“…The whole simulation frame is established based on references [8,20,21]. In simulations, set t SI = 50 ms, P τ max = 1.25 kW, τ = 200 ms, t SI min = 25 ms, t SI max = 100 ms, S ex = 4.…”
Section: Computational Results and Analysismentioning
confidence: 99%
“…(i) The successful scheduling ratio (SSR), which is the ratio between the number of all successfully scheduled tasks N suc and that of all request tasks N total . The SSR [7,11,12,18,20,21,25,26] can be expressed as…”
A scheduling algorithm is presented aiming at the task scheduling problem in the phased array radar. Rather than assuming the scheduling interval (SI) time, which is the update interval of the radar invoking the scheduling algorithm, to be a fixed value, it is modeled as a fuzzy set to improve the scheduling flexibility. The scheduling algorithm exploits the fuzzy set model in order to intelligently adjust the SI time. The idle time in other SIs is provided for SIs which will be overload. Thereby more request tasks can be accommodated. The simulation results show that the proposed algorithm improves the successful scheduling ratio by 16%, the threat ratio of execution by 16% and the time utilization ratio by 15% compared with the highest task mode priority first (HPF) algorithm.
“…The whole simulation frame is established based on references [8,20,21]. In simulations, set t SI = 50 ms, P τ max = 1.25 kW, τ = 200 ms, t SI min = 25 ms, t SI max = 100 ms, S ex = 4.…”
Section: Computational Results and Analysismentioning
confidence: 99%
“…(i) The successful scheduling ratio (SSR), which is the ratio between the number of all successfully scheduled tasks N suc and that of all request tasks N total . The SSR [7,11,12,18,20,21,25,26] can be expressed as…”
A scheduling algorithm is presented aiming at the task scheduling problem in the phased array radar. Rather than assuming the scheduling interval (SI) time, which is the update interval of the radar invoking the scheduling algorithm, to be a fixed value, it is modeled as a fuzzy set to improve the scheduling flexibility. The scheduling algorithm exploits the fuzzy set model in order to intelligently adjust the SI time. The idle time in other SIs is provided for SIs which will be overload. Thereby more request tasks can be accommodated. The simulation results show that the proposed algorithm improves the successful scheduling ratio by 16%, the threat ratio of execution by 16% and the time utilization ratio by 15% compared with the highest task mode priority first (HPF) algorithm.
“…If there are available remaining radar resources, go to step (8); otherwise, go to step (9). (8) Calculate the number of search tasks that can be added based on the amount of remaining radar resources. Add the search tasks to the formal scheduling task request queue.…”
Section: Scheduling Strategy a Two-stage Scheduling Strategymentioning
confidence: 99%
“…Therefore, this paper considers mainly the time resource constraints of radar task scheduling. To quantify the effect of the task overlap on the objective function when the radar task competes for the same time slot, the penalty function is introduced into the objective function, and the penalty function is calculated as shown in formula (8). The quantization function of the task dwell overlap time is taken as the probability density function of the unilateral normal distribution.…”
“…According to the threat level of the target, references [6], [7] used a three-way decision method to divide the target into threat targets, nonthreat targets, and potential threat targets, and set different dwell times for each type of target to improve the time resource utilization rate of radar task scheduling. References [8]- [10] made full use of the waiting period between the transmitting pulse and receiving pulse of the phased-array radar, and designed a pulse interleaving scheduling algorithm, which improves the time resource utilization and scheduling success rate of the radar. Reference [11] pointed out that in the process of multitarget tracking, there is a linear relationship between the emission energy of the radar and the dwell time, and the nonconvex optimization problem of energy and time distribution can be transformed into a standard convex optimization problem.…”
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