摘要
对舰船辐射噪声中线谱成分的检测,是被动声纳对目标定位识别中的关键技术。应用自适应线谱增强器(Adaptive Line Enhancer,ALE),可以有效从宽带背景噪声中提取出舰船辐射噪声的线谱成分。基于最小均方误差(Least-Mean-Square,LMS)的ALE收敛速度慢,提出应用基于快速横向滤波(Fast Transversal Filter,FTF)的ALE对舰船辐射噪声的非线谱成分进行抑制。仿真结果显示,FTF算法自适应线谱增强器收敛速度快,输出精度较高,有利于对舰船辐射噪声线谱成分的提取。
The detecting of line-spectra in ship-radiated noise is the key technique for passive sonar to position and distinguish underwater targets. ALE（Adaptive line Enhancer） can effectively separate the ship-radiated noise line-spectra from the broadband background noise. For the slow convergence rate and the great complexity LMS（least-mean-square） algorithm-based ALE, the ALE based on the FTF（fast transversal filter） algorithm is used in the ship-radiated noise processing to filter the non-line-spectra. Simulation results indicate that the FTF algorithm-based ALE on is fast in convergence rate and high in output accuracy, and thus is advantageous to extracting the ship-radiated noise line-spectra.
出处
《通信技术》
2017年第6期1175-1180,共6页
Communications Technology
