Complexity reduction ML detection algorithm for MIMO system

Abstract:

Aiming at reducing the computational complexity greatly and achieving high detection performance in cooperative MIMO-based WSN, a new complexity reduction ML detection algorithm is proposed. Using con- ventional V-BLAST algorithm, the best performance layer is found, and the neighborhood is considered to be candidate set. Regard the every symbol in the candidate set as initial value, we adopt V-BLAST algorithm a- gain to detect the symbol of other layers. At last, we use the maximum likelihood criterion to judge the candi- date vector. Because the number of constellation point in the maximum likelihood detection algorithm is re- duced effectively, the complexity of the algorithm decrease greatly. The simulation results show that the pro- posed scheme obtains good comprehensive performance