Abstract
A multifunction phased array radar must search and track suspicious targets in its surveillance space in a real-time fashion. With inefficient scheduling implementations in many traditional systems, much radar resource is wasted with a very limited performance gain. This paper targets one of the most important issues in the design of modern phased array radars: real-time dwell scheduling. We formalize the typical workload of a modern phased array radar and propose a rate-based approach to schedule radar dwells in a real-time fashion. We show how to reserve radar resources to guarantee the minimum radar operation without sacrificing the stability of the system. The strength of our approach is verified by a series of simulation experiments based on a real phased array radar for air defense frigates [A. G. Huizing et al. (1996)]. A significant improvement in the performance of phased array radars was shown.
Highlights
A multifunction phased array radar must search for and track suspicious targets in its surveillance space in a real-time fashion
We show that real-time technology does improve radar performance significantly
The proposed Batch-TB can greatly improve the performance of a phased array radar by tracking over 116 percent more targets than the traditional Partial Template scheduling algorithm (PM) does [2], [9] and, at the same time, improving the capacity of High-Precision Track by over 40 percent, compared to that under Partial Template algorithm (PM)
Summary
A multifunction phased array radar must search for and track suspicious targets in its surveillance space in a real-time fashion. Many existing (or even advanced) phased array radar systems still adopt inefficient or even non-real-time resource scheduling mechanisms, such as those based on FIFO-like or cyclicexecutive-like scheduling algorithms [2]. Much resource is wasted with a very limited guarantee on system performance This observation underlines the motivation of this research and our implementation work for the next-generation phased array radar systems in Taiwan. The two most important issues in real-time dwell scheduling are addressed: 1) the minimum operation guarantee of phased array radars and 2) the system capacity estimation. We propose a rate-based approach to guarantee the minimum operation of a phased array radar and show that our approach can effectively schedule radar tasks with a good radar resource utilization.
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