摘要
研究了球不变随机向量杂波下的距离扩展目标自适应检测问题,推导了级联二进制积累检测器(CBI)的最优参数;利用辅助数据,基于迭代估计方法获得协方差矩阵结构的近似最大似然估计,设计了具有近似恒虚警率特性的自适应检测器.仿真实验表明,最优CBI在估计目标散射点个数失配情况下具有很好的鲁棒性;随着散射点个数的增加,其在失配情况下的鲁棒性越来越好,且均优于匹配情况下基于目标散射点密度的检测器和不依赖于散射点密度的检测器.
Under the spherically invariant random vector clutter,the adaptive detection of range-spread target is addressed.The parameters of cascaded binary integrator（CBI） are optimized.Moreover,based on secondary data,an adaptive CBI is derived,which is approximately of constant false alarm rate.The experimental results show that,the optimized CBI performs robustly for the mismatch between the estimated number of target scatterers and the actual one.In addition,the robustness is enhanced as the number of target scatterers increases.The optimized CBI in mismatch cases outperforms the scatterer-density-dependent detector in match cases and the non-scatterer-density-dependent detector.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2011年第9期2190-2193,共4页
Acta Electronica Sinica
基金
国家自然科学基金(No.61032001)
海军航空工程学院青年科研基金(No.HYQN201013)
关键词
非高斯杂波
距离扩展目标
自适应检测
最优参数
鲁棒性分析
non-Gaussian clutter
range-spread target
adaptive detection
optimized parameters
robustness evaluation
