARANSKY E, ITZHAK G, WAGNER N, et al. Sub- Nyquist radar prototype: hardware and algorithm[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(2): 809-822. doi: 10.1109/TAES.2014.120475.
    BAR-ILAN O and ELDAR Y C. Sub-Nyquist radar via Doppler focusing[J]. IEEE Transactions on Signal Processing, 2014, 62(7): 1796-1811. doi: 10.1109/TSP.2014.2304917.
    LIU C, XI F, CHEN S, et al. A pulse-Doppler processing scheme for quadrature compressive sampling radar[C]. Proceedings of the 19th International Conference on Digital Signal Processing (DSP), Hong Kong, China, 2014: 676-681. doi: 10.1109/ICDSP.2014.6900750.
    LIU C, XI F, CHEN S, et al. Pulse-Doppler signal processing with quadrature compressive sampling[J]. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(2): 1217-1230. doi: 10.1109/TAES.2014.130475.
    KIROLOS S, LASKA J, WAKIN M, et al. Analog-to- information conversion via random demodulation[C]. Proceedings of the IEEE Dallas/CAS Workshop on Design, Applications, Integration and Software (DCAS), Richardson, TX, USA, 2006: 71-74. doi: 10.1109/DCAS.2006. 321036.
    TROPP J A, LASKA J N, DUARTE M F, et al. Beyond Nyquist: efficient sampling of sparse bandlimited signals[J]. IEEE Transactions on Information Theory, 2010, 56(1): 520-544. doi: 10.1109/TIT.2009.2034811.
    BECKER S R. Practical compressed sensing: modern data acquisition and signal processing[D]. [Ph.D. dissertation], California Institute of Technology, Pasadena, CA, USA, 2011.
    MISHALI M, ELDAR Y C, and ELRON A J. Xampling: signal acquisition and processing in union of subspaces[J]. IEEE Transactions on Signal Processing, 2011, 59(10): 4719-4734. doi: 10.1109/TSP.2011.2161472.
    XI F, CHEN S, and LIU Z. Quadrature compressive sampling for radar echo signals[C]. Proceedings of the International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, China, 2011: 1-5. doi: 10.1109/ WCSP.2011.6096838.
    XI F, CHEN S, and LIU Z. Quadrature compressive sampling for radar signals[J]. IEEE Transactions on Signal Processing, 2014, 62(11): 2787-2802. doi: 10.1109/TSP.2014.2315168.
    TROPP J A and GILBERT A C. Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE Transactions on Information Theory, 2007, 53(12): 4655-4666. doi: 10.1109/TIT.2007.909108.
    YIN W, OSHER S, GOLDFARB D, et al. Bregman iterative algorithms for L1-minimization with applications to compressed sensing[J]. SIAM Journal on Imaging Sciences, 2008, 1(1): 143-168. doi: 10.1137/070703983.
    WU Q, ZHANG Y D, AMIN M G, et al. Complex multitask Bayesian compressive sensing[C]. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, Italy, 2014: 3375-3379. doi: 10.1109/ICASSP.2014.6854226.
    TROPP J A and WRIGHT S J. Computational methods for sparse solution of linear inverse problems[J]. Proceedings of the IEEE, 2010, 98(6): 948-958. doi: 10.1109/JPROC.2010. 2044010.
    PETROS T B and ASIF M S. Compressive sensing for streaming signals using the streaming greedy pursuit[C]. Proceedings of the Military Communications Conference (MILCOM), San Jose, CA, USA, 2010: 1205-1210. doi: 10.1109/ MILCOM.2010.5680110.
    ASIF M S and ROMBERG J. Sparse recovery of streaming signals using L1 homotopy[J]. IEEE Transactions on Signal Processing, 2014, 62(16): 4209-4223. doi: 10.1109/TSP.2014. 2328981.
    QIN S, ZHANG Y D, WU Q, et al. Large-scale sparse reconstruction through partitioned compressive sensing[C]. Proceedings of the 19th International Conference on Digital Signal Processing, Hong Kong, China, 2014: 837-840. doi: 10.1109/ICDSP.2014.6900784.
    HERMAN M A and STROHMER T. General deviants: an analysis of perturbations in compressed sensing[J]. IEEE Journal of Selected Topics in Signal Processing, 2010, 4(2): 342-349. doi: 10.1109/JSTSP.2009.2039170.
    HERMAN M A and NEEDELL D. Mixed operators in compressed sensing[C]. Proceedings of the 44th Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, USA, 2010: 1-6. doi: 10.1109/CISS. 2010. 5464909.
    DING J, CHEN L, and GU Y. Perturbation analysis of orthogonal matching pursuit[J]. IEEE Transactions on Signal Processing, 2013, 61(2): 398-410. doi: 10.1109/TSP. 2012.2222377.
    VAUGHAN R G, SCOTT N L, and WHITE D R. The theory of bandpass sampling[J]. IEEE Transactions on Signal Processing, 1991, 39(9): 1973-1984. doi: 10.1109/78.134430.
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出版历程
  • 收稿日期:  2015-06-29
  • 修回日期:  2016-02-22
  • 刊出日期:  2016-05-19

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