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An improved super-exponential algorithm for blind equalization of SatelliteSIMO communication systems

机译:一种改进的卫星通信系统盲均衡超指数算法

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Blind equalization is an effective way to suppress the inter-symbol interference (ISI), which is caused by multipath fading communication channels. An improved robust super-exponential method (ISEM) is proposed here and extended to single-input multi-output (SIMO) models which are commonly used in satellite communication systems. The method, combining super-exponential method (SEM) and minimum description length (MDL), makes the equalization achieve good results even when the signal to noise ratio (SNR) is low. ISEM estimates the noise power of the received signal and then equalizes it by reducing the noise affection. Compared with robust super-exponential method (RSEM) in [1], the presented method has better performance but less computation.
机译:盲均衡是抑制符号间干扰(ISI)的有效方法,这是由多径衰落通信信道引起的。这里提出了一种改进的鲁棒超级指数方法(ISEM),并扩展到典型用于卫星通信系统的单输入多输出(SIMO)模型。该方法,组合超级指数方法(SEM)和最小描述长度(MDL),即使当信噪比(SNR)低时,也使均衡实现良好的结果。 ISEM估计接收信号的噪声功率,然后通过降低噪声感情来均衡它。与[1]中的鲁棒超指数方法(RSEM)相比,呈现的方法具有更好的性能但计算较少。

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