Multi-Receiver Modulation Classification for Non-Cooperative Underwater Acoustic Communications

In this paper, we design a non-cooperative underwater acoustic communications system employing automatic modulation classification (AMC) and blind channel estimation (BCE). The proposed system is based on the multi-receiver and the blind channel estimation exploits cross-relation between the receivers and the sparsity structure of the underwater acoustic channels. Based on the estimated channel impulse response, the classification ability of the featured-based AMC algorithm and the performance of the blind demodulator in multipath sparse channels is investigated. The simulation results show that the proposed system provides a good classification and demodulation performance while exhibiting significantly accurate blind channel estimation.