Multi-band Radar Signal Fusion based on GTD Model

Inhalt:
Multi-band radar signal fusion can improve range resolution of range profile. The performance of fusion based on spectrum estimation is limited by estimation of scattering model order. Furthermore, owing to sparse distribution of multi-band, the mutual coherence of observation system matrix is destroyed, and the global optimal solution of Basis Pursuit (sparse representation based on l1-norm) is unequal to real sparse representation of signal. Thus a method of fusion based on sparse Bayesian learning is proposed in this paper. This method avoids estimation of model order, and overcomes the limitation of Basis Pursuit. The experimental results also show the advantage of this method.