Track Detection of Low Observable Targets Using a Motion Model

Autor: J. Daniel Park, John F. Doherty
Jazyk: angličtina
Rok vydání: 2015
Předmět:
Zdroj: IEEE Access, Vol 3, Pp 1408-1415 (2015)
Druh dokumentu: article
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2015.2471935
Popis: A method for detecting a low observable target track using an acceleration-based overall motion model is proposed. Unlike the existing track-before-detect methods that are based on sequential state updates, this method computes integrated echo energy for the entire hypothesized motion. The detection and the estimation of the track are made simultaneously using the batch processing approach. A comparison of track detection probability shows higher performance against low observable targets. Using a motion similarity metric and motion model homogeneity, a performance prediction model is derived and compared with the simulation results.
Databáze: Directory of Open Access Journals