摘要
研究了在对称α稳定分布(Symmetric α-stable,SαS)冲击噪声背景下的基于子空间拟合的多目标DOA估计算法。由于SαS冲击噪声造成传统DOA算法性能下降,提出了基于分数低阶矩统计量的FLOM-SSF/NSF算法和Screened Ratio原理的SR-SSF/NSF算法。计算机仿真表明两种算法都能有效地改善SαS型冲击噪声对DOA估计的影响,有更好的稳健性,其中SR-SSF/NSF算法性能略好于FLOM-SSF/NSF算法。
This paper studies the multi-target directions of arrival （DOA） estimation in impulsive noise modeled as symmetric stable （SαS） distribution. Since the performance of traditional DOA estimation algorithm degrades significantly under Sots noise, we propose two signal/noise subepace fitting （ SSF/NSF ） DOA estimation methods, on the basis of fractional lower order moment （FLOM） and screened ratio principle. Simulation results indicate that the two proposed algorithms can reduce the influence of impulsive noise and have better stability. Moreover, the SR-SSF/NSF algorithm has performance slightly better than FLOM based counterparts.
出处
《现代雷达》
CSCD
北大核心
2009年第11期49-52,共4页
Modern Radar
