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**Harvard**

Svantesson, T. (1998) *The Effects of Mutual Coupling Using a Linear Array of Thin Dipoles of Finite Length*.

** BibTeX **

@conference{

Svantesson1998,

author={Svantesson, Thomas},

title={The Effects of Mutual Coupling Using a Linear Array of Thin Dipoles of Finite Length},

booktitle={Proc. 8th IEEE Signal Processing Workshop On Statistical Signal and Array Processing, Portland, USA},

pages={232-235},

abstract={The effects of mutual coupling on the direction finding accuracy of a linear array of dipole elements are studied. An approximative expression of the measured voltages when a plane wave is incident upon the array is derived using mutual impedances. The direction finding accuracy is then investigated by calculating the Cramer-Rao lower bound. It is found that a known coupling does not affect the estimation performance much. In the case of an unknown coupling, the estimation procedure can be simplified by using only a few off-diagonal elements of the coupling matrix. Depending on how many parameters that are included, the RMS error can actually be smaller than the CRB for the case when all off-diagonals are estimated. },

year={1998},

}

** RefWorks **

RT Conference Proceedings

SR Print

ID 16109

A1 Svantesson, Thomas

T1 The Effects of Mutual Coupling Using a Linear Array of Thin Dipoles of Finite Length

YR 1998

T2 Proc. 8th IEEE Signal Processing Workshop On Statistical Signal and Array Processing, Portland, USA

SP 232

OP 235

AB The effects of mutual coupling on the direction finding accuracy of a linear array of dipole elements are studied. An approximative expression of the measured voltages when a plane wave is incident upon the array is derived using mutual impedances. The direction finding accuracy is then investigated by calculating the Cramer-Rao lower bound. It is found that a known coupling does not affect the estimation performance much. In the case of an unknown coupling, the estimation procedure can be simplified by using only a few off-diagonal elements of the coupling matrix. Depending on how many parameters that are included, the RMS error can actually be smaller than the CRB for the case when all off-diagonals are estimated.

LA eng

DO 10.1109/SSAP.1998.739377

OL 30