A real-time spectrum data compression method based on character encoding

mingsheng zhou, Binbin Deng, Mingming Kong, Ye Yuan
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Abstract

Spectrum data is the main research object in the field of radio management, its storage and processing are the key process for radio monitoring. In view of the scanning frequency spectrum has high redundancy, we propose a real-time spectrum data compression method based on UTF-8 coding. This method aims at reducing storage consumption and excessive network load without affecting spectrum data analysis. Considering the similarity between spectrum data, a multi-threshold controlled matching algorithm is designed to pick out the typical spectrum sets represent all spectral data of each signal. Then replace all the original spectrum with a small amount of data to achieve the purpose of compressing. We have verified its effectiveness in several bands, and the results show that this method has good compression effect and low recovery distortion. In particular, the compression ratio is close to 1% at low frequency occupation.
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一种基于字符编码的实时频谱数据压缩方法
频谱数据是无线电管理领域的主要研究对象,其存储和处理是无线电监测的关键环节。针对扫描频谱具有高冗余的特点,提出了一种基于UTF-8编码的实时频谱数据压缩方法。该方法的目的是在不影响频谱数据分析的情况下减少存储消耗和过多的网络负载。考虑到频谱数据之间的相似性,设计了一种多阈值控制匹配算法,选取代表每个信号所有频谱数据的典型频谱集。然后用少量数据替换全部原始频谱,达到压缩的目的。在多个频带上验证了该方法的有效性,结果表明该方法具有良好的压缩效果和低的恢复失真。特别是在低频占用时,压缩比接近1%。
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