Computational efficiency of list sphere detection

M. Hedley, H. Suzuki, G. Daniels
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引用次数: 4

Abstract

In this paper the performance of a promising MIMO detection algorithm, list sphere detection, is evaluated for a range of list lengths and for four variations to the basic algorithm. The evaluation uses a MIMO-OFDM-BICM system simulation to show bit error performance versus the computational effort, and the results are compared to maximum likelihood detection. The results provide guidance on the selection of an appropriate list length and algorithm. In applications where a short list length must be used due to memory or computation constraints the results show the loss in performance that can be expected
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表球检测的计算效率
本文对一种很有前途的MIMO检测算法——列表球体检测算法,在一定范围内的列表长度和基本算法的四种变体下,对其性能进行了评价。评估使用MIMO-OFDM-BICM系统模拟来显示误码性能与计算工作量,并将结果与最大似然检测进行比较。结果为选择合适的列表长度和算法提供了指导。在由于内存或计算限制而必须使用短列表长度的应用程序中,结果显示可以预期的性能损失
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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