An efficient self-recovering adaptive algorithm for BPSK signals transmitted through underwater acoustic channels

Proposes a receiver which performs fast self-recovering adaptive identification and equalization based on decision feedback equalization and reduced maximum likelihood sequence estimation. It runs on binary-phase-shift keying signals through underwater acoustic channels. Considerations for its implementation are discussed. Its performance is demonstrated both on experimental data from a long-range deep water channel and on simulated data from two discrete-time channels with severe amplitude distortion and additive white Gaussian noise.