Abstract
An adaptive beamforming scheme based on vector-sensor arrays is implemented using two different matrix contractions of the 4th order covariance tensor. This tensorial beamformer has a two-stage structure, effectively combining the Bartlett and the minimum-variance-distortionless-response beamformers together. At the first stage, it involves an inherent multi-dimensional data smoothing operation which is capable of suppressing coherent interferences; at the second stage, the fixed Bartlett beamformer provides further enhancement to its robustness against steering vector mismatch errors, such as direction of arrival estimation and element position errors. The effectiveness of the proposed algorithms is verified by numerical simulations.
| Original language | English |
|---|---|
| Pages (from-to) | 803-821 |
| Number of pages | 19 |
| Journal | Multidimensional Systems and Signal Processing |
| Volume | 26 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Feb 2014 |
Keywords
- Adaptive beamforming
- Coherent interference
- Electromagnetic vector-sensor arrays
- Multilinear algebra
- Smoothing technique
ASJC Scopus subject areas
- Software
- Signal Processing
- Information Systems
- Hardware and Architecture
- Computer Science Applications
- Artificial Intelligence
- Applied Mathematics
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