摘要
基于人工神经网络能量函数优化理论 ,提出了一种毫米波频率步进雷达距离像的神经网络算法的理论框架 ,并进行了仿真实验 .由于神经网络的并行运算 。
Based on the energy function optimization theory of the artificial neural network, a theoretical frame of neural network algorithm was presented to produce 1-D range profile of MMW stepped-frequency radar and some simulation experiments were done. Because of the parallel computation of the neural network, the method developed by the authors has the advantage of rapidness.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2002年第4期266-268,共3页
Journal of Infrared and Millimeter Waves
