Broadband Satellite Spectrum Compression Based on Improved LZSS

Broadband satellite signals generate a large amount of data at high sampling rates, and spectral data compression is required to reduce transmission bandwidth pressure. The current compression algorithm has a high compression rate for spectral data, this paper proposes a preprocessing algorithm based on the characteristics of large redundancy of broadband satellite spectral data, which differentiates the current frame from the reference frame, and then interleaves the differentiated data to increase the redundancy between the data, and proposes an adaptive coding scheme for the problem of large coding redundancy when the offset is small, which further reduces the compression rate by using fewer bits to represent the coding result. The test results show that the improved algorithm in this paper reduces the compression rate by about 30 % relative to the traditional LZSS algorithm, which can effectively reduce the pressure of data transmission and has practical application value.