NDLI: HRRP multi-target recognition in a beam using prior-independent DBSCAN clustering algorithm

Content Provider	IET Digital Library
Author	Guo, Peng cheng Liu, Zheng Wang, Jing jing
Abstract	During the operation of monopulse radar, the high-resolution range profiles (HRRPs) of multiple targets may be overlapped, which will reduce the target recognition performance. In this study, a novel multi-target recognition method is proposed based on prior-independent density-based spatial clustering of applications with noise (PI-DBSCAN) algorithm. In the training phase, various features of training samples are extracted, among which the distribution of strong range cells is utilised to obtain the parameters of PI-DBSCAN algorithm while the others are used to train the support vector machine (SVM) classifier. In the test phase, PI-DBSCAN algorithm is exploited at the radial distance-azimuth plane to segment the test multi-target HRRP. Afterward, the features of the segmented HRRPs are extracted and fed to the SVM classifier to be recognised. The proposed method has no constraint on the target motion and does not need to set any parameters manually, which benefits its application. The experiment results of real measured data show that the proposed method is robust against noise and the increasing target HRRP overlap ratio comparing with traditional methods.
Starting Page	1366
Ending Page	1372
Page Count	7
ISSN	17518784
Volume Number	13
e-ISSN	17518792
Issue Number	Issue 8, Aug (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/13/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2018.5598
Journal	IET Radar, Sonar & Navigation
Publisher Date	2019-04-23
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Electrical Engineering Computing High-resolution Range Profile HRRP Multitarget Recognition Knowledge Engineering Technique Monopulse Radar Multiple Targets Noise Algorithm Pattern Clustering PI-DBSCAN Algorithm Prior-independent DBSCAN Clustering Algorithm Radar Computing Radar Equipment Radar Resolution Radar Signal Processing Radar Target Recognition Radial Distance-azimuth Plane Support Vector Machine Support Vector Machine Classifier SVM Classifier System And Application Target Motion Target Recognition Performance Test Multitarget HRRP Test Phase Training Phase Training Sample
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

W-Band Multi-Aspect High Resolution Range Profile Radar Target Classification Using Support Vector Machines

Radar target classification based on support vector machines and High Resolution Range Profiles

Radar Target Recognition Based on Kernel Projection Vector Space Using High-resolution Range Profile

A Fast Training Algorithm for SVM and Its Application in HRRP Classification

HRRP classification based on multi-scale fusion sparsity preserving projections

Radar target classification using support vector machine and subspace methods

A Novel Radar Target Recognition Algorithm Based on SVM

A HRRP Recognition Method Based on KFD

An algorithm based on HRRP for target recognition

HRRP multi-target recognition in a beam using prior-independent DBSCAN clustering algorithm

Similar Documents

W-Band Multi-Aspect High Resolution Range Profile Radar Target Classification Using Support Vector Machines

Radar target classification based on support vector machines and High Resolution Range Profiles

Radar Target Recognition Based on Kernel Projection Vector Space Using High-resolution Range Profile

A Fast Training Algorithm for SVM and Its Application in HRRP Classification

HRRP classification based on multi-scale fusion sparsity preserving projections

Radar target classification using support vector machine and subspace methods

A Novel Radar Target Recognition Algorithm Based on SVM

A HRRP Recognition Method Based on KFD

An algorithm based on HRRP for target recognition

HRRP multi-target recognition in a beam using prior-independent DBSCAN clustering algorithm