基于模糊推理系统的DVB-T2机顶盒跟踪天线系统设计

Herti Miawarni, D. Setyawan, E. Setijadi, M. M. Hidayat, S. Sumpeno
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引用次数: 0

摘要

由于天线方向不准确,给DVB-T2机顶盒的信道搜索带来困难。具有自动跟踪能力的跟踪天线系统是一种方便信道搜索的实用技术。在实际实现中,跟踪天线系统需要参考参数,这些参考参数在性能有限的处理器上易于获取和处理。本文研究的重点是如何获得跟踪天线系统的可靠输入参数。模糊推理系统不是用于跟踪方法,而是用于改进输入参数的处理。本文提出了两个可能的参数,其中包括信号指示器和CVBS亮度水平。模糊推理系统(FIS)作为实时视频质量评估(VQA),将这两个参数作为FIS的输入。实验结果表明,这两个参数作为跟踪天线系统的输入参数是非常可行的。FIS仿真结果表明,该算法具有良好的性能。仿真结果表明,FIS可以调节参数特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tracking Antenna System Design for DVB-T2 Set Top Box Based on Fuzzy Inference System
An inaccuracy antenna direction causes the channel searching on DVB-T2 STB to be difficult. Tracking antenna system with auto-tracking capability is the applicable technology which can facilitate the process of channel searching. In a real implementation, the tracking antenna systems need reference parameters which are easily obtained and easily processed on the processors with limited capabilities. The focus of this paper is how to obtain reliable input parameters for the tracking antenna system. Fuzzy Inference system is not used for tracking method but to improve input parameters processing. This paper proposes two possible parameters, among others are the signal indicator and CVBS luminance level. FIS (Fuzzy Inference System) is used as a real-time VQA (Video Quality Assessment) and makes both of parameters as FIS input. The test result shows that both parameters are very feasible to be used as input parameters for tracking antenna system. FIS simulation shows that this algorithm has good performance. This is shown by the simulation results that FIS can adjust the parameter characteristics.
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