NDLI: Fourier-Bessel transform and time–frequency-based approach for detecting manoeuvring air target in sea-clutter

Content Provider	IET Digital Library
Author	Suresh, Penamati Thayaparan, Thayananthan Venkataramaniah, Kamisetti
Abstract	In many applications, it may be desired to decompose a non-stationary signal into its individual components. If spectral components of the non-stationary signal do not overlap in the frequency domain then Fourier transform can be used to decompose the non-stationary signal. Fourier transform fails to decompose the non-stationary signal if its spectral components overlap in the frequency domain. In this study, the authors propose Fourier-Bessel transform and the time–frequency analysis in conjunction with the fractional Fourier transform (FB-TF) method for the separation of multi-component non-stationary signal whose components overlap in both time and/or frequency domains. The efficiency of the proposed method is compared with one of the traditional decomposition methods like EMD. The proposed approach is applied to both simulated and experimental radar data. Results demonstrate the effectiveness of the proposed method for non-stationary signal separation and for detecting manoeuvring target in heavy sea-clutter environments. The improvement factor and clutter attenuation are calculated and used to compare the performance of the EMD and the FB-TF methods in suppressing the sea-clutter and enhancing target detection. The proposed method can be used as a potential tool for detecting and enhancing the low observable manoeuvring air targets in the sea-clutter environment.
Starting Page	481
Ending Page	491
Page Count	11
ISSN	17518784
Volume Number	9
e-ISSN	17518792
Issue Number	Issue 5, Jun (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/9/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2014.0207
Journal	IET Radar, Sonar & Navigation
Publisher Date	2015-02-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Clutter Attenuation EMD Empirical Mode Decomposition FB-TF Method Fourier Transforms Fourier-Bessel Transform Fractional Fourier Transform Frequency Domain Heavy Sea-clutter Environments Integral Transforms Manoeuvring Air Target Detection Multicomponent Nonstationary Signal Separation Nonstationary Signal Decomposition Radar Clutter Radar Data Radar Detection Radar Signal Processing Radar Theory Signal Detection Source Separation Spectral Component Time Domain Time-frequency Analysis Time–frequency Analysis Time–frequency-based Approach
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Manoeuvring target detection based on keystone transforms and conjugates time reversing transform

Extracting Micro-Doppler Radar Signatures From Rotating Targets Using Fourier–Bessel Transform and Time–Frequency Analysis

Efficient weak manoeuvring target detection method for DSSS signal

Manoeuvring target detection based on keystone transform and Lv's distribution

Coherent-like integration for PD radar target detection based on short-time Fourier transform

Sparse long-time coherent integration-based detection method for radar low-observable manoeuvring target

Approach for space-based radar manoeuvring target detection and high-order motion parameter estimation

Parameter estimation of manoeuvring targets based on segment integration and Lv's transform

Sea clutter suppression method for shipborne high-frequency surface-wave radar

Fourier-Bessel transform and time–frequency-based approach for detecting manoeuvring air target in sea-clutter

Similar Documents

Manoeuvring target detection based on keystone transforms and conjugates time reversing transform

Extracting Micro-Doppler Radar Signatures From Rotating Targets Using Fourier–Bessel Transform and Time–Frequency Analysis

Efficient weak manoeuvring target detection method for DSSS signal

Manoeuvring target detection based on keystone transform and Lv's distribution

Coherent-like integration for PD radar target detection based on short-time Fourier transform

Sparse long-time coherent integration-based detection method for radar low-observable manoeuvring target

Approach for space-based radar manoeuvring target detection and high-order motion parameter estimation

Parameter estimation of manoeuvring targets based on segment integration and Lv's transform

Sea clutter suppression method for shipborne high-frequency surface-wave radar

Fourier-Bessel transform and time–frequency-based approach for detecting manoeuvring air target in sea-clutter