电子学报 ›› 2014, Vol. 42 ›› Issue (3): 469-476.DOI: 10.3969/j.iss.0372-2012-2014.03.008

• 学术论文 • 上一篇    下一篇

噪声干扰背景下压缩感知雷达波形优化设计

贺亚鹏1,2, 朱晓华1, 李洪涛1, 顾陈1   

  1. 1. 南京理工大学电子工程与光电技术学院,江苏南京 210094;
    2. 中国空间技术研究院西安分院, 陕西西安 710000
  • 收稿日期:2012-03-15 修回日期:2013-02-18 出版日期:2014-03-25 发布日期:2014-03-25
  • 作者简介:贺亚鹏 男,1984年出生于陕西,南京理工大学博士,现就职于中国空间技术研究院西安分院,工程师,研究方向为微波遥感、雷达系统设计与信号处理.E-mail:nhlwkj@foxmail.com
  • 基金资助:

    江苏省科技厅临床医学科技专项——新型临床诊疗技术攻关(No.SBL201230101)

Waveform Design for Compressive Sensing Radar in the Presence of Interference and Noise

HE Ya-peng1,2, ZHU Xiao-hua1, LI Hong-tao1, GU Chen1   

  1. 1. School of Electronic and Optical Engineering, Nanjing University Science and Technology, Nanjing, Jiangsu 210094, China;
    2. China Academy of Space Technology at Xi'an, Xi'an, Shaanxi 710000, China
  • Received:2012-03-15 Revised:2013-02-18 Online:2014-03-25 Published:2014-03-25

摘要: 为改善压缩感知雷达(Compressive Sensing Radar,CSR)在干扰噪声背景下目标检测及距离-多普勒参数的估计性能,该文提出一种感知矩阵平均相干系数(Averaged Coherence of the Sensing Matrix,ACSM)与信干噪比(Signal to Interference and Noise Ratio,SINR)联合优化的波形设计方法.文中首先建立了CSR距离-多普勒二维参数感知模型,推导了波形联合优化设计的目标函数,其次以多相编码信号作为优化码型并采用模拟退火(Simulated Annealing,SA)算法对目标函数进行优化求解.与传统CSR波形相比,优化设计的波形提高了CSR在低信干噪比条件下的成功检测概率,同时有效降低了目标距离-多普勒参数估计误差,由此改善了CSR在干扰噪声背景下的距离-多普勒成像质量.计算机仿真验证了该方法的有效性.

关键词: 压缩感知雷达, 波形设计, 感知矩阵平均相干系数, 信干噪比, 模拟退火

Abstract: Aiming at improving the performance of targets detection and range-Doppler parameters estimation for compressive sensing radar (CSR) amid interference and noise,a CSR joint optimal waveform design method is proposed to minimize the averaged coherence of the sensing matrix (ACSM) and the signal to interference and noise ratio (SINR) simultaneously.First,a CSR two-dimensional sensing model for range-Doppler estimation is established and a waveform joint optimization object function is derived.Then,the simulated annealing (SA) algorithm is employed to obtain the optimal solution,where the poly phase coded signal is taken into account.Compared with the traditional CSR waveforms,the optimized waveform enhances the CSR successful detection probability in the low SINR conditions,and also effectively reduces the target range-Doppler parameter estimation error,thereby improving the CSR range-Doppler imaging quality.Simulation results show the effectiveness of the proposed method.

Key words: compressive sensing radar (CSR), waveform optimization, averaged coherence of the sensing matrix (ACSM), signal to interference and noise ratio (SINR), simulated snnealing (SA)

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