期刊导航

论文摘要

基于混沌的LFM信号检测与参数估计

Detection and Parameters Estimation of LFM Signal Based on Chaos

作者:高仕龙(乐山师范学院 数学与信息科学学院)

Author:Gao Shilong(College of Mathematics and Info. Sci.,Leshan Normal Univ.)

收稿日期:2012-10-10          年卷(期)页码:2013,45(3):98-102

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:信号检测;混沌振子;参数估计

Key words:signal detection;chaotic oscillator;parameter estimation

基金项目:国家自然科学基金支持资助项目(11171238);乐山师范学院重点资助项目(Z1203)

中文摘要

为了实现线性调频(LFM)信号的检测与参数估计,提出一种基于混沌理论的新算法。该算法首先分析了LFM信号参数变化对处于混沌临界态的Duffing振子输出相图的影响,并对待检LFM信号进行解调频处理。利用Duffing混沌振子构造滤波器阵列,以最大Lyapunov指数的符号作为系统状态的判断标准,从而实现了LFM信号的检测和参数估计。数值模拟表明,该算法易于操作,在低信噪比下,能有效检测LFM信号并获得较好的参数估计精度。

英文摘要

A new algorithm for the detection and parameters estimation of linear frequency modulation (LFM) signal was proposed.Firstly,the influence of LFM signal on the phase diagram of the Duffing chaotic oscillator was analyzed,and then the demodulation frequency processing was implemented to transform the LFM signal into periodic signal.At last,Duffing oscillators filter array was constructed to realize the detection and parameters estimation of LFM signal and Lyapunov exponent was exploited to judge the state of the system.The numerical simulation showed that this algorithm operated easily and could effectively detect the weak LFM signal.Moreover,better parameter estimation precision was obtained in the case of low signal-noise-ratio (SNR).

关闭

Copyright © 2020四川大学期刊社 版权所有.

地址:成都市一环路南一段24号

邮编:610065