To Millimeter-wave Detection System Signal Processing

This paper is an important part of "Millimeter Wave Detecting System of runway recognition", which is the National Defense advanced research project. The problem of the on bomb MMW active/passive multiple-detecting system signal processing is systematically investigated.To raise the target recognition rates, information fusion, wavelet analysis and neural network are introduced to the target recognition. In the paper, two fusion scheme that based on the wavelet neural network are designed .The experiment of emulating their ability of discrimination achieves satisfying results.Finally, we have completed the designing and debugging related circuits of signal processing system, include intermediate frequency amplifier, distance measuring circuit and target recognition circuit.The paper analysis the target recognition scheme of on bomb MMW detecting system, which works at active/passive two systems performing in turn, and then realize them in some degree, all those can provide powerful guarantee for design the whole MMW detecting system.