Title :
Optimal Adaptive Waveform Selection Based on ADP in Cognitive Radar
Author :
Wang, Bin ; Wang, Jinkuan ; Song, Xin ; Han, Yinghua
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fDate :
March 31 2009-April 2 2009
Abstract :
Cognitive radar is a new framework radar system proposed in 2003 and waveform selection is an important problem in this type of radar. In this paper, we design a knowledged-based (KB) waveform selector and use stochastic dynamic programming model to describe waveform selection problem. To solve the problem of curses of dimensionality, we use approximate dynamic programming (ADP) in our solution. This method is operative and efficient.
Keywords :
dynamic programming; radar applications; ADP method; approximate dynamic programming; cognitive radar; knowledged-based waveform selector; optimal adaptive waveform selection; stochastic dynamic programming model; Adaptive scheduling; Data processing; Dynamic programming; Radar signal processing; Radar tracking; Signal processing; Signal processing algorithms; Stochastic processes; Target tracking; Wireless sensor networks;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.828
