Stability evaluation and track life of the PDAF for tracking in clutter

Xiaorong Li; Yaakov Bar-Shalom

doi:10.1109/cdc.1990.204027

Stability evaluation and track life of the PDAF for tracking in clutter

Xiaorong Li
, Yaakov Bar-Shalom

University of Connecticut

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

Abstract

An effective hybrid approach to the performance evaluation of the probabilistic data association (PDA) method for tracking in clutter is presented. In this approach, a continuous-valued covariance, which is a function of a discrete-valued random variable (the number of validated measurements), is used to characterize the tracking errors in an average sense. This covariance can be calculated offline recursively from a modified Riccati equation, which can be obtained by replacing the measurement-dependent terms in the original stochastic equation with their conditional expected values. This approach has the merit of yielding a quantification of the transients of tracking divergence, as well as better accuracy than previous work. Such an approach is particularly suitable for stability studies of tracking filters. In addition, a quantitative study of the track life problem is conducted, in which the number of validated measurements plays a central role.

Original language	English
Pages (from-to)	2264-2269
Number of pages	6
Journal	Proceedings of the IEEE Conference on Decision and Control
Volume	4
DOIs	https://doi.org/10.1109/cdc.1990.204027
State	Published - 1990
Externally published	Yes
Event	Proceedings of the 29th IEEE Conference on Decision and Control Part 6 (of 6) - Honolulu, HI, USA Duration: 5 Dec 1990 → 7 Dec 1990

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title = "Stability evaluation and track life of the PDAF for tracking in clutter",

abstract = "An effective hybrid approach to the performance evaluation of the probabilistic data association (PDA) method for tracking in clutter is presented. In this approach, a continuous-valued covariance, which is a function of a discrete-valued random variable (the number of validated measurements), is used to characterize the tracking errors in an average sense. This covariance can be calculated offline recursively from a modified Riccati equation, which can be obtained by replacing the measurement-dependent terms in the original stochastic equation with their conditional expected values. This approach has the merit of yielding a quantification of the transients of tracking divergence, as well as better accuracy than previous work. Such an approach is particularly suitable for stability studies of tracking filters. In addition, a quantitative study of the track life problem is conducted, in which the number of validated measurements plays a central role.",

author = "Xiaorong Li and Yaakov Bar-Shalom",

year = "1990",

doi = "10.1109/cdc.1990.204027",

language = "英语",

volume = "4",

pages = "2264--2269",

journal = "Proceedings of the IEEE Conference on Decision and Control",

issn = "0191-2216",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 29th IEEE Conference on Decision and Control Part 6 (of 6) ; Conference date: 05-12-1990 Through 07-12-1990",

}

TY - JOUR

T1 - Stability evaluation and track life of the PDAF for tracking in clutter

AU - Li, Xiaorong

AU - Bar-Shalom, Yaakov

PY - 1990

Y1 - 1990

N2 - An effective hybrid approach to the performance evaluation of the probabilistic data association (PDA) method for tracking in clutter is presented. In this approach, a continuous-valued covariance, which is a function of a discrete-valued random variable (the number of validated measurements), is used to characterize the tracking errors in an average sense. This covariance can be calculated offline recursively from a modified Riccati equation, which can be obtained by replacing the measurement-dependent terms in the original stochastic equation with their conditional expected values. This approach has the merit of yielding a quantification of the transients of tracking divergence, as well as better accuracy than previous work. Such an approach is particularly suitable for stability studies of tracking filters. In addition, a quantitative study of the track life problem is conducted, in which the number of validated measurements plays a central role.

AB - An effective hybrid approach to the performance evaluation of the probabilistic data association (PDA) method for tracking in clutter is presented. In this approach, a continuous-valued covariance, which is a function of a discrete-valued random variable (the number of validated measurements), is used to characterize the tracking errors in an average sense. This covariance can be calculated offline recursively from a modified Riccati equation, which can be obtained by replacing the measurement-dependent terms in the original stochastic equation with their conditional expected values. This approach has the merit of yielding a quantification of the transients of tracking divergence, as well as better accuracy than previous work. Such an approach is particularly suitable for stability studies of tracking filters. In addition, a quantitative study of the track life problem is conducted, in which the number of validated measurements plays a central role.

UR - https://www.scopus.com/pages/publications/0025559561

U2 - 10.1109/cdc.1990.204027

DO - 10.1109/cdc.1990.204027

M3 - 会议文章

AN - SCOPUS:0025559561

SN - 0191-2216

VL - 4

SP - 2264

EP - 2269

JO - Proceedings of the IEEE Conference on Decision and Control

JF - Proceedings of the IEEE Conference on Decision and Control

T2 - Proceedings of the 29th IEEE Conference on Decision and Control Part 6 (of 6)

Y2 - 5 December 1990 through 7 December 1990

ER -

Stability evaluation and track life of the PDAF for tracking in clutter

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