Numerical analysis of transmission efficiency to guarantee the QoS for densely distributed UAV with randomly located ground station

An, Chan-ho; Yang, Janghoon; Kim, Dong Ku; Pak, Ui Young; Kwon, Kun-Sup

doi:10.1109/iccae.2010.5451585

2010 the 2nd International Conference on Computer and Automation Engineering (ICCAE) 2010

DOI: 10.1109/iccae.2010.5451585

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Numerical analysis of transmission efficiency to guarantee the QoS for densely distributed UAV with randomly located ground station

Chan-ho An

Janghoon Yang

Dong Ku Kim

et al.

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2012

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Cramér-Rao Lower Bound Analysis for Many-to-One UAV Tracking Using FDOA Measurements

Min¹,

An²,

Kim³

et al. 2012

IJCEE

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Abstract-This paper considers the application for tracking of one mobile emitter using a sequence of frequency difference of arrival (FDOA) measurements obtained by single pair of receivers at a time. We suppose there is only one unmanned aerial vehicle (UAV) as emitter without data link relation problems, such as disconnection of data link or false measurements. Each FDOA measurement defines a region of possible emitter locations around a unique hyperbola. These analysis leads to the Cramér-Rao lower bound (CRLB) for estimation of movements. Through the analysis we propose the manner for tracking through the error-ellipsoids acquired from each CRLB. Since the performance measure is the length of error ellipsoid axes, we compare the effects of various environments.Index Terms-Frequency difference of arrival (FDOA), Cramér-Rao lower bound (CRLB), unmanned aerial vehicle (UAV), tracking, ground station (GS)

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Cramér-Rao Lower Bound Analysis for Many-to-One UAV Tracking Using FDOA Measurements

Min¹,

An²,

Kim³

et al. 2012

IJCEE

View full text Add to dashboard Cite

show abstract

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Numerical analysis of transmission efficiency to guarantee the QoS for densely distributed UAV with randomly located ground station

Cited by 1 publication

References 4 publications

Cramér-Rao Lower Bound Analysis for Many-to-One UAV Tracking Using FDOA Measurements

Cramér-Rao Lower Bound Analysis for Many-to-One UAV Tracking Using FDOA Measurements

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