Release Time:2019-11-06  Hits:

Indexed by: Journal Papers

Date of Publication: 2019-07-01

Journal: IEEE COMMUNICATIONS LETTERS

Included Journals: EI、SCIE

Volume: 23

Issue: 7

Page Number: 1170-1173

ISSN: 1089-7798

Key Words: Blind detection; greedy algorithm; K-means clustering (KMC); spatial modulation (SM)

Abstract: In this letter, we propose a novel clustering-based detector for spatial modulation multiple-input multiple-output (MIMO) system. Specifically, we first convert unconstrained optimization problem of conventional K-means algorithm to the constrained optimization by controlling the number of received symbols in each cluster. Then, a low-complexity greedy algorithm is designed for solving the constrained optimization problem to determine the cluster centroids of the proposed detector and a novel detector based on the greedy algorithm is proposed accordingly. Simulation results show that the proposed detector efficiently avoids the occurrence of error floor effects of conventional K-means detector and can achieve near-maximum likelihood (ML) performance even if the number of clusters is large while effectively reducing the complexity compared to existing blind detectors.