Modelling of navigation based LNA parameters using neural network technique


如何引用文章

全文:

开放存取 开放存取
受限制的访问 ##reader.subscriptionAccessGranted##
受限制的访问 订阅存取

详细

An approach to model the parameters of LNA which is ideal for GLONASS navigation system. To design LNA, multilayer perceptron architecture is used. The parameters of LNA are calculated using Levenberg Marquardt Backpropagation Algorithm for the frequency range 300 MHz to 18 GHz. ANN model is trained using Agilent MGA 71543 Low Noise Amplifier datasheet and this model shows high regression. The smith and polar charts are plotted for frequency range 300 MHz to 18 GHz and parameters are calculated for center frequency of L1 band of GLONASS, which is 1.602 GHz.

作者简介

Abhinav Payala

Harish Chandra Ram Kali Institute of Technolology

编辑信件的主要联系方式.
Email: gentlemen0001@gmail.com
印度, Ghaziabad

Rajiv Anand

Harish Chandra Ram Kali Institute of Technolology

Email: gentlemen0001@gmail.com
印度, Ghaziabad

补充文件

附件文件
动作
1. JATS XML

版权所有 © Allerton Press, Inc., 2017