An Encoding-Decoding-Based State Estimation Scheme With Time-Correlated Fading Channels

IF 3.9 2区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Signal Processing Letters Pub Date : 2024-09-13 DOI:10.1109/LSP.2024.3460475
Cong Huang;Li Zhu;Ruifeng Gao;Shichun Yang;Peng Mei
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Abstract

In this letter, the issue of recursive state estimation for time-varying systems is ironed out under time-correlated fading channels and multiple description coding scheme. The measurements are transmitted through wireless channels, where the coefficients exhibit time-correlated fading. Accordingly, a class of auxiliary variables is introduced to construct an augmented system reflecting the state and fading coefficients. Furthermore, a two-description coding scheme is adopted to encode time-correlated fading measurements into two equally important descriptions. A recursive state estimator capable of guaranteeing an upper bound on the estimation error covariance is firstly designed, which innovatively considers both time-correlated channel fading and multiple description coding approach, and is suitable for online computing. Then, such an upper bound is minimized through appropriate estimator gain parameters. Finally, a numerical example is utilized to demonstrate the effectiveness of the proposed state estimation algorithm.
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基于时间相关衰减信道的编码-解码状态估计方案
本文研究了时变系统在时间相关衰落信道和多描述编码下的递归状态估计问题。测量结果通过无线信道传输,其中系数表现出时间相关衰落。在此基础上,引入一类辅助变量来构造反映状态和衰落系数的增广系统。此外,采用双描述编码方案将时间相关衰落测量值编码为两个同等重要的描述。首先设计了一种能够保证估计误差协方差有上界的递归状态估计器,创新性地考虑了时间相关信道衰落和多重描述编码方法,适合于在线计算;然后,通过适当的估计器增益参数最小化该上界。最后,通过一个算例验证了所提状态估计算法的有效性。
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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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