首页 | 本学科首页   官方微博 | 高级检索  
     

基于DFRFT水下动目标LFM回波检测算法
引用本文:陈鹏,侯朝焕,马晓川,梁亦慧. 基于DFRFT水下动目标LFM回波检测算法[J]. 电声技术, 2006, 0(6): 9-12
作者姓名:陈鹏  侯朝焕  马晓川  梁亦慧
作者单位:1. 中国科学院研究生院,北京,100039;中国科学院声学研究所,北京,100080
2. 中国科学院声学研究所,北京,100080
3. 船舶系统工程部,北京,100036
基金项目:国家高技术研究发展计划(863计划)
摘    要:匹配滤波器作为高斯白噪声背景下线性调频信号的最优检测器,在水下声信号处理中得到了广泛的应用。根据匹配滤波器输出峰值位置可以获得目标距离的估计,但运动目标径向速度造成的回波和样本失配将导致匹配滤波器检测性能下降。利用分数阶傅里叶变换对线性调频信号的聚焦特性,提出了应用离散分数阶傅里叶变换的水下运动目标线性调频回波检测算法。仿真测试表明,该算法对于混响噪声背景下径向速度未知动目标的线性调频回波具有良好的检测性能。

关 键 词:匹配滤波器  线性调频信号  径向速度  分数阶傅里叶变换  离散分数阶傅里叶变换
文章编号:1002-8684(2006)06-0009-04
收稿时间:2006-04-24
修稿时间:2006-04-24

Detection Algorithm for the LFM Echo of Underwater Moving Targets Using the Discrete Fractional Fourier Transform
CHEN Peng,HOU Chao-huan,MA Xiao-chuan,LIANG Yi-hui. Detection Algorithm for the LFM Echo of Underwater Moving Targets Using the Discrete Fractional Fourier Transform[J]. Audio Engineering, 2006, 0(6): 9-12
Authors:CHEN Peng  HOU Chao-huan  MA Xiao-chuan  LIANG Yi-hui
Affiliation:1. Graduate School, Chinese Academy of Sciences, Beijing 100039, China; 2. Institute of Acoustics, Chinese Academy of Sciences, Beijing 100080, China; 3. Systems Engineering Research Institute, Beijing 100036, China
Abstract:As the optimal detector under white Gaussian noise background, the matched filter is widely used in the domain of underwater acoustic signal processing, and the estimation of target range can be achieved according to the peak position of the matched filter's output. But the mismatch between echo and replica caused by moving target's radial velocity will degrade the detecting performance of the matched filter. Using the focusing property of FRFT(Fractional Fourier Transform) for LFM(Linear Frequency-Modulated) signal, the detecting algorithm for the LFM echo of underwater moving targets based on DFRFT(Discrete Fractional Fourier Transform) is proposed. The simulation test shows this algorithm performs well for the LFM echo of moving target with unknown radial velocity under reverberation background.
Keywords:matched filter  LFM  radial velocity  FRFT  DFRFT
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号