DocumentCode :
1903899
Title :
Joint OTHR multipath state estimation with unknown ionospheric heights
Author :
Hua Lan ; Zengfu Wang ; Feng Yang ; Quan Pan
Author_Institution :
Key Lab. of Inf. Fusion Technol., Northwestem Polytech. Univ., Xi´an, China
fYear :
2015
fDate :
24-26 June 2015
Firstpage :
753
Lastpage :
758
Abstract :
This paper first considers over-the horizon radar (OTHR) target tracking in the unknown ionospheric heights case, and a new scheme for joint multipath data association, ionospheric heights identification and state estimation (JMAHE) is developed based on distributed expectation conditional maximization (ECM) framework. The proposed JMAHE scheme casts the OTHR multipath tracking problem as sensor network collaborative tracking, and has a two-level processing structure. The local level performs the local measurement selection, state estimation and ionospheric heights identification jointly based on ECM algorithm. Then, the global level fuses these local estimates by using the consensus strategy.
Keywords :
radar signal processing; radar tracking; state estimation; target tracking; JMAHE scheme; OTHR multipath state estimation; OTHR target tracking; consensus strategy; distributed ECM algorithm; distributed expectation conditional maximization framework; local measurement selection; multipath data association; over-the-horizon radar target tracking; sensor network collaborative tracking; state estimation; two-level processing structure; unknown ionospheric height identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Symposium (IRS), 2015 16th International
Conference_Location :
Dresden
Type :
conf
DOI :
10.1109/IRS.2015.7226226
Filename :
7226226
Link To Document :
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