機(jī)載雷達(dá)空時(shí)自適應(yīng)處理的實(shí)時(shí)實(shí)現(xiàn)
Real-Time Implementation of Airborne Radar Space-Time Adaptive Processing
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摘要: 多通道機(jī)載雷達(dá)空時(shí)自適應(yīng) (STAP) 算法運(yùn)算量巨大，不易實(shí)時(shí)實(shí)現(xiàn)。本文詳細(xì)分析了部分自適應(yīng)STAP的3個(gè)計(jì)算步驟，指出了其內(nèi)在并行性。針對(duì)多片DSP系統(tǒng)提出了一種部分自適應(yīng)STAP并行算法，給出了該算法的任務(wù)劃分、執(zhí)行模型、任務(wù)映射策略以及性能評(píng)價(jià)函數(shù)。該算法在不同的計(jì)算階段之間進(jìn)行數(shù)據(jù)重映射。通過(guò)數(shù)據(jù)試驗(yàn)證明這種基于多片DSP系統(tǒng)的STAP并行算法具有較高的實(shí)時(shí)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, 彭應(yīng)寧. 空時(shí)自適應(yīng)信號(hào)處理. 北京: 清華大學(xué)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]陳國(guó)良. 并行算法的設(shè)計(jì)與分析. 北京: 高等教育出版社，2002: 2-47. -
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