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http://dx.doi.org/10.5515/KJKIEES.2012.23.2.196

Stochastic Radar Beam Scheduling Using Simulated Annealing  

Roh, Ji-Eun (Agency for Defense Development)
Ahn, Chang-Soo (Agency for Defense Development)
Kim, Seon-Joo (Agency for Defense Development)
Jang, Dae-Sung (KAIST)
Choi, Han-Lim (KAIST)
Publication Information
Abstract
AESA radar is able to instantaneously and adaptively position and control the beam, and such adaptive beam pointing of AESA radar enables to remarkably improve the multi-mission capability, compared with mechanically scanned array radar. AESA radar brings a new challenges, radar resource management(RRM), which is a technique efficiently allocating finite resources, such as energy and time to each task in an optimal and intelligent way. Especially radar beam scheduling is the most critical component for the success of RRM. In this paper, we proposed stochastic radar beam scheduling algorithm using simulated annealing(SA), and evaluated the performance on the multi-function radar scenario. As a result, we showed that our proposed algorithm is superior to previous dispatching rule based scheduling algorithm from the viewpoint of beam processing latency and the number of scheduled beams, with real time capability.
Keywords
AESA Radar; Radar Resource Management; Stochastic Radar Beam Scheduling; Simulated Annealing;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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