DocumentCode
2324395
Title
Stochastic dynamic programming model of adaptive waveform selection
Author
Wang, Bin ; Wang, Jinkuan ; Song, Xin ; Cai, Ling
Author_Institution
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear
2010
fDate
10-12 April 2010
Firstpage
267
Lastpage
272
Abstract
In cognitive radar, it is very important to select proper waveform to transmit according to different environment. The adaptivity of waveform corresponding to environment can be realized in many ways. In this paper, stochastic dynamic programming model of adaptive waveform selection is proposed. With this model, dynamic programming algorithms can be used to solve the problems of adaptive waveform selection. The necessity of adaptive waveform selection has been shown with simulations. Finally, the whole paper is summarized.
Keywords
adaptive signal processing; dynamic programming; radar signal processing; stochastic programming; adaptive waveform selection; cognitive radar; stochastic dynamic programming model; Acceleration; Dynamic programming; Heuristic algorithms; Interference; Radar measurements; Radar theory; Radar tracking; Stochastic processes; Surveillance; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking, Sensing and Control (ICNSC), 2010 International Conference on
Conference_Location
Chicago, IL
Print_ISBN
978-1-4244-6450-0
Type
conf
DOI
10.1109/ICNSC.2010.5461485
Filename
5461485
Link To Document