Moving Target At Constant Velocity Localization Using TOA Measurements From Single Moving Receiver With Unknown Signal Period

IF 2.9 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Yanbin Zou;Jingna Fan;Zekai Zhang
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引用次数: 0

Abstract

In this article, we consider using time-of-arrival (TOA) measurements from a single moving receiver to locate a moving target at constant velocity that emits a periodic signal with unknown signal period. First, we give the TOA measurement model and deduce the Cram $\acute{\text{e}}$ r-Rao lower bounds (CRLB). Then, we formulate a nonlinear least squares (NLS) problem to estimate the unknown parameters. We use semidefinite programming (SDP) techniques to relax the nonconvex NLS problem. However, it is shown that the SDP localization algorithm cannot provide a high-quality solution. Subsequently, we develop a fixed point iteration (FPI) method to improve the performance of the SDP algorithm. In addition, we also consider the presence of receiver position errors and develop the corresponding localization algorithm. Numerical simulations are conducted to demonstrate the localization performance of the proposed algorithms by comparing them with the CRLB. Index Term -Fixed point iteration (FPI), semidefinite programming (SDP), single moving receiver, target localization, time-of-arrival (TOA).
利用信号周期未知的单个移动接收器的 TOA 测量进行匀速运动目标定位
在本文中,我们考虑使用来自单个移动接收器的到达时间(TOA)测量来定位一个发射未知信号周期的周期性信号的匀速运动目标。首先,我们给出 TOA 测量模型,并推导出 Cram $\acute{\text{e}}$ r-Rao 下限 (CRLB)。然后,我们提出一个非线性最小二乘(NLS)问题来估计未知参数。我们使用半定量编程(SDP)技术来放松非凸 NLS 问题。但结果表明,SDP 本地化算法无法提供高质量的解决方案。随后,我们开发了一种定点迭代(FPI)方法来提高 SDP 算法的性能。此外,我们还考虑了接收器位置误差的存在,并开发了相应的定位算法。我们进行了数值模拟,通过与 CRLB 的比较,证明了所提算法的定位性能。索引术语-定点迭代(FPI)、半定量编程(SDP)、单移动接收机、目标定位、到达时间(TOA)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.30
自引率
0.00%
发文量
0
审稿时长
22 weeks
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