结合统计方法的雷达角度维高分辨方法研究  

Novel Radar Angle High Resolution Method Based on Statistics Technique

作　　者：张良[1] 吴海兵[1] 顾国华[1] ZHANG Liang WU Hai-bing GU Guo-hua(Army Officer Academy, Anhui Hefei 230031 , China)

机构地区：[1]陆军军官学院,安徽合肥230031

出　　处：《现代防御技术》2017年第5期125-130,共6页Modern Defence Technology

基　　金：国防装备预研共用技术基金(9140A05020114JB91064)

摘　　要：分析了经典雷达测角中单通道解卷积抗噪性能差产生的原因,并从信号建模过程分析,将方位维测角过程看作是求解线性方程组问题,提出了一种结合信号统计模型的高分辨测角算法。所提算法结合了目标稀疏先验分布信息,对原模型进行更加完善的建模,相比已有确定性重构技术,能够取得更为稳健的反演效果。仿真实验验证了方法的可行性,尤其是在低信噪比下的适应性。Conventional angle resolution method based on single-channel deconvolution algorithms has a poor performance in low SNR situation. Firstly,the reason for this case is analyzed. Then by analyzing the signal model,the azimuth resolution process can be treated as a problem of solving linear equations. According to it,the novel radar angle high resolution algorithm is put forward based on the model about signal statistics,and this algorithm which combines the distribution information of sparse prior improves the old model. It can achieve more robust inversion effect compared to the deterministic reconstruction technique. The simulation experiment proves the feasibility and adaptability of this algorithm,especially in low SNR situation.

关 键 词：波束锐化 高分辨率测角 统计模型 稀疏先验 确定性重构 低信噪比 

分 类 号：TN958[电子电信—信号与信息处理] TN957.51[电子电信—信息与通信工程]