DocumentCode :
544132
Title :
Performance analysis of a hyperbola fitting algorithm to determine the position of objects in the near field of a UWB detection system
Author :
Pohlmann, Martin ; Zibold, Tobias ; Sturtz, Dorothea ; Brosi, Jan ; Braun, Heiko ; Solbach, Klaus
Author_Institution :
Robert Bosch GmbH, Leinfelden, Germany
fYear :
2011
fDate :
14-16 March 2011
Firstpage :
1
Lastpage :
4
Abstract :
Ultra wideband (UWB) radar detection devices offer, due to their huge bandwidth, the possibility of high time resolution. It is possible to estimate the position of buried objects in walls or floors without knowing the electromagnetic properties of the background material by using a hyperbola fitting algorithm. The performance of this algorithm with respect to the number of used array elements, the total array length, the propagation velocity, the object position and to measurement jitter is evaluated by Monte Carlo simulations. These simulations are used to define minimum detection system requirements. Measurements are conducted with buried and unburied objects placed in the near field of a virtual Vivaldi array and the errors of the object position estimation are presented. Advantages and disadvantages of the algorithm are discussed.
Keywords :
Monte Carlo methods; antenna arrays; buried object detection; electromagnetic wave propagation; jitter; ultra wideband radar; Monte Carlo simulations; array elements; buried objects; electromagnetic properties; hyperbola fitting algorithm; measurement jitter; object position estimation; propagation velocity; ultra wideband radar detection devices; virtual Vivaldi array; Antenna arrays; Antenna measurements; Arrays; Estimation error; Jitter; Buried objects; hyperbola fitting; near field; radar data processing; ultra wideband radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwave Conference (GeMIC), 2011 German
Conference_Location :
Darmstadt
Print_ISBN :
978-1-4244-9225-1
Electronic_ISBN :
978-3-9812668-3-2
Type :
conf
Filename :
5760739
Link To Document :
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