Spatio-Temporal Reverberation Suppression Method Based on Itakura Distance Segmental Pre-Whitening and Progressive Adaptive Binary SVD

In underwater acoustic signal processing, the overlapping presence of reverberation and target echoes within the time-frequency domain poses formidable challenges for target detection in active detection scenarios conducted from moving platforms. Responding to the demand for low Signal to Reverberation Ratio(SRR) in echo detection, this paper proposes a novel approach based on Itakura distance segmental pre-whitening technique and progressive adaptive binary Singular Value Decomposition (SVD) strategy, which effectively suppresses reverberation and significantly improves echo detection performance. Leveraging Itakura distance as a metric, the method evaluates and adjusts the pre-whitening process of autoregressive models, rendering it suitable for diverse reverberation environments. Furthermore, the progressive adaptive binary SVD refines signal characteristics by adapting decomposition paths to match signal properties, thus achieving efficient signal separation and target detection. Simulation experiments, incorporating factors such as multipath propagation and platform motion, validate the efficacy of the proposed method, demonstrating a 10dB increase in SRR.