Array calibration using array response interpolation and parametric modeling. Yang, B., McKelvey, T., Viberg, M., & Xu, G. In *2015 23rd European Signal Processing Conference (EUSIPCO)*, pages 1336-1340, Aug, 2015.

Paper doi abstract bibtex

Paper doi abstract bibtex

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.

@InProceedings{7362601, author = {B. Yang and T. McKelvey and M. Viberg and G. Xu}, booktitle = {2015 23rd European Signal Processing Conference (EUSIPCO)}, title = {Array calibration using array response interpolation and parametric modeling}, year = {2015}, pages = {1336-1340}, abstract = {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.}, keywords = {antenna arrays;calibration;interpolation;matrix algebra;vectors;array response interpolation technique;parametric modeling;array calibration problem;mutual coupling matrix;geometry;antenna array;angle-dependent correction vector;Arrays;Mutual coupling;Interpolation;Antenna arrays;Finite element analysis;Antenna measurements;Calibration;Array calibration;array response interpolation;correction vector;parametric modeling}, doi = {10.1109/EUSIPCO.2015.7362601}, issn = {2076-1465}, month = {Aug}, url = {https://www.eurasip.org/proceedings/eusipco/eusipco2015/papers/1570103779.pdf}, }

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