Results 21 to 30 of about 13,266 (201)
Source power estimation for array processing applications under low sample size constraints [PDF]
, 2007 Copyright © 2008 IEEE. All Rights Reserved.This paper proposes a new power estimation technique for array processing applications in the low sample size regime.
Abramovich, Yuri +2 more
core +1 more source
Underwater Ambiguity Elimination Method Based on Co-Prime Sensor Array
Sensors, 2020 Recently, the direction of arrival estimation with co-prime arrays has gradually been applied in underwater scenarios because of its significant advantages over traditional uniform linear arrays.
Tian Lan, Yilin Wang, Longhao Qiu
doaj +1 more source
A Low-Complexity Method for Two-Dimensional Direction-of-Arrival Estimation Using an L-Shaped Array
Sensors, 2017 In this paper, a new low-complexity method for two-dimensional (2D) direction-of-arrival (DOA) estimation is proposed. Based on a cross-correlation matrix formed from the L-shaped array, the proposed algorithm obtains the automatic pairing elevation and ...
Qing Wang +4 more
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Deep Unfolded Gridless DOA Estimation Networks Based on Atomic Norm Minimization
Remote Sensing, 2022 Deep unfolded networks have recently been regarded as an essential way to direction of arrival (DOA) estimation due to the fast convergence speed and high interpretability. However, few consider gridless DOA estimation.
Hangui Zhu +4 more
doaj +1 more source
Cdma blind channel equalization: a weighted subsface a proach [PDF]
, 1999 This paper considers the problem of blind demodulation of multiuser information symbols in a direct-sequence code-division multiple access (DS-CDMA) environment. Channel estimation and symbol detection in the presence of both multiple access interference
Cabrera-Bean, Margarita +1 more
core +1 more source
International Journal of Antennas and Propagation, 2015 A novel compressive sensing- (CS-) based direction-of-arrival (DOA) estimation algorithm is proposed to solve the performance degradation of the CS-based DOA estimation in the presence of sensing matrix mismatching. Firstly, a DOA sparse sensing model is
Hongtao Li, Chaoyu Wang, Xiaohua Zhu
doaj +1 more source
EURASIP Journal on Wireless Communications and Networking, 2019 The acoustic vector sensor (AVS) array is a powerful tool for underwater target’s direction-of-arrival (DOA) estimation without any bearing ambiguities.
Yu Ao, Ling Wang, Jianwei Wan, Ke Xu
doaj +1 more source
Grid-free compressive beamforming [PDF]
, 2015 The direction-of-arrival (DOA) estimation problem involves the localization of a few sources from a limited number of observations on an array of sensors, thus it can be formulated as a sparse signal reconstruction problem and solved efficiently with ...
Gerstoft, Peter, Xenaki, Angeliki
core +2 more sources
A Priori-Based Subarray Selection Algorithm for DOA Estimation
Sensors, 2020 A finer direction-of-arrival (DOA) estimation result needs a large and dense array; it may, however, encounter the mutual coupling effect, which degrades the performance of DOA estimation.
Linghao Zeng +2 more
doaj +1 more source
A Joint Audio-Visual Approach to Audio Localization [PDF]
, 2015 Localization of audio sources is an important research problem, e.g.,to facilitate noise reduction. In the recent years, the problem hasbeen tackled using distributed microphone arrays (DMA).
Christensen, Mads Græsbøll +1 more
core +2 more sources