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| Subband Implementation for Wideband Radar Clutter Suppression and Target HRRP Enhancement on the Principle of Maximizing the Pearson Correlation Coefficient |
| Dai Feng-zhou; Liu Hong-wei; Wu Shun-jun |
| National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China |
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Abstract To overcome the “Doppler dispersion” of the wideband radar return, a method of subband implementation for wideband radar clutter suppression and target High Resolution Range Profile (HRRP) enhancement is presented in this paper. The return is decomposed by oversampled DFT modulation filter bank. In every subband the “Doppler dispersion” can be ignored and weighting processing is implemented for multi coherent returns to suppress the clutter and enhance the target return, then the results of all subbands are reconstructed to get the enhanced target HRRP. The derivation of optimal weight vector is on the principle of maximizing the Pearson correlation coefficient between the reconstructed HRRP and the referenced HRRP. The optimal weight vector can not be implemented because it is dependent on the actual target HRRP and the realizable MVDR weight vector can be derived from the optimal weight vector in the case of high SNR. Theory analyzing and simulation results show that the method presented in this paper can suppress the clutter and enhance the target HRRP.
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Received: 20 June 2008
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2009, Vol. 31 
