Dynamic Adaptive Resource Scheduling for Phased Array Radar: Enhancing Efficiency through Synthesis Priorities and Pulse Interleaving

TL;DR

This paper presents a dynamic adaptive resource scheduling algorithm for phased array radar that improves efficiency and resource utilization by using synthesis priorities and pulse interleaving, addressing existing inefficiencies and subjectivity.

Contribution

The paper introduces a novel scheduling algorithm that combines synthesis priority design and pulse interleaving to enhance phased array radar performance.

Findings

Reduces time deviation ratios and scheduling failure rates.

Increases scheduling yield and time utilization ratios.

Enhances task scheduling flexibility and efficiency.

Abstract

To enhance the resource scheduling performance of phased array radar, we propose a dynamic adaptive resource scheduling algorithm based on synthesis priorities and pulse interleaving. This approach addresses the challenges of low efficiency, high loss ratios, and significant subjectivity in task assignment within phased array radar systems. We introduce a task synthesis priority design method that considers the working mode priority, deadlines, and time shift ratios. By implementing this method, we can increase the flexibility of task scheduling and improve the efficiency of radar processing tasks. Additionally, our proposed pulse interleaving method effectively utilizes the waiting periods between receiving and transmitting pulses to process other beams, thereby enhancing resource utilization. Simulation results demonstrate that the proposed scheduling algorithm significantly reduces time deviation ratios and scheduling failure rates while improving scheduling yield and time utilization ratios.