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
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;
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
DOI :
10.1109/CAMSAP.2013.6714009