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一种用于空时自适应处理的并行计算模型 被引量：3

A Parallel Computation Model for Space-Time Adaptive Processing
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摘要 在分析各种空时自适应处理(STAP)算法特点的基础上,提出了一种用于STAP的并行计算模型.进而深入分析了STAP系统的实时特性,分析发现,要减少系统延时,一是必须尽量减少计算或者通信时间,二是充分利用前批数据的计算结果和相关先验知识;而要增大吞吐率,一是增加处理器流水线条数,二是避免出现瓶颈阶段.基于该模型,已成功开发了多种实际系统. The characteristic of space-time adaptive processing （STAP） algorithms is analyzed, and a parallel computation model for STAP is proposed. Then the real time performance is analyzed and some ways to increase the real time performance are found. The effective ways to reduce latency are reducing the latency of different phase independently or using the output of previous pipeline. And the ways to increase throughput are adding more pipeline or avoiding the bottleneck phase. Based on the model, several kinds of STAP systems have been developed.
作者 邵银波 王永良 李强 陈辉 肖奚安
机构地区 解放军理工大学通信工程学院 空军雷达学院雷达兵器运用工程全军重点实验室
出处 《电子学报》 EI CAS CSCD 北大核心 2006年第3期450-453,共4页 Acta Electronica Sinica
基金 全国高等学校优秀青年教师教学科研奖励计划(TRAPOYT) 国家自然科学基金(No.60272086)
关键词 空时自适应处理(STAP) 并行计算模型 并行处理 space-time adaptive processing （STAP） parallel computation model parallel processing
分类号 TP302 [自动化与计算机技术—计算机系统结构]
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参考文献9

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同被引文献32

  • 1保铮,廖桂生,吴仁彪,张玉洪,王永良.相控阵机载雷达杂波抑制的时-空二维自适应滤波[J].电子学报,1993,21(9):1-7. 被引量：92
  • 2范西昆,王永良,陈辉.机载雷达空时自适应处理的实时实现[J].电子与信息学报,2006,28(12):2224-2227. 被引量：4
  • 3王希敏,蔡志明.水声信息系统仿真软件构架模型[J].兵工学报,2007,28(4):471-476. 被引量：4
  • 4West J M, Antonio J K. A genetic algorithm approach to sched- uling communications for embedded parallel space-time adaptive processing algorithms[J].Journal of Parallel and Distributed Computing ,2002,62(9) : 1386 - 1406.
  • 5Shinjiro K, Yosinori W. Functional model exploration for multi media application via algebraic operators [C]// Proc. of the IEEE the Sixth International Conference on Application of Concurrency to System Design , 2006,24 : 229 - 238.
  • 6Silvia M, Figueira. Optimal partitioning of nodes to space-sharing parallel tasks[J]. Parallel Computing ,2006,32(4) :313 - 324.
  • 7Negro F T, Ortega J, Rose E, et al. PSFGA: parallel processing and evolutionary computation for multi-objective optimization[J]. Parallel Computing ,2004,30(5) :721 - 739.
  • 8Yen G G, Lu H. Dynamic multi-objective evolutionary algorithm: adaptive cell-based rank and density estimation[J]. IEEE Trans. on Evolutionary Computation ,2003,7(3) :253 - 274.
  • 9Liu D, Tan K C, Goh C K. A multi-objective meme tic algorithm based on particle swarm optimization[J]. IEEE Trans. on Systems, Man and Cybernetics, Part B ,2007,37(1) :42 - 50.
  • 10Myungho L, Prasanna V K. High throughput rate parallel algo rithms for space time adaptive processing[C]//Proc, of the 2nd IEEE International Workshop on Embedded Systems and Application, 1997 : 1 - 13.

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电子学报
2006年 第3期

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