Measurement preprocessing approach for target tracking in a cluttered environment

T. C. Wang; P. K. Varshney

doi:10.1049/ip-rsn:19941161

Measurement preprocessing approach for target tracking in a cluttered environment

T. C. Wang, P. K. Varshney

Department of Electrical Engineering & Computer Science

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

The paper presents a novel measurement preprocessing technique to enhance the performance of conventional Kalman-filter-based tracking algorithms. Received measurements are preprocessed, based on a maximum-likelihood estimation approach. Simulation results show the superior performance of this approach both in clean and cluttered environment.

Original language	English (US)
Pages (from-to)	151-158
Number of pages	8
Journal	IEE Proceedings: Radar, Sonar and Navigation
Volume	141
Issue number	3
DOIs	https://doi.org/10.1049/ip-rsn:19941161
State	Published - Jun 1994

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1049/ip-rsn:19941161

Cite this

@article{5e48c9be3f5c4d369a805a93929482ce,

title = "Measurement preprocessing approach for target tracking in a cluttered environment",

abstract = "The paper presents a novel measurement preprocessing technique to enhance the performance of conventional Kalman-filter-based tracking algorithms. Received measurements are preprocessed, based on a maximum-likelihood estimation approach. Simulation results show the superior performance of this approach both in clean and cluttered environment.",

author = "Wang, {T. C.} and Varshney, {P. K.}",

year = "1994",

month = jun,

doi = "10.1049/ip-rsn:19941161",

language = "English (US)",

volume = "141",

pages = "151--158",

journal = "IEE Proceedings: Radar, Sonar and Navigation",

issn = "1350-2395",

publisher = "Institute of Electrical Engineers",

number = "3",

}

TY - JOUR

T1 - Measurement preprocessing approach for target tracking in a cluttered environment

AU - Wang, T. C.

AU - Varshney, P. K.

PY - 1994/6

Y1 - 1994/6

N2 - The paper presents a novel measurement preprocessing technique to enhance the performance of conventional Kalman-filter-based tracking algorithms. Received measurements are preprocessed, based on a maximum-likelihood estimation approach. Simulation results show the superior performance of this approach both in clean and cluttered environment.

AB - The paper presents a novel measurement preprocessing technique to enhance the performance of conventional Kalman-filter-based tracking algorithms. Received measurements are preprocessed, based on a maximum-likelihood estimation approach. Simulation results show the superior performance of this approach both in clean and cluttered environment.

UR - http://www.scopus.com/inward/record.url?scp=0028445656&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0028445656&partnerID=8YFLogxK

U2 - 10.1049/ip-rsn:19941161

DO - 10.1049/ip-rsn:19941161

M3 - Article

AN - SCOPUS:0028445656

SN - 1350-2395

VL - 141

SP - 151

EP - 158

JO - IEE Proceedings: Radar, Sonar and Navigation

JF - IEE Proceedings: Radar, Sonar and Navigation

IS - 3

ER -

Measurement preprocessing approach for target tracking in a cluttered environment

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this