Array Interpolation Based on Local Polynomial Approximation With Application to DOA Estimation Using Weighted MUSIC
Paper in proceeding, 2009

The problem of direction-of-arrival (DOA) estimation using an array of sensors has received much attention for more than 3 decades. This is due to a rich interest from application areas such as radar, sonar and wireless communication channel characterization. However, high resolution DOA estimation requires an accurate model of the array response. This is usually achieved by measuring the response using sources at known positions (calibration). This paper considers interpolation of the calibration measurements using knowledge of a nominal response model. Standard linear interpolation is compared to an approach based on local polynomial approximation (LPA). We also derive a weighted MUSIC estimator, which is applied using error estimates from the interpolation. Both LPA interpolation and weighted MUSIC are found to improve the performance, but not uniformly in all scenarios.

Calibration

Parameter Estimation

Array Signal Processing

Modeling Errors

Author

Mats Viberg

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Astrid Lundgren

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Proceedings of ICASSP 2009

2145 - 2148

Subject Categories

Telecommunications

Signal Processing

Other Electrical Engineering, Electronic Engineering, Information Engineering

More information

Created

10/8/2017