Robust Covariance Matrix Estimation for Uniform Rectangular Array
Abstract
Covariance matrix estimation is a fundamental component of adaptive signal processing methods. Motivated by the data structure brought by uniform rectangular arrays, we address the problem of block Toeplitz structure covariance estimation in non-Gaussian environments. We propose a robust estimator that incorporates structural constraints on the covariance matrix, enhancing resilience to deviations from Gaussian assumptions. The performance of the proposed approach is assessed with respect to the Cramér–Rao bound. A direction-of-arrival estimation for uniform rectangular arrays is presented to demonstrate the effectiveness of the framework in source localization tasks.
Fields of Study & Subjects
Direction-of-Arrival Estimation Techniques
Radar Systems and Signal Processing
Antenna Design and Optimization
Publication details
- Journal / source
- ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- Publisher
- IEEE
- Pages
- 381–385
- Publication date
- 21 April 2026
- Language
- EN