针对多用户空时块码正交频分复用系统,提出了基于Turbo码的自适应加权并行多用户检测方法.该方法利用自适应加权多用户检测进行多用户信号分离,并将所获得的软比特信息作为Turbo码的先验信息进行译码,将译码所得的外信息作为下次迭代中自适应加权多用户检测中权值的先验信息.数值仿真结果表明:采用该方法的空时块码正交频分复用系统收敛较快,与自适应部分并行多用户系统、实验加权多用户系统、传统并行干扰抵消多用户系统进行比较,分别可获得1.8 dB,2.5 dB和3 dB的增益.
By exchanging information between Turbo decoding and multi-user detector,an iterative algorithm for adaptive weighting parallel multi-user detection is proposed.The method is applied to space time block coded orthogonal frequency division multiplexing(STBC-OFDM) systems.Multi-user signals are separated using the algorithm,and the obtained soft bit information is used as the prior information for Turbo decoding. The extrinsic information obtained in Turbo decoding is then used as a priori information for weighting coefficients in the next iteration of adaptive weighting multi-user detection.Simulation results show that the proposed method converges rapidly in space time block coded OFDM systems.Compared with adaptive partial parallel multi-user detection,trail-and-error multi-user detection,and the conventional parallel interference cancellation multi-user detection,the proposed technique offers gains of 1.8 dB,2.5 dB and 3.0 dB respectively.