For the MIMO systems with a large number of antennas and a large QAM constellation

the existing parallel detection algorithms

which are based on channel partition

can approach the optimal detection performance but the computational efficiency is sacrificed.In order to solve the problem

a new parallel detection algorithm based on channel partition is proposed.This algorithm can not only efficiently reduce the computational complexity but also guarantee the detection performance.After channel partition

this algorithm firstly employs the lattice reduction algorithm under the MMSE criterion to improve the properties of the sub-channels;and then the remaining signals are detected with a nonlinear method.The simulation results show that the proposed algorithm achieves the near-optimal detection performance for the 4*4 and 6*6 MIMO systems and its performance decreases 1dB for the 8*8 MIMO systems compared to the optimal performance.Complexity analysis shows that its complexity is reduced 90% or above for 6*6 MIMO systems and 98% or above for 8*8 MIMO systems at the same BER.