Augmented coarrays can be derived from spatially undersampled signals of sparse arrays
for underdetermined direction-of-arrival (DOA) estimation. With the extended dimension of …

One-bit quantization, which relies on comparing the signals of interest with given threshold
levels, has attracted considerable attention in signal processing for communications and …

Underwater acoustic localization has traditionally been challenging due to the presence of
unknown environmental structure and dynamic conditions. The problem is richer still when …

卷积混叠环境下的盲源分离(Blind source separation, BSS) 是一个极具挑战性和实际意义的
问题. 本文在独立分量分析框架下, 建立非负矩阵分解(Nonnegative matrix factorization, NMF) …

Nested acoustic vector sensor (AVS) arrays have attracted growing interest, and their
performance can be further improved by assembling AVSs with spatially separated (SS) …

Remote passive sonar detection with underwater acoustic vector sensor (UAVS) has
attracted increasing attention due to its merit in measuring the full sound field information …

In this paper, an elevation-azimuth direction finding algorithm with the use of a pair of
identically oriented acoustic vector sensors, which can be arbitrarily deployed at unknown …

Covariance fitting (CF) is a comprehensive approach for direction of arrival (DoA) estimation,
consolidating many common solutions. Standard practice is to use Euclidean criteria for CF …

Underdetermined blind DOA estimation for linear arrays without the prior knowledge of array
configuration is a challenging problem. Two methods are proposed to solve this problem …

Underwater acoustic vector sensors (UAVSs) are increasingly utilized for remote passive
sonar detection, but the accuracy of direction-of-arrival (DOA) estimation remains a …