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RA码的译码通常是利用BP译码算法来实现的,但是BP译码算法的硬件电路复杂.虽然最小和译码算法、归一化译码算法和偏移量译码算法能够简化BP译码算法,但它们都是以牺牲性能为代价的.根据最小均方误差准则,提出一种改进型RA译码算法,该算法采用高次逼近的方法来近似于BP译码算法,能够降低BP译码算法的复杂度.仿真结果表明,与BP译码算法相比,改进型RA译码算法能在降低算法复杂度的同时保持良好的译码性能,与归一化译码算法和偏移量译码算法相比,改进型RA译码算法的复杂度几乎不变,但译码性能得到了明显的提高.图6,表1,参10.
The decoding of RA codes is usually implemented by using BP decoding algorithm, but the hardware circuit of BP decoding algorithm is complex.Although the minimum and decoding algorithms, normalization decoding algorithm and offset decoding algorithm can simplify BP translation But all of them are at the expense of performance.According to the minimum mean square error criterion, an improved RA decoding algorithm is proposed, which uses the high-order approximation method to approximate the BP decoding algorithm and can reduce the BP The complexity of the decoding algorithm.The simulation results show that compared with the BP decoding algorithm, the improved RA decoding algorithm can reduce the complexity of the algorithm while maintaining good decoding performance, compared with the normalized decoding algorithm and offset Compared with the quantitative decoding algorithm, the complexity of the improved RA decoding algorithm is almost the same, but the decoding performance is obviously improved.Figure 6, Table 1, Reference 10.