NDLI: An approach of radar clutter recognition based on higher-order statistics combination

Content Provider	IEEE Xplore Digital Library
Author	Ma Xiaoyan Fang Xueli Zhang Ronghua Xiang Jiabin
Copyright Year	2000
Description	Author affiliation: Tsinghua Univ., Beijing, China (Ma Xiaoyan)
Abstract	Radar clutter recognition is very useful for optimizing the processing and detection strategy of modern radar signal processing system to improve the performance of the processing system even the whole radar system to the maximum. A new radar clutter recognition approach based on higher-order statistics combination (HOSC) and its modification called weighed HOSC is presented, it can not only classify radar clutter, but also offer the corresponding parameters of the clutter. In comparison with other clutter recognition methods such as rectangular figure-based amplitude analysis, the proposed method is better. From the simulation results, it is seen that this clutter recognition approach has a higher recognition rate especially when the length of the clutter samples is short.
Starting Page	1933
Ending Page	1937
File Size	270443
Page Count	5
File Format	PDF
ISBN	0780357477
DOI	10.1109/ICOSP.2000.893483
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-08-21
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Higher order statistics Radar clutter Radar signal processing Radar detection Signal processing Displays Analytical models Parametric statistics Statistical analysis Statistical distributions
Content Type	Text
Resource Type	Article

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

A new method of radar clutter recognition based on multi-/spl alpha/ truncation set

Radar clutter recognition based on feature extraction by /spl alpha/ truncation-set

Order statistic filters as postdetection processors

Nonparametric permutation tests versus parametric tests in radar detection under k-distributed clutter

New physical-statistical models and methods for clutter and reverberation: KA-distributions

An approach based on trispectrum and rank statistics to testing departure from Gaussianity of stationary signals [radar signal processing]

Modeling and simulation of non-Gaussian correlated clutter

An objective comparison between cumulant-based and Burg's parametric modeling of Weibull radar clutter in the spectral and ensemble domains: a case study

Evaluation of the normalized parametric adaptive matched filter STAP test in airborne radar clutter

An approach of radar clutter recognition based on higher-order statistics combination

Similar Documents

A new method of radar clutter recognition based on multi-/spl alpha/ truncation set

Radar clutter recognition based on feature extraction by /spl alpha/ truncation-set

Order statistic filters as postdetection processors

Nonparametric permutation tests versus parametric tests in radar detection under k-distributed clutter

New physical-statistical models and methods for clutter and reverberation: KA-distributions

An approach based on trispectrum and rank statistics to testing departure from Gaussianity of stationary signals [radar signal processing]

Modeling and simulation of non-Gaussian correlated clutter

An objective comparison between cumulant-based and Burg's parametric modeling of Weibull radar clutter in the spectral and ensemble domains: a case study

Evaluation of the normalized parametric adaptive matched filter STAP test in airborne radar clutter

An approach of radar clutter recognition based on higher-order statistics combination