Intelligent PDAF: refinement of IPDAF for tracking in clutter

X. Rong Li; Ning Li

Intelligent PDAF: refinement of IPDAF for tracking in clutter

X. Rong Li
, Ning Li

University of New Orleans

Research output: Contribution to conference › Paper › peer-review

15 Scopus citations

Abstract

An intelligent Probabilistic Data Association Filter (IPDAF) is presented as a refinement of the original IPDAF developed by Musicki et al. The refinement includes the incorporation of measurement feature information, a better estimator of clutter density, and an important correction of a mistake in the original PDAF and IPDAF. Simulation results demonstrate the substantial superiority of the proposed IPDAF to the original one.

Original language	English
Pages	133-137
Number of pages	5
State	Published - 1997
Externally published	Yes
Event	Proceedings of the 1997 29th Southeastern Symposium on System Theory, SSST - Cookeville, TN, USA Duration: 9 Mar 1997 → 11 Mar 1997

Conference

Conference	Proceedings of the 1997 29th Southeastern Symposium on System Theory, SSST
City	Cookeville, TN, USA
Period	9/03/97 → 11/03/97

Cite this

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title = "Intelligent PDAF: refinement of IPDAF for tracking in clutter",

abstract = "An intelligent Probabilistic Data Association Filter (IPDAF) is presented as a refinement of the original IPDAF developed by Musicki et al. The refinement includes the incorporation of measurement feature information, a better estimator of clutter density, and an important correction of a mistake in the original PDAF and IPDAF. Simulation results demonstrate the substantial superiority of the proposed IPDAF to the original one.",

author = "Li, \{X. Rong\} and Ning Li",

year = "1997",

language = "英语",

pages = "133--137",

note = "Proceedings of the 1997 29th Southeastern Symposium on System Theory, SSST ; Conference date: 09-03-1997 Through 11-03-1997",

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TY - CONF

T1 - Intelligent PDAF

T2 - Proceedings of the 1997 29th Southeastern Symposium on System Theory, SSST

AU - Li, X. Rong

AU - Li, Ning

PY - 1997

Y1 - 1997

N2 - An intelligent Probabilistic Data Association Filter (IPDAF) is presented as a refinement of the original IPDAF developed by Musicki et al. The refinement includes the incorporation of measurement feature information, a better estimator of clutter density, and an important correction of a mistake in the original PDAF and IPDAF. Simulation results demonstrate the substantial superiority of the proposed IPDAF to the original one.

AB - An intelligent Probabilistic Data Association Filter (IPDAF) is presented as a refinement of the original IPDAF developed by Musicki et al. The refinement includes the incorporation of measurement feature information, a better estimator of clutter density, and an important correction of a mistake in the original PDAF and IPDAF. Simulation results demonstrate the substantial superiority of the proposed IPDAF to the original one.

UR - https://www.scopus.com/pages/publications/0030679110

M3 - 论文

AN - SCOPUS:0030679110

SP - 133

EP - 137

Y2 - 9 March 1997 through 11 March 1997

ER -

Intelligent PDAF: refinement of IPDAF for tracking in clutter

Abstract

Conference

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