Abstract:

The multiband signal fusion technique can improve the range resolution of the radar image efficiently by fusing several subbands to a great wide band signal in the signal level. At present, the all-pole model based fusion algorithms mainly apply the rootmultiple signal classification (MUSIC) and its modified method to estimate the signal poles, and good results are obtained in weak noise conditions. However, the root-MUSIC method which is fragile in noise could not easily get proper poles in low signal-to-noise ratio(SNR). In order to eliminate the influence of noise, a matrix pencil algorithm based method is proposed to estimate the multiband signal poles. And then the coherent parameters of multiband signals are calculated through the relation of corresponding poles. At the same time, an iterative algorithm which aims to minimize the 2-norm of signal difference is introduced to reduce signal fusion error. Apart from that a weighted optimization method is also presented to improve the fusion precision. Applications to simulate dada verify that the proposed method could get better fusion results at low SNR.