基于信号包络分析的并行微弱信号检测算法  

Parallel weak signal detection algorithm based on envelope analysis

作　　者：刘磊[1] 范铁生[1] 王银斌[1] 李智慧[1] 唐春鸽[1] 

机构地区：[1]辽宁大学信息学院,沈阳110036

出　　处：《计算机应用》2012年第8期2133-2136,共4页journal of Computer Applications

摘　　要：针对目前微弱信号检测主要利用相关运算检测已知参数的周期信号是否存在,算法复杂、通用性不强的问题,从数学形态学的角度出发,提出一种基于信号包络分析的并行微弱信号检测算法,通过局部运算性能良好的凸点筛选,逐级提取信号的包络,最终的高级包络收敛于多个信号的峰值位置。算法不需要被检测信号的先验知识,对高斯噪声有很好的抑制作用。在信噪比为-10 dB的仿真实验中,算法依然保持较好的检测效果;实测数据显示,算法具有较好的微弱信号检测性能。The most commonly used technology in weak signal detection is using correlation operations to detect whether a known periodic signal exists; however, it is always very complicated and cannot be applied widely. To solve this problem, an envelope analysis based algorithm was proposed from the perspective of mathematical morphology. In this algorithm, salient points were selected from low level envelope to form a higher level envelope of the signal, and finally it converged at the peak position of every target signal in parallel. No priori knowledge about the target signal was needed here and it was also less sensitive of white Gaussian noise. This algorithm is effective in the simulation with signal-to-noise ratio of - 10 dB, and the measured data demonstrate that it is good at detecting weak signal.

关 键 词：微弱信号检测 欠采样与过采样 凸点检测 包络分析 并行运算 

分 类 号：TN911.23[电子电信—通信与信息系统]