Ali Jabar Rashidi

Work place: Vice-chancellor for Research and Technology, Malek Ashtar University of Technology, Tehran, Iran



Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Systems Architecture, Data Structures and Algorithms


Ali Jabar Rashidi received M.A. and Ph.D. degrees from the Tarbiat Modares University in Tehran, Iran in 1997 and 2002, respectively, both in Communication System Engineering. Currently, he is engaged in research and teaching on information fusion, distributed processing, C4I, array sensors and systems, and communications networks.

Author Articles
Fusion-Based Sensor Selection for Optimal State Estimation and Minimum Cost (Intelligent Optimization Approach)

By Saeed Mohammadloo Ali Jabar Rashidi

DOI:, Pub. Date: 8 Apr. 2012

This paper proposes a heuristic method for the sensor selection problem that uses a state vector fusion approach as a data fusion method. We explain the heuristic to estimate a stationary target position. Given a first sensor with specified accuracy and by using genetic algorithm, the heuristic selects second sensor such that the fusion of two sensor measurements would yield an optimal estimation in a target localization scenario. Optimality in our method means that a trade-off between estimation error and cost of sensory system should be created. The heuristic also investigates the importance of proportion between the range and bearing measurement accuracy of selected sensor. Monte Carlo Simulation results for a target position estimation scenario showed that the error in heuristic is less than the estimate error where sensors are used alone for estimation, while considering the trade-off between cost and accuracy.

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