Loading...
Search for:
sample-distributions
0.009 seconds
Iterative block-sparse recovery method for distributed MIMO radar
, Article 2016 Iran Workshop on Communication and Information Theory, IWCIT 2016, 3 May 2016 through 4 May 2016 ; 2016 ; 9781509019229 (ISBN) ; Azghani, M ; Tayefi, J ; Marvasti, F ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2016
Abstract
In this paper, an iterative method for block-sparse recovery is suggested for target parameters estimation in a distributed MIMO radar system. The random sampling has been used as the sensing scheme in the receivers. The simulation results prove that the proposed method is superior to the other state-of-the-art techniques in the accuracy of the target estimation task. © 2016 IEEE
Distribution system efficiency improvement by reconfiguration and capacitor placement using a modified particle swarm optimization algorithm
, Article EPEC 2010 - IEEE Electrical Power and Energy Conference: "Sustainable Energy for an Intelligent Grid", 25 August 2010 through 27 August 2010 ; August , 2010 ; 9781424481880 (ISBN) ; Vakilian, M ; Sharif University of Technology
2010
Abstract
Capacitor placement/setting is one of the main means for loss reduction and voltage profile improvement in distribution systems. If capacitor placement is meant, the objective function will be the cost of energy losses besides the capacitors costs in a specified period of time. Here, reconfiguration can be used as a strategy to reform the base configuration of the distribution network in order to place the capacitors more efficiently with lower costs. On the other hand, if capacitors are already available in a network, optimum capacitors setting and network reconfiguration should be performed for power loss minimization. In this paper both power loss minimization and capacitor placement cost...