Improved PRI-staggered space-time adaptive processing algorithm based on projection approximation subspace tracking subspace technique
Improved PRI-staggered space-time adaptive processing algorithm based on projection approximation subspace tracking subspace technique
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DOI：
10.1049/iet-rsn.2013.0175
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发表时间：
2014-06
影响因子：
1.7
通讯作者：
Xiaopeng Yang;Yongxu Liu;Yuze Sun;T. Long
中科院分区：
文献类型：
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作者：
Xiaopeng Yang;Yongxu Liu;Yuze Sun;T. Long
脉冲重复间隔（PRI）-交错时空自适应处理（STAP）方法由于样本支持量大、计算复杂度巨大，难以实时处理。子空间技术可以利用协方差矩阵的低秩特性来解决上述问题。因此本研究在子空间技术的基础上对传统的PRI交错STAP方法进行了改进。 PRI-staggered STAP方法首先引入特征值分解技术，仅利用主特征向量构建杂波子空间，从而大大降低了样本支持要求。然而，由于固有的计算复杂性，它被证明是不切实际的。为了解决复杂性问题，投影近似子空间跟踪作为一种快速子空间跟踪方法被应用于修改传统的 PRI 交错 STAP 方法。利用投影近似的概念和递归最小二乘处理可以近似杂波子空间，从而可以显着降低样本支持和计算复杂度。通过使用仿真数据和多通道机载雷达测量数据库中的测量机载雷达数据来证明所提出方法的性能。
The pulse repetition interval (PRI)-staggered space–time adaptive processing (STAP) method is difficult to be processed in real time because of the large sample support and the huge computational complexity. The subspace technique can solve the aforementioned problem by exploiting the low rank property of the covariance matrix. Therefore the conventional PRI-staggered STAP method is improved based on the subspace technique in this study. The eigenvalue decomposition technique is firstly introduced into the PRI-staggered STAP method, where only the dominant eigenvectors are applied to construct the clutter subspace so that the sample support requirement is reduced dramatically. However, it turns out to be impractical because of the inherent computational complexity. To deal with the complexity problem, projection approximation subspace tracking as a fast subspace tracking method is applied to modify the conventional PRI-staggered STAP method. The clutter subspace can be approximated by using the concept of projection approximation and the recursive least squares processing, so that both the sample support and computational complexity can be reduced significantly. The performance of the proposed method is demonstrated by using the simulated data and the measured airborne radar data from the multichannel airborne radar measurements database.