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A Method of Waveform Design Based on Multi Eigen-Subspace |
Jiu Bo; Liu Hong-wei; He Xue-hui; Wu Shun-jun |
National Lab of Radar Signal Processing, Xidian University, Xi'an 710071, China |
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Abstract Considering issue of target-aspect sensitivities in the waveform design for the recognition of broadband radar targets, a novel method termed Multi Eigen-Subspace (MES) is proposed in the additional of colored noise. The optimization is done via selecting a lot of eigenvectors which can represent the difference between the echoes of different classes of target in all aspect adequately and spanning them to several eigen-subspaces, then the optimized waveform will be obtained by mapping the desired waveform to those eigen-subspaces. The experimental results prove the efficiency of the proposed method. Compared to the available approaches, the MES waveform helps to increase the class separability and obtain the better performance.
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Received: 03 November 2008
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