论文部分内容阅读
针对成对译码算法复杂度高及迫零/最小均方误差算法性能较差等问题,提出了一种pairwise-quasi-ZF/pairw ise-quasi-MMSE的低复杂度次优译码算法.利用quasi-ZF或quasi-MMSE算法计算出部分发射信号的统计判决值,将该判决值作为译码结果代入成对译码算法表达式中,从而计算出剩余部分发射信号的统计判决值并作为译码结果.比较了所提算法与几种传统译码算法的系统误比特率性能,并比较了ZF,MMSE,quasi-ZF和quasi-MMSE四种算法的计算量.仿真结果表明所提算法的BER性能与quasi-ZF算法和quasi-MMSE算法相比有明显改善,与pairwise-ZF和pairwise-MMSE算法相比BER性能相近,计算量却大大降低.
Aiming at the problems of high complexity of paired decoding algorithm and poor performance of zero-forcing / minimum mean-square-error algorithm, a low complexity sub-optimal decoding algorithm for pairwise-quasi-ZF / pairw ise-quasi-MMSE is proposed. The quasi-ZF or quasi-MMSE algorithm is used to calculate the statistical judgment value of part of the transmitted signal, and the judgment value is used as the decoding result into the paired decoding algorithm expression to calculate the statistical judgment value of the remaining part of the transmission signal and use it as Decoding results.Compared with the traditional bit error rate (BER) performance of the proposed algorithm and several traditional decoding algorithms, the computational complexity of the four algorithms ZF, MMSE, quasi-ZF and quasi-MMSE are compared.The simulation results show that the proposed algorithm Compared with the quasi-ZF algorithm and the quasi-MMSE algorithm, the BER performance is significantly improved. Compared with the pairwise-ZF and pairwise-MMSE algorithms, the BER performance is similar, but the computational cost is greatly reduced.