Title :
A multi-model track-before-detect algorithm for manoeuvring target detection for Over-the-Horizon Radar
Author :
Wang Zeng-fu ; Zhang Mei ; Liang Yan ; Pan Quan
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
fDate :
Sept. 30 2010-Oct. 1 2010
Abstract :
In this paper a multi-model track-before-detect (MM-TBD) is proposed for the HF Over-The-Horizon-Radar (OTHR) manoeuvring target detection. Multiple hypotheses about target manoeuvres and echo sources are represented in the multi-model-estimation framework with each sub-filter corresponding to one hypothesis. The track output of each sub-filter is obtained based on the maximum likelihood criterion and then a generalized likelihood ratio for hypothesis test is presented to target detection. A numerical simulation is presented to show the effectiveness of the proposed algorithm.
Keywords :
filtering theory; maximum likelihood detection; object detection; radar detection; target tracking; HF over-the-horizon-radar; MM-TBD algorithm; echo sources; generalized likelihood ratio; hypothesis test; manoeuvring target detection; maximum likelihood criterion; multimodel track-before-detect algorithm; multimodel-estimation framework; subfilter; Acceleration; Doppler effect; Object detection; Radar tracking; Signal to noise ratio; Target tracking;
Conference_Titel :
Radar Conference (EuRAD), 2010 European
Conference_Location :
Paris
Print_ISBN :
978-1-4244-7234-5
