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.
Authors
- Shichun Yang (ORCID: https://orcid.org/0000-0003-3426-7988)
- Peng Mei (ORCID: https://orcid.org/0000-0002-7219-740X)
- Ruifeng Gao (ORCID: https://orcid.org/0000-0002-3596-4120)
- Li Zhu (ORCID: https://orcid.org/0009-0003-4453-6165)
- Cong Huang (ORCID: https://orcid.org/0000-0003-2577-1402)
Institutions
- Nantong University (CN)
- Beihang University (CN)
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
Funders
- National Natural Science Foundation of China