期刊
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
卷 67, 期 10, 页码 10070-10075出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2018.2857480
关键词
Sparse signal estimation; asymptotically optimal; robust; MMSE bound; TSR-DFT
资金
- National Science Foundation of China
- SUTD-MIT International Design Centre [NSFC 61750110529]
- PHC Merlion Ph.D. program [913888J]
In this paper, we propose a sparse signal estimation algorithm that is suitable for many wireless communication systems, especially for the future millimeter wave and underwater communication systems. This algorithm is not only asymptotically optimal. but also robust to the distribution of nonzero entries of the sparse signal. Then, we derive its upper bound and lower bound, and show that the mean square error of the proposed algorithm can approach the minimum mean square error bound when the signal noise ratio goes to infinite or zero. Numerical Simulations verify our theoretical analysis and also show that the proposed algorithm converges faster than existing algorithms. e.g., turbo-type signal recovery-discrete filmier transform, approximate message passing, etc.
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