A Novel Robust Adaptive Beamformer using Diagonal Loading
نویسندگان
چکیده
منابع مشابه
A Novel Robust Adaptive Beamformer using Diagonal Loading
Adaptive beamfomer which utilizes MVDR beamformer along with SMI (sample matrix inversion), actual data is not available to calculate the covariance matrix. Instead, covariance matrix is estimated from the available data. It may result in bad conditioning. To avoid this, diagonal elements are introduced in the correlation matrix, which is called diagonal loading. Diagonal loading can be inserte...
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Diagonal loading imparts Robustness to the adaptive beamformer against signal mismatch due to low sample support. It helps to achieve desired sidelobe level and to improve Signal to Interference plus Noise Ratio (SINR). In this paper, variants of Minimum Variance Distortionless Response-Sample Matrix Inversion (MVDR-SMI) beamformer with diagonal loading are analyzed. A novel hybrid algorithm, M...
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The diagonal loading method is a simple and efficient method to improve the robustness of beamformers. However, how to determine the ideal diagonal loading level has not been adequately addressed. In this paper, it is observed in the simulation that the peak of the main beam is moved with the diagonal loading level when there exists a Direction of Arrival (DOA) estimation error. Based on the ob...
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The Capon beamformer has better resolution and much better interference rejection capability than the standard (data-independent) beamformer, provided that the array steering vector corresponding to the signal of interest (SOI) is accurately known. However, whenever the knowledge of the SOI steering vector is imprecise (as is often the case in practice), the performance of the Capon beamformer ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2011
ISSN: 0975-8887
DOI: 10.5120/2355-3079