基于压缩感知的认知雷达高分辨成像  

High-resolution Imaging of Cognitive Radar Based on Compressive Sensing

作　　者：孙凤莲[1] 张群[1] 罗迎[1] 顾福飞[1] 朱丰[1] 

机构地区：[1]空军工程大学信息与导航学院,陕西西安710077

出　　处：《探测与控制学报》2012年第5期68-71,76,共5页Journal of Detection & Control

基　　金：国家自然科学基金项目资助(61172169;60971100);广西无线宽带通信与信号处理重点实验室2011年度开放基金项目资助(21102)

摘　　要：传统成像雷达由于发射信号没有利用目标环境信息,难以根据目标成像环境进行合理的雷达波形设计。针对这一情况,结合认知雷达的闭环反馈回路,提出了一种基于压缩感知的认知雷达高分辨成像方法。该方法通过对目标相邻距离像相关系数的计算,自适应地调整对目标径向稀疏度的估计值,并进一步调整后续雷达发射稀疏信号波形。仿真结果表明:该方法能够充分利用目标环境信息,以合理的雷达稀疏信号波形和较短的运算时间实现对目标二维像的有效重构。The traditional imaging radar transmitting signal with no target environment information, so it＇s diffi- cult to obtain reasonable radar waveform design based on the imaging environment. In response to this situation, a high resolution imaging method combined with the closed-feedback loop of cognitive radar based on compressed sensing was proposed. By calculating the correlation coefficient of the neighbor target profile, a the estimated val- ue of the target＇s radial sparsity was adaptively adjusted, and further adjustments was made to the subsequent sparse signal waveforming of the radar transmitter. This method made full use of the target environment infor- mation, and achieved the goal of a two dimensional image reconstructed with reasonable radar sparse waveforms and short computing time.

关 键 词：雷达成像 认知雷达 压缩感知 稀疏信号 

分 类 号：TN958[电子电信—信号与信息处理]