Eliminating adjacent-channel interference in satellite-based General Packet Radio Service (GPRS) systems

Q. Liang
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Abstract

This paper presents a method for eliminating adjacent-channel interference (ACI) in satellite-based General Packet Radio Service (GPRS) systems using a new fuzzy adaptive filters (FAF). We validate the reasons for using such a filter by analyzing the Bayesian detector in which some parameter uncertainties exist. A clustering method is used to adaptively design the parameters of the FAF. Simulation results show that the detector based on the new FAF perform better than the maximal-likelihood block phase estimation detector.
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消除基于卫星的通用分组无线电业务(GPRS)系统中的邻接信道干扰
提出了一种利用模糊自适应滤波器(FAF)消除卫星通用分组无线电业务(GPRS)系统中邻接信道干扰(ACI)的方法。我们通过分析存在一些参数不确定性的贝叶斯检测器来验证使用这种滤波器的原因。采用聚类方法自适应设计FAF参数。仿真结果表明,该检测器的性能优于极大似然分块相位估计检测器。
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