Zobrazeno 1 - 10
of 2 068
pro vyhledávání: '"direction of arrival (DOA) estimation"'
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 42, Iss 2, Pp 362-367 (2024)
The L-band digital aeronautical communication system (LDACS) is one of the essential infrastructures for future aviation broadband communication. To address the problem of interference from adjacent high-power distance measuring equipment (DME) signa
Externí odkaz:
https://doaj.org/article/8e780e6b55a34371923924481158c573
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 5, Pp 643-657 (2024)
This article aims to constitute a noteworthy contribution to the domain of direction-of-arrival (DoA) estimation through the application of deep learning algorithms. We approach the DoA estimation challenge as a binary classification task, employing
Externí odkaz:
https://doaj.org/article/f4717cfa40ef4bc6bbd9876328f739c4
Autor:
Haya Al Kassir, Nikolaos V. Kantartzis, Pavlos I. Lazaridis, Panagiotis Sarigiannidis, Sotirios K. Goudos, Christos G. Christodoulou, Zaharias D. Zaharis
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 5, Iss 2, Pp 460-473 (2024)
The main objective of this work is to improve and evaluate the effectiveness of the neural network (NN) architecture in the domain of estimation of direction of arrival (DOA), with an emphasis on a multi-class classification task with grid resolution
Externí odkaz:
https://doaj.org/article/32454078fb7a4f398d0341d13c3389bb
Autor:
Ruizhi Niu, Zhenyu Zhang
Publikováno v:
IEEE Access, Vol 12, Pp 36942-36950 (2024)
This article introduces an innovative method to improve the accuracy of estimating the Direction of Arrival (DOA) by utilizing non-uniform linear arrays (NULAs) operating at harmonic frequencies. Common DOA techniques face challenges in maintaining s
Externí odkaz:
https://doaj.org/article/fd540f3546844a0586a599318fd8c548
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 493-502 (2024)
Most of the existing direction of arrival (DOA) estimation methods in impulsive noise scenario are based on the fractional low-order moment statistics (FLOSs), such as the robust covariation-based (ROC), fractional low-order moment (FLOM), and phased
Externí odkaz:
https://doaj.org/article/1b65d786ffc446f2aa57f740cd61c929
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3752 (2024)
Gridless direction of arrival (DOA) estimation methods have garnered significant attention due to their ability to avoid grid mismatch errors, which can adversely affect the performance of high-resolution DOA estimation algorithms. However, most exis
Externí odkaz:
https://doaj.org/article/f8d08d3c5892430b83e0157e58f474d1
Autor:
Pan Gong, Xiaofei Zhang
Publikováno v:
Sensors, Vol 24, Iss 19, p 6205 (2024)
In this paper, the direction of arrival (DOA) estimation problem for the unfolded coprime linear array (UCLA) is researched. Existing common stacking subarray-based methods for the coprime array are invalid in the case of its subarrays, which have th
Externí odkaz:
https://doaj.org/article/b26120a02ab648ea9041cef82b3d73bf
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3140 (2024)
In direction-of-arrival (DOA) estimation with sensor arrays, the background noise is usually modeled to be uncorrelated uniform white noise, such that the related algorithms can be greatly simplified by making use of the property of the noise covaria
Externí odkaz:
https://doaj.org/article/36c03f2ec0164b5881d5b00d0a94b8f9
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-14 (2023)
Abstract As massive MIMO is a key technology in the future sixth generation (6G), the large-scale antenna arrays are widely considered in direction-of-arrival (DOA) estimation for they can provide larger aperture and higher estimation resolution. How
Externí odkaz:
https://doaj.org/article/6ac3217da93a4764ac163c428e71a3b3
Publikováno v:
Remote Sensing, Vol 16, Iss 10, p 1802 (2024)
Underwater acoustic vector sensors (UAVSs) are increasingly utilized for remote passive sonar detection, but the accuracy of direction-of-arrival (DOA) estimation remains a challenging problem, particularly under low signal-to-noise ratio (SNR) condi
Externí odkaz:
https://doaj.org/article/fe54325abe1b492e8537b0bb91d6e825