Abstract
The information-theoretic waveform for target classification based on spectral variance has been studied, and its advantages have been shown. The waveform design algorithm has a low computational load and can be applied to real-time applications. In looking for more sophisticated methods while keeping the advantages of an information-based approach, a new design algorithm by deriving a strict lower bound of the information measure is developed. The proposed design algorithm requires a small amount of calculation and shows better classification performance in terms of percentage of correct detection. The proposed method is compared with other methods, and the improved performance is shown in numerically generated graphs.
Published Version
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