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

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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Publication Details

Journal
IEEE Signal Processing Letters
Published
2024-09-13
DOI
https://doi.org/10.1109/lsp.2024.3460475
Citations
5
Primary Topic
Blind Source Separation Techniques
Type
article
Field-Weighted Citation Impact
1.75

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article

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

Shichun Yang, Peng Mei, Ruifeng Gao, Li Zhu et al.
5 citations
IEEE Signal Processing Letters
Blind Source Separation Techniques
1.75
article

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

Shichun Yang, Peng Mei, Ruifeng Gao, Li Zhu, Cong Huang
article en
5 citations

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.

IEEE Signal Processing LettersVol. 32
Nantong University (CN), Beihang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 14%
Blind Source Separation Techniques
1.75
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