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Development of Pulse Radar Detection Technique using Neural Network

机译:基于神经网络的脉冲雷达检测技术的发展

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摘要

Attempt to formalize human thought by the use of mathematical tools led to the generation of artificial neural networks. This paper is a modest attempt presenting mathematical modeling and analysis of some problems in radar pulse compression technique involving the use of neural network theory. An artificial neural network (ANN) system is an abstract mathematical model inspired by brain structures, mechanisms and functions. This paper presents an approach for pulse compression technique using Radial Basis function (RBF) neural network, 13 bit and 33 bit barker codes are taken as input to the network for pulse compression and comparison of RBF with other neural network like default ACF.
机译:试图通过使用数学工具来形式化人类思想导致了人工神经网络的产生。本文是一个适度的尝试,提出了数学建模和涉及神经网络理论的雷达脉冲压缩技术中一些问题的分析。人工神经网络(ANN)系统是受大脑结构,机制和功能启发的抽象数学模型。本文提出了一种使用径向基函数(RBF)神经网络进行脉冲压缩的方法,采用13位和33位巴克码作为网络的脉冲压缩以及将RBF与其他神经网络(如默认ACF)进行比较的输入。

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