Sparse-Aware Minimum Mean Square Error Detector for MIMO Systems
- Authors
- Ran, Rong; Wang, Jiaheng; Oh, Seong Keun; Hong, Song nam
- Issue Date
- Oct-2017
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- MIMO systems; symbol error vector; sparse aware; MMSE detector
- Citation
- IEEE COMMUNICATIONS LETTERS, v.21, no.10, pp.2214 - 2217
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE COMMUNICATIONS LETTERS
- Volume
- 21
- Number
- 10
- Start Page
- 2214
- End Page
- 2217
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/4028
- DOI
- 10.1109/LCOMM.2017.2723362
- ISSN
- 1089-7798
- Abstract
- In this letter, we propose a novel detector, called the sparse-aware minimum mean square error (SA-MMSE) detector, to improve detection performance for multiple input multiple output (MIMO) systems. We first convert a conventional MIMO system into a sparse system via the symbol error vector obtained from a linear detector. Then, we develop a new sparse refining method, which has a similar structure as the linear MMSE detector, to improve the detection performance. The proposed SA-MMSE detector can be performed iteratively and has low complexity similar to that of the parallel interference cancellation (PIC). Simulation results show that the SA-MMSE detector outperforms the compressive-sensing-based detector and PIC with a similar complexity, especially when the numbers of users and antennas become large.
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