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

机译:非正交多用户信号最大似然检测器的性能分析

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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.
机译:最大似然(ML)检测器是非正交多用户信号的最佳检测器,因为其误差概率是最小的。由于其复杂性,ML检测器的性能分析在很大程度上依赖于通过误差序列分解技术获得的近似界限。在本文中,开发了用于ML检测器的误差概率的精确公式。确切的解决方案是多维积分的形式,并且可以在数值上计算它们。仿真示例用于验证理论结果。

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