Title
Joint Angle and Range Estimation for Frequency Diverse Array Using Multi-layer Perceptron Neural Network
Abstract
This paper proposes a joint angle and range estimation method for frequency diverse array (FDA) using multi-layer perceptron (MLP) neural network. Signal data generated by ideal FDA radar system model are used to construct the MLP model. Through experimental evaluation, the performance of the trained MLP neural network is demonstrated.
Year
DOI
Venue
2019
10.1109/ICCT46805.2019.8947138
2019 IEEE 19th International Conference on Communication Technology (ICCT)
Keywords
Field
DocType
frequency diverse array (FDA),multi-layer perceptron (MLP),angle and range estimation
Multi layer perceptron neural network,Pattern recognition,Computer science,Radar systems,Real-time computing,Artificial intelligence,Artificial neural network,Perceptron
Conference
ISSN
ISBN
Citations 
2576-7844
978-1-7281-0536-9
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Tianfang Chen100.34
Deping Xia200.34