Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2019, Vol. 42 ›› Issue (5): 133-138.doi: 10.13190/j.jbupt.2018-302

Previous Articles    

A Low-Complexity Detection Algorithm Based on Relaxation Iteration Method for GSM-MBM Systems

JIN Ning1, SONG Wei-jing1, JIN Xiao-ping1, CHEN Dong-xiao1, XU Ling-jing2   

  1. 1. Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, China Jiliang University, Hangzhou 310018, China;
    2. College of Information Engineering, China Jiliang University, Hangzhou 310018, China
  • Received:2018-12-01 Online:2019-10-28 Published:2019-10-28

Abstract: The complexity of the maximum likelihood (ML) detector of the generalized spatial modulation-media based modulation system is very high and exponentially grows with the number of active antennas. A low-complexity detection algorithm termed energy ordered-relaxation iteration method (EO-RIM) is proposed. First, the possible active transmit antenna combinations and corresponding mirror activation pattern combinations are sorted according to their signal energy, then a relaxation iterative method is performed to obtain corresponding modulated signals. According to a predefined threshold, the algorithm strikes a trade-off between complexity and performance. Simulations show that the bit error ratio performance of EO-RIM algorithm approaches that of ML detection algorithm and is comparable to that of the ordered block minimum mean squared error detection algorithm. The computational complexity of EO-RIM grows with the square of the number of active antennas, while ML detector has exponential complexity.

Key words: media based modulation, generalized spatial modulation, relaxation iteration, detection

CLC Number: