NDLI: Tracking multiple extended targets with multi-Bernoulli filter

Content Provider	IET Digital Library
Author	Hu, Qi Ji, Hongbing Zhang, Yongquan
Abstract	This study presents an improved multi-target multi-Bernoulli (IMeMBer) gamma Gaussian inverse Wishart (GGIW) filter for tracking multiple extended targets (ETs). The main contribution of this study consists of three parts, first, a novel method is proposed to obtain the unbiased cardinality estimation of multiple targets using the multi-Bernoulli recursion. As a variation of the existing cardinality-balanced MeMBer (CBMeMBer) filter, the presented filter is called the improved MeMBer filter, which overcomes the high detection probability limitation of the CBMeMBer filter. Second, based on the mathematical derivation, the IMeMBer filter is expanded to accommodate the characteristics of the ETs of which each target generates more than one measurement at each time step, and the GGIW method is used for its implementation. The resulting filter simultaneously provides the kinematic, extended and measurement rate states of ETs with an unknown and time-varying number. Third, the simulation results show that the presented filter achieves a considerable performance at the cost of less time, compared to the labelled multi-Bernoulli GGIW filter.
Starting Page	443
Ending Page	455
Page Count	13
ISSN	17519675
Volume Number	13
e-ISSN	17519683
Issue Number	Issue 4, Jun (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/13/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2018.5125
Journal	IET Signal Processing
Publisher Date	2019-01-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cardinality-balanced MeMBer Filter CBMeMBer Filter Detection Probability Limitation Filtering Method in Signal Processing Filtering Theory Gamma Distribution Gaussian Distribution IMeMBer Filter Kinematic Measurement MultiBernoulli GGIW Filter MultiBernoulli Recursion Multiple Extended Target Tracking Multitarget MultiBernoulli Gamma Gaussian Inverse Wishart Filter Probability Signal Processing Theory Statistics Target Tracking Time-varying Number Unbiased Cardinality Estimation
Content Type	Text
Resource Type	Article
Subject	Signal Processing 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

Adaptive cardinality balanced multi-target multi-Bernoulli filter based on cubature Kalman

Sequential Monte Carlo implementation of cardinality balanced multi-target multi-Bernoulli filter for extended target tracking

CBMeMBer filter with adaptive target birth intensity

Cardinality balanced multitarget multi-Bernoulli filter for multipath multitarget tracking in over-the-horizon radar

Multiple-detection multi-target tracking with labelled random finite sets and efficient implementations

Joint detection and tracking of non-ellipsoidal extended targets based on cubature Kalman-CBMeMBer sub-random matrices filter

Multi-model particle cardinality-balanced multi-target multi-Bernoulli algorithm for multiple manoeuvring target tracking

JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 1 An Extended Target CPHD Filter and a Gamma Gaussian Inverse Wishart Implementation

Improved multi-target tracking algorithm based on SMC-CBMeMBer for the airborne Doppler radar

Tracking multiple extended targets with multi-Bernoulli filter

Similar Documents

Adaptive cardinality balanced multi-target multi-Bernoulli filter based on cubature Kalman

Sequential Monte Carlo implementation of cardinality balanced multi-target multi-Bernoulli filter for extended target tracking

CBMeMBer filter with adaptive target birth intensity

Cardinality balanced multitarget multi-Bernoulli filter for multipath multitarget tracking in over-the-horizon radar

Multiple-detection multi-target tracking with labelled random finite sets and efficient implementations

Joint detection and tracking of non-ellipsoidal extended targets based on cubature Kalman-CBMeMBer sub-random matrices filter

Multi-model particle cardinality-balanced multi-target multi-Bernoulli algorithm for multiple manoeuvring target tracking

JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 1 An Extended Target CPHD Filter and a Gamma Gaussian Inverse Wishart Implementation

Improved multi-target tracking algorithm based on SMC-CBMeMBer for the airborne Doppler radar

Tracking multiple extended targets with multi-Bernoulli filter