Abstract
This paper proposes a general model of superdirectivity to provide analytical and closed-form solutions for arbitrary sensor arrays. Based on the equivalence between the maximum directivity factor and the maximum array gain in the isotropic noise field, Gram-Schmidt orthogonalization is introduced and recursively transformed into a matrix form to conduct pre-whitening and matching operations that result in superdirectivity solutions. A Gram-Schmidt mode-beam decomposition and synthesis method is then presented to formally implement these solutions. Illustrative examples for different arrays are provided to demonstrate the feasibility of this method, and a reduced rank technique is used to deal with the practical array design for robust beamforming and acceptable high-order superdirectivity. Experimental results that are provided for a linear array consisting of nine hydrophones show the good performance of the technique. A superdirective beampattern with a beamwidth of 48.05° in the endfire direction is typically achieved when the inter-sensor spacing is only 0.09λ (λ is the wavelength), and the directivity index is up to 12 dB, which outperforms that of the conventional delay-and-sum counterpart by 6 dB.
| Original language | English |
|---|---|
| Article number | 68 |
| Journal | Eurasip Journal on Advances in Signal Processing |
| Volume | 2015 |
| Issue number | 1 |
| DOIs | |
| State | Published - 6 Dec 2015 |
Keywords
- Gram-Schmidt orthogonalization
- High-order superdirectivity
- Mode-beam decomposition and synthesis
- Optimal beamforming
- Sonar signal processing
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