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Simplified maximum likelihood detection for multi-beam satellite systems using group-wise interference cancellation

机译:使用逐组干扰消除的多波束卫星系统简化的最大似然检测

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The ideal joint detection method for multi-beam satellite systems is the maximum likelihood (ML) detection, while the complexity increases exponentially with the number of spot beams. A simplified ML detection is proposed for multi-beam satellite systems in this paper. The proposed algorithm is based on grouping of spot beams. ML detection is applied within groups after a crucial group detection and interference cancellation. The performance is improved by keeping multiple candidates for each group and a final constrained ML detection. Simulation results verify that the proposed algorithm reduces the computational complexity significantly while limiting the performance loss to within 0.2 dB from ML detection. In addition, the complexity of the proposed algorithm is reduced by 60 percent compared with that of a multistage group detection algorithm.
机译:多波束卫星系统的理想联合检测方法是最大似然(ML)检测,而复杂度则随点波束的数量呈指数增加。本文提出了一种针对多波束卫星系统的简化ML检测方法。所提出的算法基于点波束的分组。在关键组检测和干扰消除之后,将ML检测应用于组内。通过为每个组保留多个候选对象并最终约束ML检测,可以提高性能。仿真结果验证了该算法大大降低了计算复杂度,同时将性能损失从ML检测限制在0.2 dB以内。此外,与多阶段组检测算法相比,该算法的复杂度降低了60%。

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