NDLI: Improved PRI-staggered space–time adaptive processing algorithm based on projection approximation subspace tracking subspace technique

Content Provider	IET Digital Library
Author	Yang, Xiaopeng Liu, Yongxu Sun, Yuze Long, Teng
Abstract	The pulse repetition interval (PRI)-staggered space–time adaptive processing (STAP) method is difficult to be processed in real time because of the large sample support and the huge computational complexity. The subspace technique can solve the aforementioned problem by exploiting the low rank property of the covariance matrix. Therefore the conventional PRI-staggered STAP method is improved based on the subspace technique in this study. The eigenvalue decomposition technique is firstly introduced into the PRI-staggered STAP method, where only the dominant eigenvectors are applied to construct the clutter subspace so that the sample support requirement is reduced dramatically. However, it turns out to be impractical because of the inherent computational complexity. To deal with the complexity problem, projection approximation subspace tracking as a fast subspace tracking method is applied to modify the conventional PRI-staggered STAP method. The clutter subspace can be approximated by using the concept of projection approximation and the recursive least squares processing, so that both the sample support and computational complexity can be reduced significantly. The performance of the proposed method is demonstrated by using the simulated data and the measured airborne radar data from the multichannel airborne radar measurements database.
Starting Page	449
Ending Page	456
Page Count	8
ISSN	17518784
Volume Number	8
e-ISSN	17518792
Issue Number	Issue 5, Jun (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/8/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2013.0175
Journal	IET Radar, Sonar & Navigation
Publisher Date	2013-11-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Airborne Radar Clutter Subspace Computational Complexity Covariance Matrices Covariance Matrix Eigenvalue Decomposition Technique Improved PRI-staggered Space-time Adaptive Processing Algorithm Interpolation And Function Approximation Least Squares Approximation Linear Algebra Low Rank Property Multichannel Airborne Radar Measurement Database Numerical Analysis Projection Approximation SubSpace Tracking SubSpace Technique Pulse Repetition Interval Radar Equipment Radar Signal Processing Recursive Estimation Recursive Least Squares Processing Sample Support Signal Processing And Detection Simulated Data Space-time Adaptive Processing STAP Method Statistics System And Application
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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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
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