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Block Adaptive Least Mean Square Algorithm for Satellite Multi-beamforming

机译:卫星多波束成形的块自适应最小均方算法

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Modern satellite communication systems are designed to meet broadband, high-capacity and high-speed service requirements, but spectrum-limited and quality-of-service issues due to spatial multiplexing of spectrum resources can not be ignored. Because of the multicast mode, the interference problem between multi-users in satellite communication is very serious. Therefore, multi-beam forming in the digital domain is the development trend of multi-beam forming structure. In this paper, we propose a block-adaptive least mean square algorithm, which is based on the strong rainfall attenuation of the Ka-band GEO satellite system. The algorithm is applied in the use of 37 array elements evenly arranged phased array antenna to form 7 spot beams. The convergence and tracking characteristics of the improved algorithm are analyzed by comparing the typical LMS algorithm. Finally, a pattern of the given coverage area beam is formed.
机译:现代卫星通信系统旨在满足宽带,大容量和高速服务的需求,但是由于频谱资源的空间复用而导致的频谱受限和服务质量问题不可忽视。由于采用了多播模式,卫星通信中多用户之间的干扰问题非常严重。因此,数字领域的多波束成形是多波束成形结构的发展趋势。本文提出了一种基于Ka波段GEO卫星系统强降雨衰减的块自适应最小均方算法。该算法在使用37个均匀排列的相控阵天线以形成7个点波束的应用中得到了应用。通过比较典型的LMS算法,分析了改进算法的收敛性和跟踪特性。最后,形成给定覆盖区域光束的图案。

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