Results 71 to 80 of about 12,985 (190)
Enhanced off-grid DOA estimation by corrected power Bayesian inference using difference coarray
The Journal of Engineering, 2019 Sparse Bayesian inference for on-grid direction-of-arrival (DOA) estimation using difference coarray was investigated in the authors’ previous work to estimate more signal sources than the number of physical antenna elements. Sparse Bayesian inference is
Yanan Ma, Xianbin Cao, Xiangrong Wang
doaj +1 more source
Loop Matching Pursuit Multistation TDOA Estimation Method Based on Noncircular Signal
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.The existing TDOA estimation methods based on orthogonal matching pursuit only consider the scenario of circular signal and are prone to the degradation of estimation performance due to atom misselection under small samples and low signal‐to‐noise ratio.
Zeyu Wang +3 more
wiley +1 more source
Multiple Snapshot Matching Pursuit For Direction Of Arrival (Doa) Estimation
, 2007 Publication in the conference proceedings of EUSIPCO, Poznan, Poland ...
openaire +1 more source
A combined BP‐MF algorithm for wideband off‐grid DOA estimation with DP prior
Electronics Letters, 2022 Direction‐of‐arrival (DOA) estimation based on sparse Bayesian learning (SBL) framework has attracted extensive attention. The accuracy of on‐grid DOA estimation is restricted by the prescribed grid, while off‐grid approaches resolves the problem of grid
Mengge Li +3 more
doaj +1 more source
Adversarial Attack Detection in Federated Learning Using Quantum Recurrent Neural Network
Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.Adversarial attacks in network systems manipulate data to deceive networks, impacting domains like image recognition and natural language processing. Attackers exploit algorithm weaknesses, creating misleading inputs that lead to inaccurate outcomes.
Venkat R. +7 more
wiley +1 more source
Gridless Two-dimensional DOA Estimation With L-shaped Array Based on the Cross-covariance Matrix
, 2017 The atomic norm minimization (ANM) has been successfully incorporated into the two-dimensional (2-D) direction-of-arrival (DOA) estimation problem for super-resolution.
Wu, Xiaohuan, Yan, Jun, Zhu, Wei-Ping
core +1 more source
A Sum-of-Squares and Semidefinite Programming Approach for Maximum Likelihood DOA Estimation
Sensors, 2016 Direction of arrival (DOA) estimation using a uniform linear array (ULA) is a classical problem in array signal processing. In this paper, we focus on DOA estimation based on the maximum likelihood (ML) criterion, transform the estimation problem into a ...
Shu Cai, Quan Zhou, Hongbo Zhu
doaj +1 more source
Explainable Optimized LSTM Model for Sustainable Wind Power Forecasting in Smart Cities
International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.Accurate wind‐power forecasting is essential for the successful integration of renewable energy into smart city grids. Traditional long short‐term memory (LSTM) networks face significant challenges in parameter optimization, leading to suboptimal forecasting performance.
Abdulaziz Shehab +4 more
wiley +1 more source
Direction-of-Arrival Estimation of Virtual Array Signals Based on Doppler Effect
International Journal of Distributed Sensor Networks, 2015 The estimation accuracy of direction-of-departure (DOD) and direction-of-arrival (DOA) is reduced because of Doppler shifts caused by the high-speed moving sources.
Feng Zhao, Xia Hao, Hongbin Chen
doaj +1 more source
Battery Energy, Volume 4, Issue 6, November 2025.The growing industrial and technological advancements, along with increasing population, continuously drive up energy consumption. This study examines the development of a Hybrid Energy Storage System consisting of a lithium‐ion battery and supercapacitor integrated with solar energy, highlighting the system's potential to effectively meet the energy ...
Zeynep Tüfek, Emrah Çetin
wiley +1 more source