电子学报Issue(11)：2286-2290,5.DOI:10.3969/j.issn.0372-2112.2014.11.024
基于降维稀疏重构的高效数据域STAP算法研究
An Efficient Data Domain STAP Algorithm Based on Reduced-Dimension Sparse Reconstruction
摘要
Abstract
An efficient direct data domain STAP scheme based on a sparse reconstruction of the primary data is presented to effectively detect ground moving targets .To reduce the computational complexity ,the proposed method obtains the high resolution angle-Doppler spectrum by finding the sparsest coefficients using the reduced-dimension data in element-Doppler domain .There-fore ,based on the distinct image features of clutter and targets signals ,a knowledge-aided moving targets detection algorithm is also introduced .The effectiveness of the proposed approach is shown by both theoretical analysis and simulation results .This scheme is computationally efficient for real-time parallel processing .关键词
空时自适应处理/稀疏重构/杂波抑制Key words
space-time adaptive processing/sparse reconstruction/clutter suppression分类
信息技术与安全科学引用本文复制引用
沈明威,王杰,吴迪,朱岱寅..基于降维稀疏重构的高效数据域STAP算法研究[J].电子学报,2014,(11):2286-2290,5.基金项目
国家自然科学青年基金（No ．61201459，No ．61301212）；江苏省自然科学青年基金（No ．BK2012408）；国防基础科研（No ．B2520110008）；江苏省六大人才高峰（No ．ZBZZ-009）；中央高校科研业务费（No ．2012B6014）；雷达成像与微波光子技术教育部重点实验室基金 （）
