非正交多用户信号的最大似然检测器性能分析

1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304) Pub Date : 1999-05-09 DOI:10.1109/SPAWC.1999.783010

W. Ma, K. Wong, P. Ching

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引用次数: 2

摘要

最大似然检测器是非正交多用户信号的最佳检测器，因为它的误差概率最小。由于其复杂性，机器学习检测器的性能分析很大程度上依赖于误差序列分解技术得到的近似界。本文给出了机器学习检测器误差概率的精确公式。精确解是多维积分的形式，可以用数值方法计算。仿真算例验证了理论结果。

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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Performance analysis of maximum likelihood detector for non-orthogonal multiuser signals

The maximum likelihood (ML) detector is an optimum detector for non-orthogonal multiuser signals since its probability of error is the minimum. Due to its complexity, performance analysis of the ML detector has relied heavily on approximation bounds obtained by the technique of error sequence decomposition. In this paper, exact formulas for the error probabilities of the ML detector are developed. The exact solutions are in the form of multi-dimensional integrals, and it is possible to numerically compute them. Simulation examples are used to verify the theoretical results.

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来源期刊

1999 2nd IEEE Workshop on Signal Processing Advances in Wireless Communications (Cat. No.99EX304)

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