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旋转弹的红外信号处理分为4个部分,匹配滤波和阈值检测、前端处理、后端处理以及制导处理。匹配滤波和阈值检测可提高图像信杂比,抑制背景;前端处理实现图像的坐标转换;后端处理完成目标的识别;制导处理给出制导控制指令。前两个部分的算法处理,可以完成小目标的初步检测,并通过计算机给出模拟计算的结果,结果表明通过这两部分图像处理算法,能够有效提高图像信杂比,降低虚警概率,检测出弱小目标,且算法通过硬件易于实现,可以在旋转弹的信息处理器上使用。
Rotary bomb infrared signal processing is divided into four parts, matched filtering and threshold detection, front-end processing, back-end processing and guidance processing. Matching filtering and threshold detection can improve image signal-to-noise ratio, background suppression; front-end processing to achieve the image coordinate conversion; back-end processing to complete the target identification; guidance processing guidance control instructions given. The first two parts of the algorithm processing, you can complete the preliminary detection of small targets, and computer simulation results are given, the results show that these two part of the image processing algorithms, can effectively improve the image SNR, reduce the false alarm probability, detection A small target, and the algorithm is easy to implement by hardware, you can use the information on the rotating bomb processor.