基于HMM和FrFT的UWB弱信号检测混合算法研究  

A Hybrid Weak Signal Detector in UWB with HMM and FrFT

作　　者：李凤兰[1] 江云[1] 苏理云[2] 李姣军[3] 

机构地区：[1]重庆理工大学图书馆,重庆400054 [2]重庆理工大学数学与统计学院,重庆400054 [3]重庆理工大学电子信息与自动化学院,重庆400054

出　　处：《中国科技纵横》2013年第9期31-32,34,共3页China Science & Technology Overview

基　　金：致谢:感谢重庆市科委自然科学基金，重庆市教委项目(KJ120829)的资助。

摘　　要：近几年来，在长距离超宽带（17wB）无线通信方面受到了高度重视，但由于传输距离变长后，出现一些难以克服的困难。现在2000m以上的长距离超宽带无线通信系统称为了超宽带通信中的热点和难点。本文系统地构建检测色噪声下超宽带微弱信号的方案。用多线性调频信号作为超宽带无线通信的导频信号，并假定通信过程中收到色噪声的干扰，首先对其进行多尺度离散小波（包）变换，将每个尺度的接收信号用隐马尔可夫模型（HMM）进行描述，并结合分数阶傅立叶变换（FrFT）处理多分量线调频信号的思想和原理，从而实现色噪声干扰下的时间频率双弥散超宽带弱接收信号的检测与参数估计。In recent years,for the long range communications,ultra wideband（UWB）wireless communication has attracted a lot of attention.If the transmission distance is very long, some insurmountable difficulties will be in research. Now the long distance of more than 2000m UWt3 wireless communication system is being in focus and ditficulty in ultra-wideband communications.This paper systematically constructed detection in colored noise of ultra-wideband signal.Using the linear FM signal as a pilot signal for UWB wireless communication,and assume that the interference contaminated received color noise in the communication process.Firstly,multi-scale discrete wavelet transform （package）is applied.Then,the received signal in each scale is described by a hidden Markov model （HMM）,artd combined thought and principle of treatment of multi-component LFM signal with the Fractional Fourier transform （FrFT）.Finally,the time fi：equency colored noise interference detection and parameter estimation can be obtained based on ultra wideband weak received signal.

关 键 词：超宽带(UWB) 隐马尔可夫模型(HMM) 分数阶傅立叶变换(FrFT) 弱信号检测 

分 类 号：TN911.23[电子电信—通信与信息系统]