Abstract
The problem dealt with in this paper is the design of a parallel embedded system with the minimal number of processors. The system is designed to solve signal processing tasks using data collected from antenna arrays. Simulated annealing algorithm is used to find the minimal number of processors and the optimal system configuration.
Highlights
Antenna array is hardware used to collect data from the environment, it is often employed in areas such as radiolocation and hydroacoustics [1]
The codesign problem of finding the minimal necessary number of processors and scheduling the signal processing tasks on it arises in this relation
This paper suggests the application of simulated annealing algorithm to this problem
Summary
Antenna array is hardware used to collect data from the environment, it is often employed in areas such as radiolocation and hydroacoustics [1]. The size of the antenna array is limited, in order to maintain high accuracy, algorithms with significant computational cost have to be used to process signals. The purpose of this work is to show how the simulated annealing algorithm (discussed, for instance, in [2] and [3]) can work with realworld industrial problems. It is explained how this problem can be formulated in the way that allows to use simulated annealing.
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