Title:
MIMO-Detection-Algorithm-
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Description: Multi-input multi-output (MIMO) systems can achieve more capacity than single input single
output systems. For MIMO systems, maximum likelihood detection is the optimum detection but its exponential
complexity limits its application. In this paper, a complex lattice reduction algorithm based on householder
transform is proposed and combined with MIMO suboptimal detection algorithm. Moreover the complexity of this
complex lattice reduction algorithm is lower than that of real lattice reduction algorithm. Simulation results show
that MIMO suboptimal detection algorithm based on this complex lattice reduction can approach the optimum
performance of maximum likelihood detection by optimizing channel matrix to get better decision domain.
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复数域格缩减的MIMO检测算法研究.pdf
