In this paper, we propose an efficient ordered-statistics decoding (OSD) algorithm with an adaptive Gaussian elimination (GE) reduction technique. The proposed decoder utilizes two conditions to adaptively remove GE in OSD. The first condition determines whether GE could be skipped in the OSD process by estimating the decoding error probability. Then, the second condition is utilized to identify the correct decoding result during the decoding process without GE. The proposed decoder can break the "complexity floor" in OSD decoders introduced by the overhead of GE. Simulation results advise that when compared with existing schemes in the literature, the proposed approach can significantly reduce the decoding complexity at high SNRs without any degradation in the error-correction capability.

翻译：在本文中,我们建议采用适应性高斯消除(GE)减排技术的高效有序统计解码算法(OSD),拟议的解码器利用两个条件在OSD中适应性地去除GE。第一个条件决定了在OSD过程中是否可以通过估计解码错误概率而跳过GE。然后,第二个条件被用来确定在没有GE的情况下解码过程中正确的解码结果。提议的解码器可以打破GE的间接费用在OSD解码算法中引入的“复合底线 ” 。模拟结果表明,与文献中的现有计划相比,拟议的方法可以显著降低高IRS的解码复杂性,而不会降低错误校正能力的任何退化。