基于目标高度先验信息的多站时差无源定位方法

秦兆涛; 王俊; 魏少明; 毕严先; 魏子翔

doi:10.11999/JEIT171231

基于目标高度先验信息的多站时差无源定位方法

doi: 10.11999/JEIT171231

1.
北京航空航天大学电子信息工程学院　北京　100191
2.
中国电子科技集团电子科学研究院　北京　100041

基金项目: 国家自然科学基金(61501011, 61501012, 61671035)

详细信息

作者简介:
秦兆涛：男，1989 年生，博士生，研究方向为无源定位、雷达信号处理等

王俊：男，1972 年生，教授，博士生导师，研究方向为雷达信号处理、数字信号实时处理等

魏少明：男，1985 年生，博士，讲师，研究方向为目标跟踪、雷达散射中心提取、目标3维重构等

毕严先：男，1988 年生，博士，工程师，研究方向为雷达目标成像、无源定位、数据融合等

魏子翔：男，1987 年生，博士，研究方向为扩频信号处理、DOA估计、数据融合等

通讯作者:
魏少明　 shaoming.wei@buaa.edu.cn

中图分类号: TN957.51
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- 文章访问数: 2472
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- 被引次数: 0
出版历程
- 收稿日期: 2017-12-26
- 修回日期: 2018-05-15
- 网络出版日期: 2018-07-12
- 刊出日期: 2018-09-01

Passive Localization Using TDOA Measurements from Multiple Sensors Based on Priori Knowledge of Target Altitude

1.
School of Electronics and Information Engineering, Beihang University, Beijing 100191, China
2.
Institute of Electronic Sciences, Chinese Electronics Technology Group Corporation, Beijing 100041, China

Funds: The National Natural Science Foundation of China (61501011, 61501012, 61671035)

摘要

摘要: 该文针对利用多站到达时差观测量的辐射源目标定位问题，已知目标高度先验信息，提出一种基于加权最小二乘的闭式高精度定位方法。近距离场景下，可忽略地球曲率影响，此时目标高度信息可等效为目标的1维坐标。基于该条件，使用一种新的两步加权最小二乘算法实现对目标的定位解算。该算法不需要目标位置初始值估计，无需迭代运算，计算量较小。仿真表明：利用目标高度先验信息可有效提高对目标的定位精度；在观测量噪声为高斯噪声且功率较小时，算法定位性能可达到克拉美罗界。
- 无源定位 /
- 到达时差 /
- 目标高度 /
- 定位精度 /
- 克拉美罗界
Abstract: To solve the problem of radiant target localization using Time Difference Of Arrival (TDOA) measurements from multiple sensors, an algebraic closed-form method based on Weighted Least Squares (WLS) minimizations is proposed, with the priori knowledge of target altitude. In near distance scenario, neglecting the effect of earth curvature, the target altitude can be regarded as one-dimensional coordinate of the target. Based on this condition, the target position is solved by a new two-step WLS algorithm. It does not require initial solution guess, and is computationally attractive due to the non-iterative operation. Simulation results show that the target localization accuracy is greatly improved using target altitude, and the proposed method can reach Cramer-Rao Lower Bound (CRLB) accuracy under small Gaussian measurement noise.
- Passive localization /
- Time Difference Of Arrival (TDOA) /
- Target altitude /
- Localization accuracy /
- Cramer-Rao Lower Bound (CRLB)

HTML全文

图 1 目标定位场景

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图 2 定位站-目标几何构型

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图 3 4定位站配置对近场目标的定位

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图 4 4定位站配置对远场目标的定位

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图 5 6定位站配置对近场目标的定位

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图 6 6定位站配置对远场目标的定位

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表 1 定位站位置坐标

定位站	s1	s2	s3	s4	s5	s6
x(m)	300	300	350	–100	400	200
y(m)	100	500	200	–100	150	–300
z(m)	150	200	100	–100	100	–200

下载: 导出CSV

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