DocumentCode :
2716394
Title :
Emitter geolocation using low-accuracy direction-finding sensors
Author :
Elsaesser, Derek
fYear :
2009
fDate :
8-10 July 2009
Firstpage :
1
Lastpage :
7
Abstract :
This paper examines the concept of replacing a few expensive high-accuracy radio direction-finding (DF) sensors operating in a stand-off baseline with many low-accuracy DF sensors deployed on existing military vehicles located throughout an area of interest. A formula is presented to estimate the geolocation accuracy that could be achieved for a given number of sensors with a specified DF accuracy. Monte Carlo and virtual simulation of sensors with varying DF accuracy is used to assess the accuracy and reliability of the geolocation estimates that could be achieved. Geolocation results are computed using Stansfield´s method and a technique developed at DRDC Ottawa, called the Discrete Probability Density (DPD) method, and compared to the theoretical location accuracy limit predicted by the Cramer-Rao Lower Bound. The DPD method is shown to provide more accurate and more reliable geolocation estimates than Stansfield´s method when incorporating large quantities of low-accuracy DF data. This suggests that the DPD method could be used with several less-expensive low-accuracy DF sensors to provide improved emitter geolocation capability compared to the conventional deployment of a few high-accuracy DF sensors.
Keywords :
Monte Carlo methods; electronic warfare; military computing; radio direction-finding; sensor fusion; virtual reality; visual databases; Monte Carlo simulation; direction-finding sensors; discrete probability density method; emitter geolocation capability; military vehicles; virtual sensor simulation; Computational intelligence; Computational modeling; Goniometers; Intelligent sensors; Intelligent vehicles; Military computing; Monte Carlo methods; Navigation; Security; Signal detection; Sensor data fusion; direction-finding; discrete probability density method; emitter geolocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Security and Defense Applications, 2009. CISDA 2009. IEEE Symposium on
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4244-3763-4
Electronic_ISBN :
978-1-4244-3764-1
Type :
conf
DOI :
10.1109/CISDA.2009.5356549
Filename :
5356549
Link To Document :
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