This paper proposes the use of gated feedback gated recurrent unit network (GFGRU), a
learning-based sparse estimation algorithm, for multiple source localization in the direct …

Underwater source localization by deep neural networks (DNNs) is challenging since
training these DNNs generally requires a large amount of experimental data and is …

In this paper, a method for the problem of depth estimation of a broadband source via
reliable acoustic path propagation is presented for the case using a vertical line array (VLA) …

In underwater acoustic detection using towed arrays, the in-band radiation noise of the tow-
ship generates significant interference. In this article, a high-resolution spatial filter based on …

Wideband sparse Bayesian learning (WSBL) based on joint sparsity achieves high direction-
of-arrival (DOA) estimation precision when the signals share the same frequency band …

A method based on delay-and-sum (DAS) of cross-correlation functions is proposed for
multipath time-delay estimation of a broadband signal received by a vertical line array (VLA) …

Towed array sonars are preferred for detecting stealthy underwater targets that emit faint
acoustic signals in the ocean, especially in shallow waters. However, the towing ship being …

Aiming at the problems in the bearing-only tracking (BOT) of underwater weak target in the
presence of interferers, such as discontinuity of tracking trajectory and target loss, a novel …

干扰和噪声无处不在, 在实际应用中将直接影响到信号与信息处理的性能,
尤其是感兴趣目标信号相对干扰和噪声等的幅度较小的微弱信号处理, 需求非常广泛 …

Wideband direction-of-arrival (DOA) estimation is an important task for passive sonar signal
processing. Nowadays, sparse Bayesian learning (SBL) attracts much attention due to its …