Paper
15 October 2021 Task scheduling algorithm based on backtracking strategy for phased array radar
Yi Duan, Chang Liu, Zhiguo Qu, Jiancheng Zheng
Author Affiliations +
Proceedings Volume 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering; 1193323 (2021) https://doi.org/10.1117/12.2615175
Event: 2021 International Conference on Neural Networks, Information and Communication Engineering, 2021, Qingdao, China
Abstract
In the task scheduling problem of phased array radar, the scheduling algorithm based on time pointer is widely used because of its advantages such as high scheduling success rate and fine timeliness and so on. However, when the number of targets is small, the time shifting rate of this algorithm is too high to affect the tracking accuracy. For this question, a task scheduling algorithm based on backtracking strategy is proposed in this paper. Firstly, the time pointer is set up and selected the tasks which can be executable at the moment. When there is any tasks are selected, radar “backtracking” some tasks which have been scheduled and reschedule them. Finally, repeat the above steps until the end. Simulation results show that the scheduling algorithm based on backtracking strategy can reduce the time shifting rate significantly and without affecting the scheduling success rate. The effectiveness of the proposed algorithm is verified.
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Yi Duan, Chang Liu, Zhiguo Qu, and Jiancheng Zheng "Task scheduling algorithm based on backtracking strategy for phased array radar", Proc. SPIE 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering, 1193323 (15 October 2021); https://doi.org/10.1117/12.2615175
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KEYWORDS
Detection and tracking algorithms

Radar

Phased arrays

Aerospace engineering

Antennas

Computer simulations

Monte Carlo methods

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