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机动目标被动声定位仿真研究
引用本文:李杰,李喆,陈文聪.机动目标被动声定位仿真研究[J].北京理工大学学报,2004,24(6):549-551.
作者姓名:李杰  李喆  陈文聪
作者单位:北京理工大学,机电工程学院,北京,100081
摘    要:针对基于时延估计的空中机动目标定位与跟踪的算法仿真问题,提出一种以时变时延信号产生算法为基础的仿真方法.该算法利用FIR滤波器线性相位特性,使模拟的目标信号通过时变FIR滤波器产生相对输入信号有时变时延的输出信号.在考虑了目标的机动、干扰信号、环境噪声以及信噪比后构造出模拟的阵列接收信号,通过定位算法得到目标方位.仿真表明该方法能较好地完成对基于时延估计的被动声定位算法的评估,并具有广泛的适用性和实用性.

关 键 词:被动声定位  FIR滤波器  时延估计  时变时延  机动目标  被动声定位  仿真研究  Moving  Targets  Acoustic  Localization  Passive  适用性和实用性  评估  方法  目标方位  定位算法  接收信号  阵列  构造  信噪比  环境噪声  干扰信号  输出信号  输入信号  时变
文章编号:1001-0645(2004)06-0549-04
收稿时间:2003/8/18 0:00:00

Simulation of Passive Acoustic Localization of Moving Targets
LI Jie,LI Zhe and CHEN Wen-cong.Simulation of Passive Acoustic Localization of Moving Targets[J].Journal of Beijing Institute of Technology(Natural Science Edition),2004,24(6):549-551.
Authors:LI Jie  LI Zhe and CHEN Wen-cong
Institution:School of Mechatronics Engineering, Beijing Institute of Technology, Beijing100081, China;School of Mechatronics Engineering, Beijing Institute of Technology, Beijing100081, China;School of Mechatronics Engineering, Beijing Institute of Technology, Beijing100081, China
Abstract:Aiming at a simulation of algorithms for moving target localization and tracking by time delay estimation, a new simulation method based on an algorithm to generate time-varying time delay signals is put forward. This algorithm uses the linear phase of a FIR filter. After the suppositional target signal passes a time-varying FIR filter, an output signal that has time-varying time delay relative to the original signal is generated. Based on this process, and considering the target's moving pattern, disturbing signal, surrounding noise and the signal noise ratio, the suppositional signals received by the acoustic sensor array can be generated. Then the localization algorithm gets the targets position through them. Simulation showed that the method can evaluate the capability of localization algorithms suitably and that it has wide applicability and practicability.
Keywords:passive acoustic localization  FIR filter  time delay estimation  time-varying time delay
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