基于DSP的SMI方法快速实现研究
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国家自然科学基金重点资助项目(60736009)


Research on Fast Implementation of SMI Method Based on DSP
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    摘要:

    空时自适应处理(STAP) 权值计算有数据域和均方域两种方法,分别以QR分解和样本协方差矩阵求逆(SMI)方法为代表。QR分解方法可以映射到脉动阵上并行实现,但实现复杂且设计成本较高;SMI方法实现则相对简单,但需要对样本协方差矩阵直接求逆。首先考察了不同矩阵求逆方法的内在并行性,基于DSP支持的片内并行技术,提出并实现了SMI方法的单DSP分块并行处理,进一步给出了数值稳定性分析和改善方法,实验结果证明了方法的有效性。

    Abstract:

    Two methods are used to compute the STAP weights in application, named as data domain algorithm and mean square domain algorithm, which are represented by QR decomposition algorithm and sample matrix inversion (SMI) algorithm respectively. In comparison, SMI algorithm can be realized simply with sample covariance matrix inversion, QR decomposition algorithm can be mapped onto systolic array with a high design cost. The inner parallelism of different algorithms of matrix inversion is reviewed firstly, the implementation of SMI method based on single DSP is proposed based on the on-chip parallel technique, the numerical stability of the proposed method is also given, and experiments with the data measured verify the validity of the proposed method.

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任磊,王永良,陈辉,等.基于DSP的SMI方法快速实现研究[J].国防科技大学学报,2009,31(3):53-59.
REN Lei, WANG Yongliang, CHEN Hui, et al. Research on Fast Implementation of SMI Method Based on DSP[J]. Journal of National University of Defense Technology,2009,31(3):53-59.

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  • 收稿日期:2008-12-08
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  • 在线发布日期: 2012-11-08
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