Joint adaptive and self-optimized equalizer and spatial-temporal focusing for underwater acoustic communications

Multi-Channel Decision Feedback Equalizer (MC-DFE) is the main method to overcome multi-path fading and eliminate Inter-Symbol Interference (ISI) for underwater acoustic coherent communications. To reduce computational complexity and optimize the equalization algorithm, based on adaptive and self-optimized pre-combination multi-channel decision feedback equalizer, spatial-temporal focused adaptive and self-optimized equalizer is proposed which consists of spatial-temporal focusing processor and adaptive and self-optimized decision feedback equalizer. The simulation experiments results show that the proposed algorithm performance is better than available algorithms. And, the proposed algorithm can further reduce computational complexity of adaptive and self-optimized pre-combination multi-channel decision feedback equalizer without reducing the equalization algorithm performance.