摘要
针对距离扩展目标的检测问题,提出一种自适应归一化匹配滤波(ANMF)、非线性映射和高阶互相关积累(HOCC)相结合的目标检测方法。首先将距离像按慢时间进行脉冲维划分,得到若干脉冲子区间,再对每个脉冲子区间进行自适应归一化匹配滤波,然后利用非线性函数对滤波的输出进行非线性映射处理,最后将非线性映射的输出进行高阶互相关积累,从而获得检测统计量。仿真实验结果表明,在检测概率为80%时,所述方法比传统ANMF方法所需的信杂比低1dB左右,性能较为优越。
A detector based on adaptive normalized matched filter（ANMF）, nonlinear shrinkage map and high-order cross-correlation（HOCC） for the detection of range-spread target is introduced in this paper. Firstly, the long integration duration is segmented into short subintervals. Secondly, the adaptive normalized matched filter is used along slow-time dimension in each subinterval. Then the nonlinear shrinkage function is defined to refine the output of the adaptive normalized matched filter. Finally, the detection statistic can be obtained by the high-order cross-correlation integration of the output of nonlinear shrinkage processing. The simulation results show that the SNR required by the proposed detector is 1 dB less than the traditional adap- tive normalized matched filter when detection probability is equal to 80%.
出处
《雷达科学与技术》
北大核心
2015年第3期265-268,274,共5页
Radar Science and Technology
关键词
高分辨雷达距离像
自适应归一化匹配滤波
非线性映射
高阶互相关积累
high resolution range profile（HRRP）
adaptive normalized matched filter（ANMF）
nonlinear shrinkage map
high-order cross-correlation（HOCC）
