Unscented Transformation based array interpolation
- Resource Type
- Conference
- Authors
- Marinho, Marco A. M.; da Costa, Joao Paulo. C. L.; Antreich, Felix; de Menezes, Leonardo R. A.
- Source
- 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on. :2819-2823 Apr, 2015
- Subject
- Fields, Waves and Electromagnetics
Arrays
Interpolation
Estimation
Direction-of-arrival estimation
Covariance matrices
Noise
Array Interpolation
Array Mapping
Antenna Arrays
Unscented Transformation
- Language
- ISSN
- 1520-6149
2379-190X
It is impossible to enforce exact responses for each sensor involved in an antenna array. Important signal processing techniques such as Estimation of Signal Parameters via Rotational Invariance (ESPRIT), Forward Backward Average (FBA) and Spatial Smoothing (SPS) rely on sensor arrays with Vandermonde or centro-hermitian responses. To achieve such responses array interpolation is often necessary. In this work a novel way of performing array interpolation while minimizing the transformation error using the Unscented Transformation (UT) is presented. The UT provides a different method for mapping interpolated regions and also exhibits a new insight into array interpolation and its current limitations. A set of numerical simulations presents promising results for array interpolation employing the UT.