Dwell scheduling of multifunction phased array radars based on genetic algorithm

A dwell scheduling model which takes the time and energy constraints into account is founded from the viewpoint of scheduling gain. Dwell scheduling strategy design is turned into a nonlinear programming procedure. A dwell scheduling algorithm is then given based on the genetic algorithm. Simulation...

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Bibliographische Detailangaben
Hauptverfasser:	Ting Cheng, Zi-shu He, Ting Tang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptive scheduling dwell scheduling genetic algorithm Genetic algorithms Interleaved codes Optimal scheduling Phased arrays pulse interleaving Radar antennas Radar signal processing Scheduling algorithm Signal processing algorithms time and energy constraints Time factors
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Beschreibung
Zusammenfassung:	A dwell scheduling model which takes the time and energy constraints into account is founded from the viewpoint of scheduling gain. Dwell scheduling strategy design is turned into a nonlinear programming procedure. A dwell scheduling algorithm is then given based on the genetic algorithm. Simulation results demonstrate that compared with the conventional adaptive scheduling method, the proposed algorithm not only increases the scheduling gain and the time utility of the system but also decreases the task drop rate.
DOI:	10.1109/ISPACS.2007.4446020