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On complexity of sphere decoding with novel sphere radius determining method

机译:新的球半径确定方法对球解码的复杂性

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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,开发了一种非启发式球体半径确定方法,用于球体解码,以便可以适当选择球体半径以尽可能地限制复杂性,而不会造成明显的性能损失。制定了最大似然检测的符号误码率性能的特殊范围,可以在低信噪比(SNR)区域中用作下限。因此,球半径确定方法可以采用采用边界的SNR相关概率来表示。然后介绍了一种半径确定方法的改进方法,该方法使用压缩因子来抑制低SNR区域中的球体半径,从而可以实现预期的复杂度。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,仿真结果表明了所提出的球体半径确定方法在整个SNR范围内的有效性。

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