Reduced ML-DFE Algorithm
Abstract
Multiple-input multiple-out (MIMO) technology is a very promising technology in the future high spectrum efficient wireless communication system. While the calculation complexities of most receive detection algorithms of the MIMO system are very high. Maximum likelihood decision feedback equalization (ML-DFE) algorithm is good at the balance of the performance and the complexity of detection. But it complexity is still high.
A novel algorithm aiming at reducing the calculation complexity of the ML-DFE algorithm has been developed in this article. Each layer in the searching tree, the number of the visited nodes will be reduced to a preset number. Simulation results show that the calculation complexity of the proposed algorithm drops from 24% to 42% while the performance drops little.
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