Radar target HRRP recognition based on reconstructive and discriminative dictionary learning
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文摘

The reconstructive and discriminative power of atom is considered during the update.

We construct an objective function based on SRC criterion.

Sparse coding coefficients of samples are updated using class-optimal SVD vectors.

RDDLSRCC is more robust to the variation of target aspect and noise׳ effect.

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