针对低信噪比隐蔽水声通信技术不能实现全通信距离范围内隐蔽水声通信的问题，本课题从仿生伪装角度出发，研究基于海豚哨声的伪装隐蔽水声通信技术，允许通信信号被检测，在识别阶段被当作海洋生物噪声排除，达到隐蔽水声通信的效果。考虑到采集到的海豚哨声信号受海洋环境噪声和其它海豚叫声干扰，研究结合海豚哨声特性的滤波、时频参数估计技术，在此基础上，基于正弦模型对海豚哨声信号进行建模与合成；结合海豚哨声信号具有调频的特性，依照其频率变化，研究变参数分段LFM仿生通信技术；结合海豚哨声信号具有颤音的特性，以最小频移键控调制后的连续相位信号作为水印嵌入海豚哨声信号中，研究水印嵌入海豚哨声的仿生通信技术。本项目研究成果为防止水下航行器与水声传感器网络节点通信时声源暴露、非友好节点接入或节点间交互信息时被侦听提供了很好的解决途径。

As compared to the traditional covert communication schemes which usually function at low SNR, the proposed method is not limited to be operated at low SNR. Thus long range covert underwater communication can be achieved with high reliability.the bionic signal is allowed to be detected but it could easily be excluded in the process of recognition/classification by an adversary. This is because the received signal resembles sounds emitted by dolphin whistles. Since the dolphin whistles Collected in the ocean would easily get influenced by oceanic ambient noise and other dolphin sounds. The subject combined the knowledge of filtering relying on dolphin whistle characteristics and the technology of time-frequency parameters estimation. Based on these technologies, we model and synthesis dolphin whistles by sine-wave model. We have two core thoughts. The first is that we have an in-depth study of variable-parameter subsection chirp bionic communication technology according to signals having different frequencies. Due to the inherent vibrato observed in the bottlenose dolphin whistle calls, an alternative to the linear chirp watermarking scheme is to embed information in a synthetic vibrato using minimum shift keying signal. The method can be incorporated as a solution in an underwater communication network for access of network nodes at unfriendly locations.