非均匀杂波环境下基于稀疏恢复的空时自适应处理

项目名称： 非均匀杂波环境下基于稀疏恢复的空时自适应处理

项目编号： No.61201334

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 电子学与信息系统

项目作者： 聂镭

作者单位： 中国人民解放军国防科学技术大学

项目金额： 23万元

中文摘要： 本项目旨在充分利用杂波谱的稀疏特性，研究几种典型非均匀杂波环境下的空时自适应处理(STAP)，实现机载/星载体制下雷达的动目标检测。定量分析杂波谱在角度-多普勒域的稀疏机理以及其稀疏恢复能力对STAP性能影响，为该思路展开提供了前提条件。建立几种典型非均匀现象的数学描述，对典型非均匀现象下相邻距离单元杂波谱呈现出的与待检测单元杂波谱的差异进行补偿或检测或估计，设计多观测距离单元下的稀疏恢复STAP算法和快速稀疏恢复STAP算法。该思路能充分利用稀疏恢复带来的快速收敛特性和高分辨性能，提高非均匀杂波环境下运动平台的动目标检测性能。

中文关键词： 非均匀杂波；空时自适应处理；稀疏恢复；多观测矢量；

英文摘要： In this project, we focus on the space-time adaptive processing (STAP) algorithms design in several typical non-homogeneous clutter environments by exploiting the sparsity of the clutter spectrum, which is used for moving target detection in the airborne/spaceborne radar systems. First, we analyze the sparsity principle of the clutter spectrum in the angle-Doppler domain and the impact of the signal recovering level to the STAP performance in quality, which can provide preconditions for the following research. Then, after describing the typical non-homogeneous phenomena in mathematics, we try to design the multiple range-bin sparse recovery STAP algorithms and fast sparse recovery STAP algorithms by compensating, detecting or estimating the differences between the clutter spectrum from the detection range-bin and the spectrum from neighbor range-bins. Taking advantage of the fast convergence and the high resolution of the sparse recovery technique, the proposed approach can improve the moving target detection performance on the moving platform in the non-homogeneous clutter environments.

英文关键词： Non-Homogeneous Clutter；Space-Time Adaptive Processing；Sparse-Recovery；Multiple Measurement Vectors；