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A Nonlinear $M$-Estimation Approach to Robust Asynchronous Multiuser Detection in Non-Gaussian Noise

机译:非高斯噪声中非线性鲁棒异步多用户检测的非线性$ M $估计方法

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摘要

A nonlinear $M$ -estimation approach is proposed to solve the multiuser detection problem in asynchronous code-division multiple-access (CDMA) systems where the ambient noise is impulsive and the delays are not known. We treat the unknown delays as nuisance parameters and the transmitted symbols as parameters of interest. We also analyze the asymptotic performance of the proposed estimator and propose suboptimal but computationally efficient procedures for solving the nonlinear optimization function. Simulation results show considerable improvements over the conventional approaches.
机译:提出了一种非线性的$ M $估计方法来解决环境噪声是脉冲性的且延迟未知的异步码分多址(CDMA)系统中的多用户检测问题。我们将未知延迟视为令人讨厌的参数,并将已传输的符号视为感兴趣的参数。我们还分析了所提出的估计器的渐近性能,并提出了次优但计算有效的过程来求解非线性优化函数。仿真结果表明,与传统方法相比,已有相当大的改进。

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