摘要
分布式小卫星SAR系统回波仿真的计算量和存储量巨大,本文分析了回波仿真及其快速算法,提出了基于仿真时间分解和基于场景分解的两种并行任务分解方法;性能分析表明,前者能够显著提高算法的加速效率,后者在处理大尺寸场景时能有效克服内存不足的问题。最后,一组小型集群系统环境下的仿真实验数据证实了两种方法的可行性和有效性。
Based on problem of the large requirement of computation and memory, this paper analyzes raw signal simulation and corresponding fast algorithms for distributed small satellite SAR system, proposes two parallel task decomposition methods which are based on simulation time and simulation scene respectively. Performance analysis shows that the time based method can enhance effi- ciency of algorithms, and the scene based method can solve the problem of lacking memory. Simulation result proves the availability of these two methods.
出处
《信号处理》
CSCD
北大核心
2006年第3期343-347,共5页
Journal of Signal Processing
关键词
分布式小卫星SAR
回波仿真
集群
并行
Distributed small satellites SAR
radar raw signal simulation
cluster
parallel
