机载雷达空时自适应处理的实时实现
Real-Time Implementation of Airborne Radar Space-Time Adaptive Processing
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摘要: 多通道机载雷达空时自适应 (STAP) 算法运算量巨大,不易实时实现。本文详细分析了部分自适应STAP的3个计算步骤,指出了其内在并行性。针对多片DSP系统提出了一种部分自适应STAP并行算法,给出了该算法的任务划分、执行模型、任务映射策略以及性能评价函数。该算法在不同的计算阶段之间进行数据重映射。通过数据试验证明这种基于多片DSP系统的STAP并行算法具有较高的实时性能。Abstract: The Space-Time Adaptive Processing (STAP) algorithm of multi-channel airborne radar requires very high computing power and hardly implements. In this paper, detail analysis of computation steps of partially adaptive STAP algorithm is presents, which indicates that there is a natural, inherent parallelism in STAP algorithm. A parallel algorithm based on multi-DSP system of partially adaptive STAP is presented. The execution model, task mapping strategy and performance evaluation functions of this algorithm are also illustrated. Data remapping is used between successive computation steps of STAP. The effectiveness of the implementation is demonstrated with experimental results.
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王永良, 彭应宁. 空时自适应信号处理. 北京: 清华大学出版社, 2001. 46-55.[2]Hwang K, Xu Z, Arakawa M. Benchmark evaluation of the IBM SP2 for parallel signal processing[J].IEEE Trans. on Parallel and Distributed Systems.1996, 7(5):522-535[3]Lebak J M, Bojanczyk A W. Design and performance evaluation of a portable parallel library for Space-Time Adaptive Processing[J].IEEE Trans. on Parallel and Distributed Systems.2000, 11(3):287-298[4]Rajan K, Patnik L M. Implementation of STAP algorithms on IBM SP2 and on ADSP 21062 dual digital signal processor systems. Microprocessors and Microsystems, 2003, 5(4):221-227.[5]陈国良. 并行算法的设计与分析. 北京: 高等教育出版社,2002: 2-47. -
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