Integration Communication and Detection Scheme Based on Superimposed Waveform

Integrated detection and communication (IDC) is vital for development of underwater integration technology. Existing approaches heavily rely on either communication or detection signals, requiring complex integration structures and demodulation techniques. In IDC systems, the superimposed waveforms offer enhanced flexibility, simplified waveform design and improved spectral efficiency. However, a significant challenge of superimposed waveforms is the interference between the communication and detection signal. To address this problem, a novel superimposed waveform adopting detection interference cancellation scheme based on compressed sensing is investigated in this paper. This scheme effectively eliminates detection signal and obtains residual communication signal. By combining the sparse estimation of channel impulse response with prior knowledge of detection signals, it reconstructs the detection interference at the receiver. Furthermore, we demonstrate the superiority of proposed scheme based on compressing sensing by comparing it with correlation matching estimation. Considering the influence of multi-path effects and ambient noise on residual communication signal, this paper introduces a virtual time reversal mirror (VTRM) for channel equalization and Gaussian kernel soft decision algorithm. The multi-path effects and ambient noise are modeled by the Bellhop and Middleton Class A model, respectively. Simulation results and sea trial show that the effectiveness of the proposed scheme.