Joint estimation of position and velocity of target in multistatic sonar system

CHEN Wei-wei; WANG Xin

doi:10.13873/J.1000-9787(2017)08-0106-05

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Joint estimation of position and velocity of target in multistatic sonar system

更新时间：2025-09-11

- Joint estimation of position and velocity of target in multistatic sonar system
- Vol. 36, Issue 8, Pages: 106-110(2017)
- 作者机构：
  
  江南大学物联网工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2017)08-0106-05
  CLC： TN911.23
- Published：2017
- 稿件说明：
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[1]陈伟伟,王鑫.多基地声纳系统中目标位置与速度联合估计[J].传感器与微系统,2017,36(08):106-110.

CHEN Wei-wei, WANG Xin. Joint estimation of position and velocity of target in multistatic sonar system[J]. 2017, 36(8): 106-110.
[1]陈伟伟,王鑫.多基地声纳系统中目标位置与速度联合估计[J].传感器与微系统,2017,36(08):106-110. DOI： 10.13873/J.1000-9787(2017)08-0106-05.

CHEN Wei-wei, WANG Xin. Joint estimation of position and velocity of target in multistatic sonar system[J]. 2017, 36(8): 106-110. DOI： 10.13873/J.1000-9787(2017)08-0106-05.

摘要

在多基地声呐系统中

为了利用时间和与多普勒频率量测同时估计运动目标的位置与速度

设计了一种闭式的估计器。其中

使用误差修正的方法

改善了传统的多步加权最小二乘估计器。该估计器只涉及线性加权最小二乘运算

在量测高斯噪声较小的情况下

均方误差可以达到克拉美罗下界（CRLB）。通过计算机模拟对比了该估计器的均方误差与CRLB

并比较了其与传统多步加权最小二乘估计器的性能

结果表明:估计器的均方误差小于传统多步加权最小二乘估计器。

Abstract

A closed-form estimator is designed to estimate the positon and velocity of the target jointly with time sum and Doppler frequency measurements in multistatic sonar system. The esimator improves traditional multistage weighted least squares（ WLS） estimator with error correction technique. The estimator involves linear WLS computation only and its mean square errors（ MSE） can attain Cramer-Rao lower bound（ CRLB） when the measurement Gaussian noise is small. Simulations are conducted to compare the MSE of the proposed estimator with the CRLB and compare its performance with that of the traditional multi-stage WLS estimator. The MSE of the proposed estimator is lower than that of the traditional multi-stage WLS estimator.

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references

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