Combining Sphere Decoding with M-Algorithm

Jianping Zheng, B. Bai, Xinmei Wang
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引用次数: 3

Abstract

The sequence detection problem for fading channels in multiple-input multiple-output (MIMO) wireless systems is investigated. The sphere decoding (SD) algorithm provides an exact maximum-likelihood (ML) solution, while has expected worst-case complexity which is exponential in the number of symbols jointly detected. On the other hand, the M-algorithm (MA) is a suboptimal solution. Its complexity is linear in the product of the list number and the number of symbols jointly detected. We combined the sphere-constrained search strategy of SD with the M-constrained search principle of the MA. The resulting algorithms can achieve good performance in term of bit error rate (BER) while lower complexity
球解码与m算法的结合
研究了多输入多输出(MIMO)无线系统中衰落信道的序列检测问题。球体解码(SD)算法提供了精确的最大似然(ML)解,同时具有预期的最坏情况复杂度,该复杂度与共同检测的符号数量呈指数关系。另一方面,m -算法(MA)是一个次优解。其复杂度为列表数与联合检测符号数的乘积的线性关系。将SD的球面约束搜索策略与MA的m约束搜索原则相结合。所得到的算法可以在较低的复杂度下获得较好的误码率性能
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