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Clipping method for adaptive QRD-M detection
- Lim, Hyeongyong;
- Park, Gihong;
- Yoon, Dongweon
Citations
SCOPUS
4초록
In this paper, we propose a clipping method for an adaptive QR decomposition (QRD)-M algorithm in multiple-input multiple-output (MIMO) systems. To reduce the computational complexity without a significant bit error rate (BER) degradation, the proposed algorithm eliminates unreliable candidate symbols using a clipping parameter. Particularly, in a low signal-to-noise ratio (SNR) regime, the proposed clipping method is effective in terms of low computational complexity since unreliable candidate symbols can be discarded by the clipping parameter. In order to validate the proposed algorithm, we present the BER and computational complexity of the proposed algorithm and compare with those of the conventional QRD-M algorithm.
키워드
Adaptive threshold; clipping method; QRD-M algorithm; Bit error rate; Computational complexity; MIMO systems; Adaptive QRD-M detection; Adaptive thresholds; clipping method; Low computational complexity; Low signal-to-noise ratio; M-algorithms; QR decomposition; Signal to noise ratio
- 제목
- Clipping method for adaptive QRD-M detection
- 저자
- Lim, Hyeongyong; Park, Gihong; Yoon, Dongweon
- 발행일
- 2017-12
- 유형
- Conference Paper
- 저널명
- International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017
- 권
- 2017-December
- 페이지
- 656 ~ 658