Out-of-sequence measurement updates for multi-hypothesis tracking algorithms

Stephanie Chan; Randy Paffenroth

doi:10.1117/12.778022

16 April 2008 Out-of-sequence measurement updates for multi-hypothesis tracking algorithms

Stephanie Chan, Randy Paffenroth

Proceedings Volume 6969, Signal and Data Processing of Small Targets 2008; 69691H (2008) https://doi.org/10.1117/12.778022
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

In multi-sensor tracking systems, observations are often exchanged over a network for processing. Network delays create situations in which measurements arrive out-of-sequence. The out-of-sequence measurement (OOSM) update problem is of particular significance in networked multiple hypothesis tracking (MHT) algorithms. The advantage of MHT is the ability to revoke past measurement assignment decisions as future information becomes available. Accordingly, we not only have to deal with network delays for initial assignment, but must also address delayed assignment revocations. We study the performance of extant algorithms and two algorithm modifications for the purpose of OOSM filtering in MHT architectures.

Citation Download Citation

Stephanie Chan and Randy Paffenroth "Out-of-sequence measurement updates for multi-hypothesis tracking algorithms", Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 69691H (16 April 2008); https://doi.org/10.1117/12.778022

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