A method of waveform design based on multi- eigenvecor selection

Cognitive radar is a newly proposed radar system, which may adaptively and intelligently interrogate a propagation channel using all available knowledge including previous measurements. Thanks to a great important role of the adaptive waveform design technique in cognitive radar, it receives much more attention in the near future. However, due to the existence of aspect uncertainty and sensitivity characteristic of the target´s impulse response, it is difficult to adaptively design waveform for target recognition task, which also often leads to the available approaches ineffective. In order to solve the problem, a new method termed Multi-Eigenvector Selection is proposed in the presence of additive Gaussian coloured noise (AGCN) in this paper, which optimizes via selecting multi-eigenvector and tries to improve the separability effectively. Experimental results prove the efficiency of the proposed method compared to the existing methods.