NDLI: Detection of the chirp signal features caused by Doppler phenomenon in the presence of destructive agents based on cyclostationary and Hough transform methods

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Detection of the chirp signal features caused by Doppler phenomenon in the presence of destructive agents based on cyclostationary and Hough transform methods

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Volume 12 (2018) : Issue 3, May

Volume 12 (2018) : Issue 2, Apr

Volume 12 (2018) : Issue 1, Feb

IET Wireless Sensor Systems

Micro & Nano Letters

The Journal of Engineering

Detection of the chirp signal features caused by Doppler phenomenon in the presence of destructive agents based on cyclostationary and Hough transform methods

Content Provider	IET Digital Library
Author	Heydari, Kazem Azmi, Paeiz Arand, Bijan Abbasi Heydari, Akbar
Abstract	This study deals with investigating the chirp signal detection obtained from the moving target in the presence of the destructive factor (leakage) and Gaussian noise using the generalised almost-cyclostationary (GACS) and Hough transform (HT) signal processing altogether (i.e. GACS–HT) approaches. To do so, a receiver was designed hierarchically using the above approach in this study. In this receiver, the detection and extraction of linear frequency modulation takes place in the subspace of the cyclostationary and Hough which have unique characteristics. In order to detect the target, the relative velocity was analysed in the cyclostationary subspace while the relative acceleration was analysed in the Hough space. Due to using the simulation, the behaviour of this receiver was measured by different subspaces for different parameters in the presence of noise and destructive factor. Ultimately, the efficiency of the presented approach was analysed and compared with other approaches. The results indicated that the GACS–HT approach is more efficient than the energy detector approach and in terms of complexity it is almost as complex as the LV transform approach.
Starting Page	394
Ending Page	402
Page Count	9
ISSN	17519675
Volume Number	12
e-ISSN	17519683
Issue Number	Issue 4, Jun (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/12/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2017.0092
Journal	IET Signal Processing
Publisher Date	2017-11-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Chirp Modulation Chirp Signal Feature Detection Cyclostationary Subspace Destructive Agents Destructive Factor Doppler Effect Doppler Phenomenon Feature Extraction Frequency Modulation GACS-HT Approach Gaussian Noise Generalised Almost-cyclostationary Signal Processing Hough Transform Method Hough Transforms Integral Transforms Linear Frequency Modulation Detection Linear Frequency Modulation Extraction Modulation And Coding Method Object Detection Signal Detection Statistics Target Detection
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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