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Some Comparisons of Cramer-Rao Bounds for Vector Sensors and Scalar Sensor Arrays for Array Processing
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Yale University, USA.
1993 (English)Report (Other academic)
Abstract [en]

The effect from polarization of emitted wave fronts on the parameter estimation accuracy for an array composed only of sensors sensitive to just one polarization direction has not been addressed in the literature this far. Antennas with such characteristics are, e.g., dipole (or scalar) antennas. A vector sensor, on the other hand, is a sensor whose output data consists of, for the electromagnetic case, the complete electric and magnetic fields at the sensor. This paper examines some of the effects on the Cram'er-Rao Bound for the elevation and/or azimuth angles to a single source emitting a polarized (electromagnetic) waveform. Since only one vector sensor is needed for estimation of both azimuth and elevation, it would be of interest to compare the lower parameter estimation error bound resulting from the vector sensor data model to the "ordinary" one, i.e. the data model used for scalar arrays. Such comparisons, both analytically and numerically, are herein made for an acoustic data model, as well as for an electromagnetic measurement model, for some simple scenarios and array configurations.

Place, publisher, year, edition, pages
Linköping: Linköping University , 1993. , p. 21
Series
LiTH-ISY-R, ISSN 1400-3902 ; 1512
Keywords [en]
Array processing, Scalar sensor arrays, Cramér-Rao bounds
Keywords [sv]
Radioteknik Teleteknik
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55605ISRN: LiTH-ISY-R-1512OAI: oai:DiVA.org:liu-55605DiVA, id: diva2:316309
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-09-12Bibliographically approved

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Some Comparisons of Cramer-Rao Bounds for Vector Sensors and Scalar Sensor Arrays for Array Processing(285 kB)367 downloads
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Andersson, Sören

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