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On complexity of sphere decoding with novel sphere radius determining method

机译:用新型球形半径测定方法对球体解码的复杂性

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In this article a non-heuristic sphere radius determining method for sphere decoding is developed so that the sphere radius could be properly chosen to restrict the complexity as much as possible without incurring evident performance loss. A special bound of symbol error ratio performance of maximum likelihood detection is formulated which can serve as a lower bound in low signal to noise ratio (SNR) region. Thus the sphere radius determining method can be presented with a SNR dependent probability employing the bound. Then a modification of radius determining method is introduced using a compress factor suppressing the sphere radius in low SNR region to make the expected complexity tolerable. The expected complexity analysis is performed based on the expected number of all visited nodes for all search levels. Finally, simulation results show the effectiveness of the proposed sphere radius determining method within the whole SNR region.
机译:在本文中,开发了用于球形解码的非启发式球半径确定方法,使得可以适当地选择球半径以尽可能地限制复杂性,而不会产生明显的性能损失。 制定了最大似然检测的符号误差比性能的特殊界限,其可以用作低信噪比(SNR)区域的低信噪比下限。 因此,球形半径确定方法可以呈现采用界限的SNR相关概率。 然后使用压缩因子抑制低SNR区域中的球半径来引入半径确定方法的修改,以使得能够容忍预期的复杂性。 基于所有搜索级别的所有访问节点的预期数量执行预期的复杂性分析。 最后,仿真结果表明了全SNR区域内所提出的球形半径测定方法的有效性。

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