Today, with the progress in radar systems and the need for high accuracy, managing radar resources has become one of the key challenges in this field. Among the radar resources, time is one of the most important. It must be managed to respond to threats in time and prevent the interference of coupled tasks. The increasing need for speed and accuracy in radar systems and time constraints have necessitated timing in multi-function phased array radars. The present research introduces key innovations to solve existing research gaps in radar timing. The first innovation of the study is the application of a comprehensive time perspective that allows the radar to postpone the sending of pulses to the current horizon and the reception of reflections to the future horizons, unlike cross-sectional approaches that only focus on one horizon. Also, this research investigates the update of tracking targets in two regular and irregular modes. It considers this problem in a combined way by defining a threshold of crisis conditions in the problem. Mixed integer programming models are presented for each tracking mode. Other research innovations include eva‎luating models in large dimensions and analyzing the effect of radar load on scheduler, which was less considered in previous studies. In this research, the targets will be intercepted by presenting a combined approach according to the radar load. The proposed models are designed to focus on minimizing the costs of rejecting the coupled task and the maximum time of completing the coupled task. They have been tested on the samples produced based on the real parameters of the radar in MATLAB software. Due to the complexities of mathematical models, four innovative algorithms have been developed, including GCDRA, CDRAF, RCPT-2F, and PCDRAF. These algorithms have been designed by focusing on different dimensions of the problem, maximizing the use of the time horizon and specific operational conditions, and in calculation time, while maintaining quality, they have shown a significant improvement compared to mathematical models. The results obtained from tests and eva‎luations show the appropriate performance of each algorithm in its conditions. These algorithms have been eva‎luated over more than 15300 horizons, and their proper performance has been shown.

محمد رئيسي نافچي

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قاسم مصلحي , حسين خسروشاهي