DocumentCode
2035556
Title
Root-MSE geolocation performance using angle-of-arrival measurements
Author
Adib, Neda ; Douglas, Scott C.
Author_Institution
Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
fYear
2013
fDate
3-6 Nov. 2013
Firstpage
476
Lastpage
480
Abstract
In this paper, we describe a procedure for evaluating the fundamental root-mean-square-error (root-MSE) accuracy of a single moving sensor system collecting angle-of-arrival (AOA) measurements of a single stationary emitter in two dimensions. The procedure assumes a known probability density function (p.d.f.) for a set of AOA measurements of azimuthal angle that are statistically-independent from each other. We construct the closed-form p.d.f. of the emitter position from these measurements based on the motion of the sensor, from which the root-MSE is numerically evaluated. The procedure has a number of useful capabilities, including (i) assessing the performance capabilities of a chosen AOA-based geolocation algorithm, (ii) determining the effect of the trajectory speed, direction, and AOA collection rate on overall geolocation performance, and (iii) judging the benefits and drawbacks of various data processing strategies.
Keywords
direction-of-arrival estimation; geophysical signal processing; mean square error methods; position measurement; probability; AOA measurements; AOA-based geolocation algorithm; angle-of-arrival measurements; azimuthal angle; data processing strategies; emitter position; geolocation performance; probability density function; root-MSE accuracy; root-mean-square-error accuracy; sensor motion; single moving sensor system; single stationary emitter; Accuracy; Coordinate measuring machines; Density measurement; Geology; Position measurement; Sensor systems; Trajectory; antenna arrays; azimuth; direction-of-arrival estimation; root mean square; statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2013 Asilomar Conference on
Conference_Location
Pacific Grove, CA
Print_ISBN
978-1-4799-2388-5
Type
conf
DOI
10.1109/ACSSC.2013.6810322
Filename
6810322
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