A Modified Structured SAMP Channel Estimation Method for FDD MIMO-OTFS Systems
Orthogonal time frequency space (OTFS) modulation has been proposed to provide users with stable and reliable services in high-mobility scenarios. The sparse representation of channels in OTFS makes it possible to obtain accurate channel state information with a small number of pilots by compressed...
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Veröffentlicht in: | IEEE wireless communications letters 2024-11, Vol.13 (11), p.3005-3009 |
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Sprache: | eng |
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Zusammenfassung: | Orthogonal time frequency space (OTFS) modulation has been proposed to provide users with stable and reliable services in high-mobility scenarios. The sparse representation of channels in OTFS makes it possible to obtain accurate channel state information with a small number of pilots by compressed sensing (CS) algorithms. However, conventional CS algorithms in MIMO-OTFS channel estimation schemes assume that channel sparsity K is known, which is often not available in practical scenarios. In this letter, we propose a structured sparsity adaptive matching pursuit (SSAMP) algorithm for MIMO-OTFS channel estimation without the prior information of the channel sparsity K. On this basis, we further propose a modified structured sparsity adaptive matching pursuit algorithm to improve both the channel estimation accuracy and reconstruction speed. Simulation results show that the proposed algorithms are effective. |
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ISSN: | 2162-2337 2162-2345 |
DOI: | 10.1109/LWC.2024.3435077 |