综合二重最小二乘被动定位算法

孟桥; 陆佶人

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综合二重最小二乘被动定位算法

更新时间：2025-12-08

- 综合二重最小二乘被动定位算法
- A Multiple Point Passive Localization Algorithm Based on Double Least Mean Sqaure Method
- 电子学报 1997年第5期
- 作者机构：
  
  东南大学无线电工程系
- 作者简介：
- 基金信息：
  
  国家自然科学基金(61701067;61702065)
- DOI：
  中图分类号： TN95
- 纸质出版：1997
- 稿件说明：
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[1]孟桥,陆佶人.综合二重最小二乘被动定位算法[J].电子学报,1997(05):106-109.

孟桥, 陆佶人. A Multiple Point Passive Localization Algorithm Based on Double Least Mean Sqaure Method[J]. Acta Electronica Sinica, 1997, (5).
[1]孟桥,陆佶人.综合二重最小二乘被动定位算法[J].电子学报,1997(05):106-109. DOI：

孟桥, 陆佶人. A Multiple Point Passive Localization Algorithm Based on Double Least Mean Sqaure Method[J]. Acta Electronica Sinica, 1997, (5). DOI：

摘要

本文介绍了一种被动定位算法．它利用二重最小二乘法的基本原理，用较短时间内的多次测量结果进行综合测量计算，提高定位计算的精度．文中给出了四种相应的定位公式，并通过计算机模拟比较了它们的性能．这种定位方法适应性强，很有实用价值．

Abstract

A kind of effective passive location algorithm

which uses multiple group time delay data obtained in a short period of time

is proposed in this paper. It uses sphere interpolationmethod to calculate the position of the target. Four kinds of formula are given here along with theircomputer simulation results. They have no limitation for the number and position of the sensor ofthe array

and the corresponding calculation is simple. Furthermore

the calculationg time of thebest formula is proportional to the number of the groups of time delay

which is less than othermethod. Finally

this method can also be used to reduce the calculating time of other passive location methods when the array consists of many sensors.

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