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一种雷达信号的单样本压缩采样方法 被引量:3

A Single Sample Compressive Sampling Method for Radar Signals
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摘要 本文提出了一种雷达信号的单样本压缩采样方法。该方法在多相随机子采样FFT的模拟信息转换器(Analog-to-Information Converter,AIC)方案的基础上进行了改进,利用了雷达信号多个连续脉冲相关性较强的特点,提出了一种单样本压缩采样AIC,单个脉冲通过该AIC压缩得到单个样本值,对稀疏信号进行压缩采样。此方法降低了硬件电路复杂度,提高了压缩率,能够实现对雷达目标的位置和速度等参数的准确估计。仿真实验证明了单样本压缩采样方法的有效性。 This paper presents a single sample compressive sampling method for radar signals. This method is improved on the basis of the Analog to Information Converter (AIC) scheme of multi-phase random sub-sampling FFT. Taking advantage of the strong correlation of multiple continuous pulses of radar signal, a single sample compression sampling AIC is proposed. A single pulse can obtain a single sample value to realize the compressed sampling of sparse signals. This method reduces the complexity of the hardware circuit, improves the compression ratio, and achieves accurate estimation of parameters such as the position and velocity of the target. Simulation experiments verify the effectiveness of this method.
作者 梁胜浴 黄建军 黄敬雄 刘显 Liang Shengyu;Huang Jianjun;Huang Jingxiong;Liu Xian(College of Information Engineering,Shenzhen University,Shenzhen,Guangdong 518060, China;Army Academy of Artillery and Air Defense,Zhengzhou,Henan 450052, China)
出处 《信号处理》 CSCD 北大核心 2019年第6期1011-1017,共7页 Journal of Signal Processing
基金 国家科技支撑计划(2011BAH24B12) 广东省科技计划项目(2016B090918084) 深圳市科技计划项目(JCYJ20170302150111535)
关键词 AIC 单样本 压缩采样 目标检测 AIC single sample compressive sampling target detection
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  • 1初仁辛,孙圣和.非均匀采样信号理论及其发展[J].电子科技导报,1997(7):2-4. 被引量:7
  • 2Candes E J. Compressive sampling[ C]// Proceedings of the International Congress of Mathematicians. Madrid, Spain : [ s. n. ] , 2006 : 1433-1452.
  • 3Candes E J, Romberg J, Tao T. Robust uncertainty prin- ciples: exact signal reconstruction from highly incomplete frequency information [ J ]. IEEE Transactions on Signal Processing, 2004, 52 (2) :489-509.
  • 4Donoho D L. Compressed Sensing[ J]. IEEE Transactions on Signal Processing,2006,52(4) :1289-1306.
  • 5Meng Y, Gong Z. Compressive sensing based parameter estimation for monostatic MIMO noise radar[ J]. Progress in Electromagnetic Research Letters, 2012, 30 : 133-143.
  • 6Donoho D L, Huo X. Uncertainty Principles and ideal a- tomic decompositions[ J]. IEEE Transactions on Informa- tion Theory, 2001, 47 (7) :2845-2862.
  • 7Tropp J A, Wakin M B, Duarte M F. Random filters for compressive sampling and reconstruction [ C ] // Proc. Of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2006:872-875.
  • 8Kirolos S, Laska J, Wakin M, et al. Analog-to-informa- tion conversion via random demodulation [ C ]// Design, Applications, Integration and Software, 2006 IEEE Dal- las/CAS Workshop on. IEEE, 2006: 71-74.
  • 9Smith G E, Diethe T. Compressed sampling for pulse Doppler radar [ C ]// Proc. of the IEEE Radar Conference, 2010: 887- 892.
  • 10Abaft O, Lira F, Chen F, et al. Why analog-to-informa- tion converters suffer in high-bandwidth sparse signal ap- plication[J].IEEE Trans. on Circuits and Systems I: Regular Papers, 2013, 60(9): 2273-2248.

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