Efficient reduction of data storage for correlative target recognition using impulse radar

We propose a novel method using impulse radar to reduce computer resources and improve the accuracy of reconstructed signals for correlative target re cognition. Our method employs discrete wavelet transform and principal comp onent analysis. Simulation results show that the proposed method can improv e the accuracy of reconstructed signals and also reduce data storage consid erably. We also show that the accuracy of the reconstructed signals enhance s the performance of correlative target recognition.