水下单边带语音多通道增强技术

船舶噪声是影响水下语音通信质量的主要因素。为了提高单边带语音信号的信噪比和语音质量,采用多通道自适应增强算法对语音信号进行研究。该算法运用自适应信号增强技术,具有运算量小、易实时实现、消噪效果显著等优点,并且能够有效利用不同换能器接收到的信息。从理论上对该算法进行了分析,并结合海试数据进行验证。结果表明,低信噪比、非平稳噪声环境下,该算法有效抑制了接收信号中的尖锐噪声,并且当系统收敛时,使其趋于白化,明显提高了系统的输出信噪比,显著改善了语音质量,在性能上明显优于传统的信号相干叠加算法。

Research on multi-channel signal enhancement based on SSB underwater voice communication

Ship noise is the main factor that affects the quality of underwater voice communication. In order to improve the SNR and the quality of the single side band voice signal, an intensive study is made by using the multi-channel adaptive enhancement algorithm. The adaptive signal enhancement is adopted in this algorithm, which has the ad-vantages of low computational complexity, easy real-time implementation and remarkable denoising effect. In addition, the information received by different transducers can be effectively utilized. In this paper, the algorithm is analyzed theoretically, and the simulation is carried out with the sea trial data. Simulation results show that the proposed algorithm can effectively suppress the sharp noise in low SNR and non-stationary noise. And when the system is convergent, the noise tends to be whitened. Besides, the output SNR is obviously improved, the quality of voice is improved significantly, and the performance is much better than that of the traditional signal coherent superposition.