基于BP神经网络的高分辨率雷达探测技术仿真研究

Hou Xuan, He Mingyi
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引用次数: 3

摘要

介绍了将神经网络应用于高分辨率雷达探测的技术。首先,分析了高分辨率雷达探测技术的原理和“距离走廊”的概念;其次,介绍了BP算法的基本原理。分析了三层BP神经网络的原理和结构。第三,研究了基于BP神经网络的高分辨率雷达检测技术和算法。基于BP神经网络的目标检测技术研究结果具有优异的性能,考虑到4个距离走廊和10个距离走廊,即具有4个输入神经元和10个输入神经元的神经网络。最后,利用Matlab进行了研究,结果直观易懂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of Detection Technique Simulation of High Resolution Radar Based on BP Neural Network
Technology applying neural network to detection of high resolution radar is advised. Firstly, it analyses the principle of detection technique of high resolution radar and the conception of "distance corridor". Secondly, it introduces the basal principle of BP algorithm. The principle and structure of three layers BP neural network is analysed. Thirdly, the detection technology and algorithm of high resolution radar based on BP neural network is researched. The result of research of target detection technology based on BP neural network possesses superperformance, which is in view of four distance corridor and ten distance corridor, which are the neural network that possesses four input neurons and ten input neurons. At last, the research is carried out by Matlab, the result are visible and understandable.
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