基于Rough测度的弱信号空间极化特征快速拾取方法  

A Method of Fast Capturing Polarization Characteristics of Weak Signal Space Based on Rough Measure

作　　者：夏东海[1] 王殊[1] 朱明[1] 汤辉[1] 

机构地区：[1]华中科技大学电信系,武汉430074

出　　处：《信号处理》2008年第6期999-1003,共5页Journal of Signal Processing

基　　金：国家自然科学基金项目(60472015)

摘　　要：开展非电磁波的微弱信号处理研究,对于实际环境下的信号监测与探测具有很强的现实意义和应用前景,也面临着许多挑战。本文以微弱气体信号的早期快速探测作为研究背景,在分析了微弱信号早期探测的不确定性的基础上,运用粗糙集的数学方法,提出了基于Rough测度的信号处理方法,以快速拾取弱信号空间的极化特征,并以一维中尺度空间的信号源方位探测为实例,给出了基于Rough测度的快速拾取弱信号空间极化特征的具体算法,通过该算法计算,可以从初始无序的采样信号空间中找到具有趋势性的信号空间极化特征,从而实现信号方位快速识别与跟踪,其仿真结果表明该方法具有良好的稳健性、准确性和容错性。It is an exciting exploration to research on non-electromagnetic weak signal for signal monitoring and detection in nature with many possible challenges. For fast achieving the weak gas signal detection in nonage, and realizing the goals of gas monitoring in real time, a method of signal processing based on rough measure for fast capturing polarization characteristics of weak signal space using the theory of rough set mathematically is presented in the paper,after analyzing uncertainty of weak signal detection. The algorithm based on rough measure for detecting the direction of the gas signal source in one dimension of middle scale space is discussed, and the polarization characteristics such as trend characteristics of signal space are acquired from disorder signal space constructed by sampling signals via the algorithm computing. Then the simulation of algorithm is given in order to show the proposed approach having fine robustness, accuracy and fault-tolerance for fast tracking the direction of signal source.

关 键 词：弱信号空间 极化特征 Rough测度 快速拾取 

分 类 号：TN911.23[电子电信—通信与信息系统] TP18[电子电信—信息与通信工程]