Contextual Direct Position Determination for Path Loss Informed Localization

IF 3.2 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Licheng Zhao;Wenqiang Pu;Rui Zhou;Ming-Yi You;Qingjiang Shi
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引用次数: 0

Abstract

In this letter, we look into the emitter localization task within the Direct Position Determination (DPD) paradigm. This paradigm is by essence a largest eigenvalue problem which treats the channel attenuation variables as free parameters. We consider the channel fading physical rule on electromagnetic signal propagation and reformulate the traditional DPD problem with a channel contextual prior. Thereafter, we develop iterative optimization algorithms based on the majorization-minimization (MM) framework. Numerical results show that the proposed algorithms outperform the traditional DPD estimators with better localization performance.
基于路径损失的上下文直接定位
在这封信中,我们研究了直接位置确定(DPD)范例中的发射器定位任务。该范式本质上是一个以信道衰减变量作为自由参数的最大特征值问题。我们考虑了电磁信号传播中的信道衰落物理规律,用信道上下文先验重新表述了传统的DPD问题。然后,我们开发了基于最大-最小(MM)框架的迭代优化算法。数值结果表明,该算法比传统的DPD估计方法具有更好的定位性能。
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
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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