Knowledge-aided robust adaptive beamforming with small snapshots
2013
A robust adaptive beamforming method is proposed to combat arbitrary array steering vector (SV) mismatches and small sample size. First, with the imprecise knowledge of the array manifold and angular sectors of the interferences, an a priori covariance matrix can be acquired. Secondly, a theoretically optimal covariance matrix can be obtained by combining an a priori covariance matrix with the sample covariance matrix. Finally, the mismatch vector between the actual and presumed SV can be estimated by solving a quadratic convex optimisation problem.
Keywords:
- Sample size determination
- Covariance matrix
- Sample mean and sample covariance
- Adaptive beamformer
- Estimation of covariance matrices
- Mathematical optimization
- Snapshot (computer storage)
- Rational quadratic covariance function
- Electronic engineering
- Mathematics
- Control theory
- A priori and a posteriori
- Regular polygon
- Manifold
- Quadratic equation
- Correction
- Source
- Cite
- Save
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