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一种快速空时自适应抗干扰方法仿真研究

Research on and Simulation of a Rapid Space-time Adaptive Interference Depression Method
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摘要 STAP在GPS抑制干扰中起着重要作用。为解决STAP运算量大的问题,采用LMS算法降低运算量。传统的空时LMS算法是将所有权值进行自适应迭代达到最优权,随着延迟抽头个数的增加,收敛速度明显减慢,实时性变差。为保证LMS算法的实时性,采用每个阵元的对应抽头进行一个自适应迭代过程,在减少运算量的同时,具有更高的实时性。 STAP technology plays a very important role in GPS interferences elimination. The computational burden of STAP increases along with the degrees of freedom in anti-jamming capability. To deal with the problem, LMS arithmetic is proposed. However, the more time-delays, the longer time it takes to converge. To speed up the convergence of LMS, every element corresponding time-delays uses LMS. This method can decrease the computa- tional amount meanwhile getting a higher convergence capability.
出处 《电子科技》 2013年第4期69-70,73,共3页 Electronic Science and Technology
基金 航空科学基金资助项目(20100818022)
关键词 空时自适应处理 最小均方误差 快速收敛 干扰抑制 space-time adaptive processing LMS rapid converge interference depression
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参考文献6

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