DocumentCode
2923005
Title
Adaptive waveform design for target enumeration in cognitive radar
Author
Tabrikian, Joseph
Author_Institution
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
fYear
2013
fDate
15-18 Dec. 2013
Firstpage
69
Lastpage
72
Abstract
In this paper, the problem of sequential waveform design for target enumeration for cognitive multiple-input single-output (MISO) radar is investigated. In the proposed technique, the transmit spatial waveform is adaptively determined at each step based on observations in the previous steps. The waveform is determined to minimize an approximated lower bound on the average sample number (ASN) required to achieve given error rates. The algorithm is tested via simulations and shown to exhibit superior performance compared to orthogonal waveform transmission.
Keywords
adaptive signal processing; radar signal processing; target tracking; MISO radar; adaptive waveform design; average sample number; cognitive radar; lower bound approximation; multiple input single output radar; sequential waveform design; target enumeration; Adaptation models; Arrays; Covariance matrices; MIMO radar; Optimization; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 IEEE 5th International Workshop on
Conference_Location
St. Martin
Print_ISBN
978-1-4673-3144-9
Type
conf
DOI
10.1109/CAMSAP.2013.6714009
Filename
6714009
Link To Document