Multi-scale multi-lag channel estimation using low rank structure of received signal

Underwater acoustic channels are wideband time-varying channels, which can be well-described by a multi-scale multi-lag channel model. In this paper, a robust method to estimate the channel parameters from noisy measurements is proposed. The proposed method computes the multiple Doppler scales, delays, and channel attenuation gains corresponding to different propagation paths. In this work, we adapt a spectral line estimation algorithm with a low number of measurements and modest complexity to compute the unknown channel parameters. The performance of the proposed estimation strategy is investigated via numerical simulation and shows that our method has at least 5 to 10 dB improvement in signal-to-noise ratio over previously proposed methods.