A Simple and Efficient Method for Hybrid AOA and DTD Localization With Unknown Transmitter Location

IF 3.2 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Signal Processing Letters Pub Date : 2024-12-23 DOI:10.1109/LSP.2024.3521317
Yanbin Zou;Yangpeng Xiao;Weien Zhang
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Abstract

Recently, joint target and transmitter localization using differential time-delay (DTD) and angle-of-arrival (AOA) measurements has attracted researchers' interest. Due to the fact that three Euclidean norms exist in the DTD equation, the DTD equation is difficult to tackle directly. In this paper, we divide the joint localization problem into three subproblems, respectively, the AOA-only localization problem, the hybrid AOA and time-difference-of-arrival (TDOA) localization problem, and the hybrid AOA and time-delay (TD) localization problem with known transmitter location. Then, a two-stage algorithm is developed. In the first stage, solving the AOA-only localization problem provides initial estimates. In the second stage, alternatively and iteratively solving the problem of hybrid AOA and TDOA localization and the problem of hybrid AOA and TD localization provide the improved solutions. Simulation results validate that the proposed algorithm is superior to the existing constrained weighted least-squares (CWLS) algorithm when AOA noise variance is not sufficiently small. Index Term -Angle-of-arrival (AOA), differential time-delay (DTD), time-delay (TD), time-difference-of-arrival (TDOA), elliptic localization.
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一种简单有效的未知发射机位置的AOA和DTD混合定位方法
近年来,利用差分时延(DTD)和到达角(AOA)测量的联合目标和发射机定位引起了研究人员的兴趣。由于DTD方程中存在三个欧氏范数,使得DTD方程难以直接求解。本文将联合定位问题划分为三个子问题,分别是:仅AOA定位问题、AOA与到达时间差(TDOA)混合定位问题和已知发射机位置的AOA与时延(TD)混合定位问题。然后,提出了一种两阶段算法。在第一阶段,解决仅面向对象的定位问题提供了初始估计。在第二阶段,交替迭代地解决AOA和TDOA混合定位问题以及AOA和TD混合定位问题,提供改进的解决方案。仿真结果表明,该算法在AOA噪声方差不够小的情况下优于现有的约束加权最小二乘(CWLS)算法。索引项:到达角(AOA)、差分时延(DTD)、时延(TD)、到达时间差(TDOA)、椭圆定位。
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来源期刊
IEEE Signal Processing Letters
IEEE Signal Processing Letters 工程技术-工程:电子与电气
CiteScore
7.40
自引率
12.80%
发文量
339
审稿时长
2.8 months
期刊介绍: The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.
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