Low-complexity detection method for spatial modulation based on M-algorithm

• Published in: Electronics letters Vol. 50; no. 21; pp. 1552 - 1554
• Main Authors: Zheng, Jianhong, Yang, Xiaobo, Li, Zhe
• Format: Journal Article
• Language: English
• Published: Stevenage The Institution of Engineering and Technology 09.10.2014; John Wiley & Sons, Inc
• Subjects: Algorithms; BER; Bit error rate; communication complexity; Complexity; complexity detection method; Computation; computational complexity reduction; Computer simulation; Decoders; error statistics; maximum likelihood decoding; maximum likelihood detection; MIMO communication; Modulation; M‐algorithm to maximum likelihood detection; M‐algorithm‐based detection method; Optimization; optimum decoder; parallel structure; search problems; search space; Searching; spatial modulation; Wireless communications; maximum likelihood detection; optimum decoder; modulation; parallel structure; communication complexity; bit error rate; maximum likelihood decoding; BER; spatial modulation; search space; complexity detection method; search problems; MIMO communication; error statistics; computational complexity reduction; M-algorithm to maximum likelihood detection; M-algorithm-based detection method
• ISSN: 0013-5194; 1350-911X; 1350-911X
• DOI: 10.1049/el.2014.2089

A novel M-algorithm-based detection method called M-algorithm to maximum likelihood (M–ML) is proposed for spatial modulation. The proposed algorithm has fixed complexity and reduces complexity by using a parallel structure to limit the search space of an optimum decoder. The simulation results show that by carefully choosing proper values of M, the new algorithm can reduce the computational complexity significantly while maintaining a near-optimum bit error rate performance.