An Adaptive Radar Resource Scheduling Algorithm for ISAR Imaging Based on Step-Frequency Chirp Signal Optimization

摘要

An adaptive ISAR-imaging-considered task scheduling algorithm for multi-function phased array radars is important to maximizing the overall performance of radar. However, most of the existing resource allocation method only considered the allocation of resource with slow-time dimension, which did not schedule the resource with fast-time dimension. Therefore, a novel radar resource scheduling algorithm is proposed in this paper, which can realize the resource allocation with slow-time dimension and fast-time dimension together. What's more, the pulse interleaving technology is utilized to improve the radar performance further. The effectiveness of the proposed method is verified by simulations.