Reduced-Rank STAP Schemes for Airborne Radar Based on Switched Joint Interpolation, Decimation and Filtering Algorithm
Reduced-Rank STAP Schemes for Airborne Radar Based on Switched Joint Interpolation, Decimation and Filtering Algorithm
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DOI：
10.1109/tsp.2010.2048212
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发表时间：
2010-08
影响因子：
5.4
通讯作者：
Rui Fa;R. D. Lamare;Lei Wang
中科院分区：
文献类型：
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作者：
Rui Fa;R. D. Lamare;Lei Wang
在本文中，我们提出了一种降秩空时自适应处理（STAP）技术的机载相控阵雷达的应用。提出的STAP方法通过使用降秩切换联合插值、抽取和滤波算法（RR-SJIDF）进行降维。在该方案中，多处理分支（MPB）框架，其中包含一组联合优化的插值，抽取和滤波单元，提出了自适应处理的观察和抑制干扰和杂波。根据最小方差准则将输出切换到具有最佳性能的分支。为了设计抽取单元，我们提出了一种最佳抽取方案和一种低复杂度抽取方案。我们还开发了两个自适应实现所提出的计划，一个基于递归最小二乘（RLS）算法和约束共轭梯度（CCG）算法的其他。提出的自适应算法进行了测试与模拟雷达数据。仿真结果表明，所提出的RR-SJIDF STAP计划与RLS和CCG算法收敛速度非常快，并提供了一个相当大的改善比国家的最先进的降秩计划。
In this paper, we propose a reduced-rank space-time adaptive processing (STAP) technique for airborne phased array radar applications. The proposed STAP method performs dimensionality reduction by using a reduced-rank switched joint interpolation, decimation and filtering algorithm (RR-SJIDF). In this scheme, a multiple-processing-branch (MPB) framework, which contains a set of jointly optimized interpolation, decimation and filtering units, is proposed to adaptively process the observations and suppress jammers and clutter. The output is switched to the branch with the best performance according to the minimum variance criterion. In order to design the decimation unit, we present an optimal decimation scheme and a low-complexity decimation scheme. We also develop two adaptive implementations for the proposed scheme, one based on a recursive least squares (RLS) algorithm and the other on a constrained conjugate gradient (CCG) algorithm. The proposed adaptive algorithms are tested with simulated radar data. The simulation results show that the proposed RR-SJIDF STAP schemes with both the RLS and the CCG algorithms converge at a very fast speed and provide a considerable SINR improvement over the state-of-the-art reduced-rank schemes.