Accession Number:

AD1120646

Title:

Target-Centric Probabilistic Multi-Hypothesis Tracking

Descriptive Note:

[Technical Report, Technical Report]

Corporate Author:

Naval Undersea Warfare Center Division Newport

Personal Author(s):

• Luginbuhl, Tod E.
• Walsh, Michael J.

Report Date:

2020-06-12

Pagination or Media Count:

49

Abstract:

This report examines an alternative assignment model for Probabilistic Multi-Hypothesis Tracking PMHT in which targets are assigned to measurements, in contrast to the original PMHT model in which measurements are assigned to targets. A new target-centric PMHT algorithm is derived and compared to its original measurement-centric counterpart. The relationship between target-centric PMHT and the probabilistic data association PDA filter for single-target tracking in clutter was examined, and a PDA-style approximation to the target state covariance matrices for target-centric PMHT is proposed. A target-centricmeasurement-centric PMHT hybrid is also proposed to address algorithm performance in the case of closely spaced targets.

Descriptors:

• multitarget tracking
• multiple hypothesis tracking
• data association
• probability distributions
• target tracking
• detection
• kalman filters
• probability
• algorithms
• computational complexity
• kalman filtering
• multiple targets
• random variables
• undersea warfare
• data processing
• detectors
• estimators
• filtration
• information science
• target detection

Subject Categories:

• Target Direction, Range and Position Finding

Distribution Statement:

[A, Approved For Public Release]