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Volume 33 Issue 2
Mar.  2011
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He Ya-Peng, Wang Ke-Rang, Zhang Jin-Dong, Zhu Xiao-Hua. Compressive Sensing Based Pseudo-random Multi-phase CW Radar[J]. Journal of Electronics & Information Technology, 2011, 33(2): 418-423. doi: 10.3724/SP.J.1146.2010.00380
Citation: He Ya-Peng, Wang Ke-Rang, Zhang Jin-Dong, Zhu Xiao-Hua. Compressive Sensing Based Pseudo-random Multi-phase CW Radar[J]. Journal of Electronics & Information Technology, 2011, 33(2): 418-423. doi: 10.3724/SP.J.1146.2010.00380

Compressive Sensing Based Pseudo-random Multi-phase CW Radar

doi: 10.3724/SP.J.1146.2010.00380 cstr: 32379.14.SP.J.1146.2010.00380
  • Received Date: 2010-04-16
  • Rev Recd Date: 2010-07-02
  • Publish Date: 2011-02-19
  • A novel pseudo-random multi-phase code Continuous Wave (CW) radar using Compressive Sensing (CS) is presented considering the sparse of radar target space. This paper establishes targets information sensing model. Compressive sensing is employed to sample targets echo under Nyquist sampling rate. Then the information of target scene is effectively extracted from a few sampling data in the presence of noise. To improve the effectiveness of targets information extraction, the waveform is optimized using Simulated Annealing (SA) algorithm. Simulation results demonstrate the merits of the proposed approach.
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  • Cands 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[2]Cands E J, Romberg J, and Tao T. Stable signal recovery from incomplete and inaccurate measurements [J].Communications on Pure and Applied Mathematics.2006, 59(8):1207-1223[3]Cands E J. Compressive sampling[C]. International Congress of Mathematicians, Madrid, Spain, 2006, 3: 1433-1452.[4]Donoho D L. Compressed sensing [J].IEEE Transactions on Information Theory.2006, 52(4):1289-1306[5]Cands E J and Wakin M B. An introduction to compressive sampling [J].IEEE Signal Processing Magazine.2008, 25(2):21-30[6]Romberg J. Imaging via compressive sampling [J]. IEEE Signal Processing Magazine, 2008, 25(2): 14-20.[7]Paredes J L, Arcw G R, and Wang Z M. Ultra-wideband[8]compressed sensing: channel estimation [J]. IEEE Journal of Selected Topics in Signal Processing, 2007, 1(3): 383-395.[9]Mishali M, Eldar Y C, and Tropp J A. Efficient sampling of sparse wideband analog signals [C]. IEEE 25th Convention of Electrical and Electronics Engineers, Israel, Dec 3-5, 2008: 290-294.Skolnik M I. Radar Handbook[M]. 3rd ed, New York: McGraw-Hill, 2008: 382-425.[10]Baraniuk R and Steeghs P. Compressive radar imaging [C]. 2007 IEEE International Radar Conference, Boston, Massachusetts, USA, April 17-20, 2007: 128-133.[11]Herman M A and Strohmer T. Compressed sensing radar[C]. IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, Nevada, USA, March 30-April 4, 2008: 2617-2620.[12]Tello M, Lopez-Dekker P, and Mallorqui J J. A novel strategy for radar imaging based on compressive sensing [C]. IEEE International Conference on Geoscience and Remote Sensing Symposium, Boston, Massachusetts, USA, July 6-11, 2008: 213-216.[13]Herman M A and Strohmer T. High-resolution radar via compressed sensing [J].IEEE Transactions on Signal Processing.2009, 57(6):2275-2284[14]Levanon N and Mozeson E. Radar Signals [M]. New York: John Wiley Sons, 2004: 297-301.[15]Cands E J and Tao T. The Dantzig selector: Statistical estimation when p is much larger than n [J].Annals of Statistics.2007, 35(6):2313-2351[16]Tropp J A. Greed is good: Algorithmic results for sparse approximation [J].IEEE Transactions on Information Theory.2004, 50(10):2231-2242[17]Deng H. Synthesis of binary sequences with good autocorrelation and crosscorrelation properties by simulated annealing [J].IEEE Transactions on Aerospace and Electronic Systems.1996, 32(1):98-107
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