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介绍了光多输入多输出(MIMO)系统的信道模型,通过将低密度校验码(LDPC)高可靠性的译码结果反馈给分层空时编码(BLAST)译码器,提出了一种适合于LDPC-VBLAST光级联空时编码系统的联合检测迭代译码算法。利用蒙特卡洛方法分析了该译码算法的误码性能,并和简单级联译码算法的性能进行了对比。结果表明:这种联合检测迭代译码算法的误码性能明显优于已有的简单译码算法。另外,采用数值分析法分析了迭代次数对该译码算法性能的影响,结果表明,在折衷考虑系统误码性能和译码算法复杂度的情况下,要合理选取迭代次数,即迭代次数不宜选取过大。
The channel model of optical multiple input multiple output (MIMO) system is introduced. By feeding back the decoding result with high reliability of low density parity check code (LDPC) to the layered space-time coding (BLAST) decoder, A Joint Detection Iterative Decoding Algorithm Suitable for LDPC-VBLAST Optical Cascade Space-Time Coding System. The error performance of the decoding algorithm is analyzed by Monte Carlo method, and compared with the performance of the simple concatenation decoding algorithm. The results show that the error detection performance of this joint detection iterative decoding algorithm is obviously better than the existing simple decoding algorithm. In addition, the influence of the number of iterations on the performance of the decoding algorithm is analyzed by numerical analysis. The results show that in the case of eclectic consideration of system error performance and decoding algorithm complexity, the number of iterations should be chosen reasonably, ie, the number of iterations should not be chosen is too big.