Task Scheduling Design of Phased Array Radar Based on Fuzzy Neural Network

doi:10.3969/j.issn.1000-1093.2016.11.007

Abstract

Abstract: As the task scheduling of phased array radar is a complex nonlinear optimization process, a mathematical model is difficult to be established for task priority, which may affect the efficiency of task scheduling. A phased array radar task scheduling algorithm is proposed based on self-adaptive fuzzy neural network. The proposed scheduling algorithm has neural network autonomous learning ability and fuzzy control capacity for dealing with uncertain information. The simulated result shows that the method is effective. The method can be used to schedule and implement more tasks while scheduling the tasks with higher priority under the condition of saturated object number.

Key words: ordnance science and technology, neural network, fuzzy theory, phased array radar, priority, task scheduling

CLC Number:

TN958.92

ZHENG Yu-jun， TIAN Kang-sheng， ZHANG Jin-lin， LIU Jun-kai. Task Scheduling Design of Phased Array Radar Based on Fuzzy Neural Network[J]. Acta Armamentarii, 2016, 37(11): 2010-2014.

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