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Synthesizing task periods for dwells in multi-function phased array radars (2004)
| Content Provider | CiteSeerX |
|---|---|
| Author | Shih, Chi-Sheng Ganti, Phanindra Gopalakrishnan, Sathish Caccamo, Marco Sha, Lui |
| Description | This paper addresses the problem of scheduling radar dwells in multi-function phased array radar systems. The timing constraint of radar tasks are usually modeled by the minimal and maximal temporal distance between any two consecutive dwells of a task. Such a timing constraint makes it difficult for traditional real-time scheduling techniques to provide predicatable timing guarantee, without over-consuming the resources. We propose a novel approach to model the dwells as periodic real-time tasks. The periods of the tasks are synthesized by the minimal and maximal temporal distance constraint of the dwells. The synthetic periods allow the template-based scheduling algorithm to compute efficient dwell schedules with low overhead. We evaluate the algorithms via extensive simulations. Simulation results show that this algorithm can significantly improve the resource utilization, comparing with traditional dwell scheduling algorithms. 1 |
| File Format | |
| Language | English |
| Publisher Date | 2004-01-01 |
| Publisher Institution | In Proceedings of the IEEE Radar Conference |
| Access Restriction | Open |
| Subject Keyword | Multi-function Phased Array Radar System Multi-function Phased Array Radar Low Overhead Novel Approach Radar Task Maximal Temporal Distance Consecutive Dwells Template-based Scheduling Algorithm Resource Utilization Efficient Dwell Schedule Extensive Simulation Traditional Real-time Scheduling Technique Synthetic Period Maximal Temporal Distance Constraint Task Period Periodic Real-time Task Simulation Result Timing Constraint Predicatable Timing Guarantee Radar Dwells Traditional Dwell |
| Content Type | Text |
| Resource Type | Article |
