Parameter Estimation Processor for Chirp Signals Based on a Complex-Valued Deep Neural Network

Parameter Estimation Processor for Chirp Signals Based on a Complex-Valued Deep Neural Network

This paper addresses the problem of estimating the parameters of constant-amplitude chirp signals that have single or multiple components and are embedded in noise. Chirp signals are widely employed in applications such as radar and telecommunications, and it is a key task in countermeasure techniqu...

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Bibliographic Details
Main Authors: Hanning Su, Qinglong Bao, Zengping Chen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Chirp signals
complex valued deep neural network
deep learning
parameter estimation
sensitivity analysis
time–frequency analysis
Online Access:https://ieeexplore.ieee.org/document/8924616/

Internet

https://ieeexplore.ieee.org/document/8924616/

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