电子学报2011，Vol.39Issue(6)：1389-1393,5.
基于杂波谱稀疏恢复的空时自适应处理
STAP via Sparse Recovery of Clutter Spectrum
摘要
Abstract
Space-time adaptive processing (STAP) is an effective tool for detecting moving target in airborne radar system.However,in actual clutter environment, the performance of conventional STAP algorithms will degrade a lot for lacking sufficient independent identically distributed training samples. By exploiting the intrinsic sparsity of the clutter distribution in the angle-Doppler domain, an algorithm called SR-STAP is proposed to obtain super-resolution space-time spectrum as well as the clutter covariance matrix with much less training samples. The results of both Mountaintop real data and simulations have proved that SR-STAP can obtain fast convergence rate and achieve better clutter suppression performance than conventional method in actual clutter scenario.关键词
空时自适应处理/少量数据样本/稀疏恢复Key words
space-lime adaptve processing/ low sample support/ sparse recovery分类
信息技术与安全科学引用本文复制引用
孙珂,张颢,李刚,孟华东,王希勤..基于杂波谱稀疏恢复的空时自适应处理[J].电子学报,2011,39(6):1389-1393,5.基金项目
国家自然科学基金(No.40901157) （No.40901157）
国家重点基础研究发展规划(973计划)项目(No.2010CB731901) （973计划）
