Recognition Of Pulse Spectral Signal And Design Of Software

In the modern warfare, laser weapon is widely employed. The electro-optical countermeasure is more and more important, and spectrum laser alarm device of high performance and wide spectrum is increasingly needed.This thesis is devoted to the exact and real-time detection and recognition of the laser pulse signal with wavelength 400-1600nm, and to the design of the software of the spectrum measurement system. Firstly, the simple introduction should be carried on to this topic research background. Secondly, it is detailedly analyzed the hardware noise of the spectrum measurement system and the statistical property of the spectrum measurement system. On the basis of the research on the Least Mean Second algorithm (LMS algorithm), the LMS algorithm is found to be unsatisfactory to process this topic signal, and an improved LMS algorithm of invariable step is presented according to the signal characteristics in this topic. The method of FFT and frame subtraction is employed to process the laser spectrum signals with wavelengths of 0.5μm—0.9μm and 0.9μm—1.6μm respectively. Finally, it is detailedly introduce how to program the driver of the spectrum measurement system and the software.