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出 处:《Journal of Electronics(China)》2003年第5期321-325,共5页电子科学学刊(英文版)
基 金:the National Natural Science Foundation of China under Grant 60102005
摘 要:In Direct-Sequence Code Division Multiple Access(DS-CDMA) mobile communi-cation systems, it is very important to obtain accurate estimation of the channel parameters,especially that of the propagation delay. But the near-far problem may make the estimationcomplicated and can degrade the estimation performance significantly. In this paper, an efficientMaximum Likelihood (ML) method is presented for channel parameter estimation of multi-rateDS-CDMA systems in slow fading multipath channels in a near-far scenario. The algorithmextended the ML approach to multi-rate DS-CDMA systems, and proposes decomposing a multi-dimensional optimization problem into a series of one-dimensional optimization and has improvedcomputational efficiency. Theoretical analysis and numerical examples show that the estimatorproposed is effective and near-far resistant.In Direct-Sequence Code Division Multiple Access(DS-CDMA) mobile communication systems, it is very important to obtain accurate estimation of the channel parameters, especially that of the propagation delay. But the near-far problem may make the estimation complicated and can degrade the estimation performance significantly. In this paper, an efficient Maximum Likelihood (ML) method is presented for channel parameter estimation of multi-rate DS-CDMA systems in slow fading multipath channels in a near-far scenario. The algorithm extended the ML approach to multi-rate DS-CDMA systems, and proposes decomposing a multidimensional optimization problem into a series of one-dimensional optimization and has improved computational efficiency. Theoretical analysis and numerical examples show that the estimator proposed is effective and near-far resistant.
关 键 词:CDMA Channel estimation MULTI-RATE Near-far problem Maximum likelihood CORRELATOR
分 类 号:TN929.533[电子电信—通信与信息系统]
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