Array Calibration using Array Response Interpolation and Parametric Modeling
Paper in proceedings, 2015

High-performance array applications often require an accurate array response model. A common way to achieve this is by array calibration which involves measuring the response for a finite number of given source directions and employing interpolation. This paper considers the array calibration problem by combing interpolation techniques and parametric modeling. The idea is to model the array response as a product of a mutual coupling matrix, an ideal array response vector (derived from the geometry of antenna array) and an angle-dependent correction vector. Since the major effects are captured by the physical model and the mutual coupling matrix, the correction vector will be a smoother function of angle as compared to direct interpolation of the measured array response. In numerical experiments of a real antenna array, the method is found to improve the performance of the array calibration significantly.

array response interpolation

parametric modeling

Array calibration

correction vector

Author

Bin Yang

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Tomas McKelvey

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Mats Viberg

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Proc. European Signal Processing Conference 2015 (EUSIPCO 2015)

2076-1465 (ISSN)

1346-1350

Areas of Advance

Information and Communication Technology

Roots

Basic sciences

Subject Categories

Signal Processing

ISBN

978-0-9928-6263-3

More information

Created

10/8/2017