Performance of compression algorithms for radio signal data

Wang Zhi-xin, Yu Xin-dong, Li Hai-Feng, Feng Tao, Zheng Lu, Liu Jun-Wei
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Abstract

In the face of the shortage of radio spectrum resources, the contradiction between supply and demand and other issues, data compression technology can ensure data integrity while saving storage space, effectively improving the utilization of spectrum resources. This article first makes lossless Huffman coding, LZ77, LZ78, and LZW algorithms. The compression technology is briefly introduced, and the application of various algorithms and the corresponding advantages and disadvantages are analyzed with examples. Secondly, for the radio signal data of the radio monitoring station in Gansu Province, the performance of these commonly used lossless compression algorithms is compared. Finally, the experimental test result data proves that when the compressed file is large, the LZ series algorithm has a better compression effect than the Huffman algorithm. In LZ series, LZW algorithm has the best compression effect, LZ77 algorithm has the worst compression effect, and the compression effect of LZ78 is between them. When the compressed file is small, because the data in the compressed file is less, the compression effect of several algorithms is not obvious.
无线电信号数据压缩算法的性能
面对无线电频谱资源紧缺、供需矛盾等问题,数据压缩技术可以在保证数据完整性的同时节省存储空间,有效提高频谱资源的利用率。本文首先介绍无损霍夫曼编码、LZ77、LZ78和LZW算法。简要介绍了压缩技术,并通过实例分析了各种算法的应用及相应的优缺点。其次,针对甘肃省某无线电监测站的无线电信号数据,比较了几种常用的无损压缩算法的性能。最后,实验测试结果数据证明,当压缩文件较大时,LZ级数算法比Huffman算法具有更好的压缩效果。在LZ系列中,LZW算法压缩效果最好,LZ77算法压缩效果最差,LZ78的压缩效果介于两者之间。当压缩文件较小时,由于压缩文件中的数据较少,几种算法的压缩效果不明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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