Results 21 to 30 of about 304 (132)
Adaptive Beamforming for Sparse Array Based on Semi-Definite Programming
An adaptive beamforming (ABF) technique for sparse receiving arrays with gain/phase uncertainties is proposed. The basic idea of the proposed method is using the compressed sensing theory to estimate directions and amplitudes of the received signals with
Bin Hu +4 more
doaj +1 more source
This paper develops a collaborative trajectory planning and resource allocation (CTPRA) strategy for multi-target tracking (MTT) in a spectral coexistence environment utilizing airborne radar networks.
Chenguang Shi +4 more
doaj +1 more source
The work presented in this paper concerns with analysis and synthesis of the two-dimensional (2D) digital systems based on model order reduction, and application to the 2D-digital filters.
Lahcène Mitiche +1 more
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Complex Semi-Definite Programming (SDP) is introduced as a novel approach to phase retrieval enabled control of monochromatic light transmission through highly scattering media.
Moussa N’Gom +5 more
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In this paper, the target node localization problems based on hybrid RSS-AOA measurements in both noncooperative and cooperative three-dimensional (3-D) wireless sensor networks (WSNs) are discussed.
Qinke Qi +5 more
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Beamformer Design With Smooth Constraint-Free Approximation in Downlink Cloud Radio Access Networks
It is known that data rates in standard cellular networks are limited due to inter-cell interference. An effective solution of this problem is to use the multi-cell cooperation idea.
Fehmi Emre Kadan, Ali Ozgur Yilmaz
doaj +1 more source
In this paper, a novel framework for the estimation of optimal investment strategies for combined wind-thermal companies is proposed. The medium-term restructured power market was simulated by considering the stochastic and rational uncertainties, the ...
Mohammad Tolou Askari +3 more
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Distributed Optimization of Finite Condition Number for Laplacian Matrix in Multi‐Agent Systems
ABSTRACT This paper addresses the distributed optimization of the finite condition number of the Laplacian matrix in multi‐agent systems. The finite condition number, defined as the ratio of the largest to the second smallest eigenvalue of the Laplacian matrix, plays an important role in determining the convergence rate and performance of consensus ...
Yicheng Xu, Faryar Jabbari
wiley +1 more source
In this paper, we investigate a simultaneous proactive eavesdropping and communication system, where a cooperative multi-antenna base station (BS) works with a legitimate eavesdropper (E) to serve multiple communication users (CUs), while simultaneously ...
Jiacheng Liao +4 more
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The paper addresses the optimal control and stabilization problems for the indefinite discrete-time mean-field system over infinite horizon. Firstly, we show the convergence of the generalized algebraic Riccati equations (GAREs) and establish their ...
Teng Song, Bin Liu
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