认知型宽带恒模阵列水声通信多用户信号分离与干扰抑制算法

提出了一种适用于水声通信系统节点多用户信号获取与干扰抑制的宽带空时恒模阵列算法，实现多用户信号提取和宽带干扰的抑制。该算法与常规恒模阵列相比，具有更强的多径与干扰抑制能力。作为认知水声通信技术的重要组成部分，采用时频分析与瞬时自相关等调制特征提取算法，对宽带恒模阵列获取的多用户及干扰有效分类，从而为不同调制用户解调及干扰抑制提供解决方案。计算机仿真验证了该认知处理算法结构的良好性能。

Source Separation and Jamming Suppression for Underwater Acoustic Communication Systems with Cognitive Capability

A type of wide-band space-time constant modulus array algorithm for multi-user signal acquisition and interference suppression in underwater acoustic communication system is proposed to realize multi-user signal extraction and wide-band interference suppression. Compared with the conventional constant modulus array, it has stronger ability of multi-path and interference suppression. As an important part of cognitive underwater communication system, the time-frequency analysis and the instantaneous autocorrelation modulation algorithm for feature extraction provide an effective technique to classify the multi-user signals and interferences obtained by the wide-band constant modulus array, providing a solution to demodulation for different users and interference suppression. The performance of the cognitive processing structure is proved via numerical simulations.