DocumentCode :
3154094
Title :
Optimal sequential waveform design for cognitive radar
Author :
Huleihel, Wasim ; Tabrikian, Joseph ; Shavit, Reuven
Author_Institution :
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
2457
Lastpage :
2460
Abstract :
This paper addresses the problem of adaptive sequential waveform design for system parameter estimation. This problem arises in several applications such as radar, sonar, or tomography. In the proposed technique, the transmit/input signal waveform is optimally determined at each step, based on the measurements in the previous steps. The waveform is determined to minimize the Bayesian Cramér-Rao bound (BCRB) for estimation of the unknown system parameter at each step. The algorithm is tested for spatial transmit waveform design in multiple-input multiple-output radar target angle estimation at very low signal-to-noise ratio. The simulations show that the proposed adaptive waveform design achieves significantly higher rate of performance improvement as a function of the pulse index, compared to identical signal transmission.
Keywords :
MIMO radar; parameter estimation; waveform analysis; BCRB; Bayesian Cramer-Rao bound; adaptive sequential waveform design; cognitive radar; multiple-input multiple-output radar target angle estimation; pulse index; signal-to-noise ratio; spatial transmit waveform design; system parameter estimation; transmit-input signal waveform; waveform determination; Adaptation models; Bayesian methods; Estimation; Indexes; Optimization; Radar; Signal to noise ratio; Bayesian Cramér-Rao bound (BCRB); Cognitive radar (CR); Sequential waveform design; Waveform optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6288413
Filename :
6288413
Link To Document :
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