Dwell scheduling of multifunction phased array radars based on genetic algorithm

Author

Cheng, Ting ; He, Zi-Shu ; Tang, Ting

Author_Institution

Univ. of Electron. Sci. & Technol., Chengdu

fYear

2007

fDate

Nov. 28 2007-Dec. 1 2007

Firstpage

846

Lastpage

849

Abstract

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.

Keywords

genetic algorithms; nonlinear programming; phased array radar; scheduling; dwell scheduling; genetic algorithm; multifunction phased array radars; nonlinear programming; scheduling gain; system time utility; Adaptive scheduling; Genetic algorithms; Interleaved codes; Optimal scheduling; Phased arrays; Radar antennas; Radar signal processing; Scheduling algorithm; Signal processing algorithms; Time factors; dwell scheduling; genetic algorithm; pulse interleaving; time and energy constraints;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-1447-5

Electronic_ISBN

978-1-4244-1447-5

Type

conf

DOI

10.1109/ISPACS.2007.4446020

Filename

4446020