Millimeter-wave Infrared Composite Detection Information Fusion Technology Research

Millimeter wave IR combined system can improve the performance of detector by using both MMW radiometer and radar, which is becoming another trend in MMW and IR detection technique.In this paper, a systematic research is performed about MMW radar target detection,iR signal Preprocessing and segment and multi-sensor fusion detection.The MMW radar target detection is studied on BP neural network. Signal detection is treated as one kind of especial classification here. Wigner distribution and principal component analysis are combined and the BP neural network is used to detection target at last.The techniques about IR signal Preprocessing and segment are very important in IR target detection. IR signal Preprocessing based on lateral inhibition networ theory is studied and IR signal segment based on wavelet transformation is studied here.Based on the analysis of the theory of data fusion,the application of traditional likehood ratio judgment and the D-S proof theory in the MMW IR combied system is studied in this paper.