Channel Estimator and Symbol Detector for OTFS Systems Impaired by Impulsive Noise
- Resource Type
- Periodical
- Authors
- Kumar, A.; Jain, S.; Majhi, S.
- Source
- IEEE Communications Letters IEEE Commun. Lett. Communications Letters, IEEE. 27(10):2742-2746 Oct, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Symbols
Channel estimation
Detectors
Manganese
Quadrature amplitude modulation
Sparse matrices
Filtering algorithms
OTFS
sparse channel estimation
symbol detector
non-Gaussian noise
maximum versoria criterion
- Language
- ISSN
- 1089-7798
1558-2558
2373-7891
The most widely used conventional message-passing detector (MPD) requires channel state information and delivers suboptimal performance for orthogonal time frequency space (OTFS) systems in the presence of impulsive noise (IN). To circumvent this limitation, in this letter, we propose a novel $l_{0}$ -norm constrained maximum Versoria criterion ( $l_{0}$ -MVC) based channel estimator for the OTFS systems impaired by IN with an optimal adaptive tuning of the sparsity regularization parameter. Furthermore, we propose a robust message-passing based on the maximum Versoria criterion (MP-MVC) for OTFS symbol detection in the presence of IN. Analytical and simulation results indicate that the proposed $l_{0}$ -MVC channel estimator and MP-MVC symbol detector outperforms the existing state-of-the-art approaches.