Lossless Compression Algorithm for Multi-source Sensor Data Research

In recent years, multi-source sensor system has been widely used in military, agriculture, forestry and other fields, the diversity of information performance, the huge number of information, the complexity of information relations, and require information processing real-time, have been greatly Beyond the general computer integrated processing capacity. In this paper, studies have found that the DEFLATE algorithm is consistent with the "neighbor principle" of sensor data. This is a combination of LZ77 and Huffman algorithms, which in theory should deal with multi-source sensor data more effectively. This paper proposes to increase the "secondary search" function during the DEFLATE algorithm matching process. This improvement effectively increases the possibility of finding a longer matching string, thus further reducing the coding length.