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Time delay estimation using wavelet denoising maximum likelihood method for underwater reverberant environment
IET Radar Sonar and Navigation ( IF 1.7 ) Pub Date : 2020-07-30 , DOI: 10.1049/iet-rsn.2020.0079
Marxim Rahula Bharathi Boopathi Rajan 1 , Amiya Ranjan Mohanty 2
Affiliation  

Time delay estimation (TDE) between receivers plays a significant role in various fields such as radar, sonar, global positioning system, and underwater communications. TDE is the first step in the localisation and tracking of the source. Estimation of the time delay of a passive sonar system in a reverberant environment is one of the most challenging tasks. For some decades, the well-known generalised cross-correlation (GCC) method has been implemented to estimate the time delay. By using various pre-filters in the GCC method, the quality of TDE has improved in various cases. In this work, the use of wavelet denoising for TDE in a passive sonar system has been proposed. The proposed method uses the denoised signal in a maximum likelihood estimator in the reverberant environment to estimate the time delay. The proposed method is efficient for the underwater reverberant environment.

中文翻译:

小波去噪最大似然法在水下混响环境中的时延估计

接收机之间的时延估计(TDE)在各个领域都发挥着重要作用,例如雷达,声纳,全球定位系统和水下通信。TDE是对源进行定位和跟踪的第一步。估计混响环境中被动声纳系统的时间延迟是最具挑战性的任务之一。几十年来,众所周知的广义互相关(GCC)方法已被用来估计时间延迟。通过在GCC方法中使用各种预过滤器,可以在各种情况下提高TDE的质量。在这项工作中,已经提出了在被动声纳系统中将小波去噪用于TDE。所提出的方法在混响环境中使用最大似然估计器中的去噪信号来估计时间延迟。
更新日期:2020-08-01
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