Results 31 to 40 of about 75,438 (278)
Blind channel equalization using weighted subspace methods [PDF]
, 1999 This paper addresses the problems of blind channel estimation and symbol detection with second order statistics methods from the received data. It can be shown that this problem is similar to direction of arrival (DOA) estimation, where many solutions ...
Cabrera-Bean, Margarita +1 more
core +1 more source
Radioactive Direction of Arrival Estimation Using Neural Networks Approach [PDF]
EPJ Web of Conferences, 2023 In this paper, we present a comprehensive investigation into improving Direction of Arrival (DOA) estimation for gamma-emitting isotopes using deep neural networks.
Salomon Yossi +5 more
doaj +1 more source
Modelling Aspects of Planar Multi-Mode Antennas for Direction-of-Arrival Estimation [PDF]
, 2019 Multi-mode antennas are an alternative to classical antenna arrays, and hence a promising emerging sensor technology for a vast variety of applications in the areas of array signal processing and digital communications. An unsolved problem is to describe
Almasri, Sami Alkubti +4 more
core +2 more sources
Tracking Positioning Algorithm for Direction of Arrival Based on Direction Lock Loop
Future Internet, 2015 In order to solve the problem of poor real-time performance, low accuracy and high computational complexity in the traditional process of locating and tracking of Direction of Arrival (DOA) of moving targets, this paper proposes a DOA algorithm based on ...
Xiu-Zhi Cheng +3 more
doaj +1 more source
Design of sparse arrays via deep learning for enhanced DOA estimation
EURASIP Journal on Advances in Signal Processing, 2021 This paper introduces an enhanced deep learning-based (DL) antenna selection approach for optimum sparse linear array selection for direction-of-arrival (DOA) estimation applications.
Steven Wandale, Koichi Ichige
doaj +1 more source
Robust direction of arrival estimation in non-Gaussian noise [PDF]
, 1998 Cataloged from PDF version of article.In this correspondence, a nonlinearly weighted least-squares method is developed for robust modeling of sensor array data.
Cadzow, J. A. +2 more
core +1 more source
Adaptive Beamforming Approaches to Improve Passive Radar Performance in Sea and Wind Farms’ Clutter
Sensors, 2022 This article presents the problem of passive radar vessel detection in a real coastal scenario in the presence of sea and wind farms’ clutter, which are characterised by high spatial and time variability due to the influence of weather conditions ...
Javier Rosado-Sanz +3 more
doaj +1 more source
Direction-of-arrival estimation for constant modulus signals
IEEE Transactions on Signal Processing, 1999 In many cases where direction finding is of interest, the signals impinging on an antenna array are known to be phase modulated and, hence, to have a constant modulus (CM). This is a strong property; by itself, it is already sufficient for source separation and can be used to construct improved direction finding algorithms. We first derive the relevant
Leshem, A. (author) +1 more
openaire +5 more sources
Amplitude Only Direction of Arrival Estimation
2023 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC), 2023 In this manuscript, we present a novel hardware concept for the estimation of the direction of arrival of electro-magnetic signals. An arrangement of two patch antenna arrays, tilted with respect to each other, is used to create a monotonic relationship between the DoA and the received power difference between both arrays.
MacHado, Gabriel G. +3 more
openaire +2 more sources
Off-grid Direction of Arrival Estimation Using Sparse Bayesian Inference
, 2012 Direction of arrival (DOA) estimation is a classical problem in signal processing with many practical applications. Its research has recently been advanced owing to the development of methods based on sparse signal reconstruction.
Xie, Lihua, Yang, Zai, Zhang, Cishen
core +1 more source