Research on Voice Compression Coding Scheme for Ground Penetrating Wireless Communication Based on Compressive Sensing

To achieve the purpose of voice transmission in wireless communication through coal mines, a voice compression coding system combining compressive sensing and incremental modulation technology was designed. Firstly, the voice signal is observed using a random Gaussian matrix, and then the observation vector is incrementally modulated and encoded. After decoding at the receiving end, the voice signal is reconstructed using the alternating direction method of multipliers (ADMM) as a sparse reconstruction algorithm. The simulation was performed on Matlab, and the results showed that, without considering channel loss, the established voice compression scheme can meet the needs of voice compression coding in underground wireless communication.