Title :
Space-invariant projection method for multi-target positioning
Author :
Jun Shi ; Wanchun Zhao ; Xiaoling Zhang
Author_Institution :
E.E. Dept., UESTC, Chengdu, China
Abstract :
This paper discusses the positioning method of the sensor network in the viewpoint of the imaging technique. We find that similarly to the GPS system, sensor networks can position and track targets in 3D space. In multitarget case, the data association problem is crucial and extremely complex, which can be overcome via the projection strategy. In the face of a vast surveillance region, the space-variant feature of the system resolution makes it difficult to partition the image space soundly. By mapping the geographic space into the BR space, one can partition the 3-D space exhaustively and exclusively.
Keywords :
Global Positioning System; distributed sensors; object detection; position control; target tracking; GPS system; data association problem; geographic space; imaging technique; multitarget positioning; sensor network; space-invariant projection method; track targets; Delays; Equations; Global Positioning System; Imaging; Surveillance; Target tracking; Transmitters; bistatic range space; information projection; multi-target positioning; sensor network;
Conference_Titel :
TENCON 2013 - 2013 IEEE Region 10 Conference (31194)
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-2825-5
DOI :
10.1109/TENCON.2013.6718498