基于CS的脉冲压缩雷达单快拍DOA估计

在脉冲压缩雷达系统中估计目标波达方向（direction of arrival, DOA）的主要问题之一是：脉压前信号的信噪比低、目标没有在距离域分开；脉压后的信号虽然信噪比得到了改善且目标已按距离分开，但是快拍数却非常有限。为了解决这一矛盾，提出了基于压缩感知的单快拍DOA(single-snap DOA, SSDOA)估计方法。与传统DOA方法相比，该方法具有更高的估计精度和分辨能力，并且能处理相干信号，且无需已知目标数目。仿真表明,本文提出的SSDOA算法在估计精度上和分辨能力上都优于多重信号分类（multiple signal classification, MUSIC）算法，并为雷达系波达方向估计； 压缩感知； 单快拍处理； 脉冲压缩雷达统的实时分析提供了保障。

Single-snap DOA estimation based on compressed sensing in #br# pulse compression radar system

There are two problems for direction of arrival (DOA) estimation in a pulse compression radar system. First, before pulse compression， the signal is of lower SNR and the targets cannot be separated in the range domain. Second, after pulse compression, although the targets have been separated by distance and the SNR has been greatly improved, only limited snapshots can be utilized. In order to solve these problems, single-snapshot DOA (SSDOA) estimation methods based on compressed sensing are proposed. Compared with traditional DOA methods, the proposed methods provide higher target resolution and estimation accuracy. In addition, they can estimate coherent signals and do not need the number of targets. The simulation results show that the estimation accuracy and resolution of SSDOA are better than the multiple signal classification （MUSIC） methods. Moreover， the single-snap processing provides a guarantee for real time system analysis.