Title | ||
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Joint Angle and Range Estimation for Frequency Diverse Array Using Multi-layer Perceptron Neural Network |
Abstract | ||
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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 Chen | 1 | 0 | 0.34 |
Deping Xia | 2 | 0 | 0.34 |