Underwater Acoustic Sensor Array Signal Lossless Compression Based on Valid Channel Decision Approach

Abstract

A lossless compression method for underwater acoustic sensor array signals is proposed here. The proposed method consists of a valid channel decision and MPEG-4 ALS. The valid channel decision is based on Root-Mean-Square Crossing-Rate (RMSCR)-based sensor fault detection for excluding faulty sensor signals from the encoding process. After the decision process, multi-channel sensor signals are encoded losslessly using the MPEG-4 ALS encoder. For performance evaluation of the proposed method, we measure the precision of detecting faulty sensor and compression ratio. Findings show that the fault detection of proposed method works correctly, and compression ratio increases by 0.5% compared to the MPEG-4 ALS reference software in faulty sensor signal send mode, and by 3.05% in non-send mode.