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| A Method of Waveform Design for the Recognition of Radar Targets |
| Jiu Bo; Liu Hong-wei; Hu Li-ping; Wu Shun-jun |
| National Lab of Radar Signal Processing, Xidian University, Xi'an 710071, China |
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Abstract Aiming at the problems of the target-aspect sensitivities, the time-shift sensitivities and the initial phase uncertainty in the waveform design for the recognition of broadband radar targets, a novel method termed GASC (Genetic Algorithm and Slide Correlation method) is proposed which is based on genetic algorithm and slide correlation classifier in the presence of additive colored Gaussian noise. This method gives a new optimization measurement called matched distance which is defined as the matched coefficient between the echoes and the templates of same class of target minus the matched coefficient between the echoes and the templates of different class of target, and the optimization is done via maximizing the minimal matched distance of all kinds of target with the constraint that the magnitude of the transmit pulse is constant. Using genetic algorithm, the optimized waveform is obtained. The experimental results prove the efficiency of the proposed method. Compared to the available approaches, the GASC can increase the class separability and obtain the better performance.
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Received: 03 November 2008
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2009, Vol. 31 
