Robust Capon Beamforming against Steering Vector Error Dominated by Large Direction-of-Arrival Mismatch for Passive Sonar
نویسندگان
چکیده
منابع مشابه
Iterative Robust Capon Beamforming with Adaptively Updated Array Steering Vector Mismatch Levels
The performance of the conventional adaptive beamformer is sensitive to the array steering vector (ASV) mismatch. And the output signal-to interference and noise ratio (SINR) suffers deterioration, especially in the presence of large direction of arrival (DOA) error. To improve the robustness of traditional approach, we propose a new approach to iteratively search the ASV of the desired signal ...
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A robust Capon beamformer (RCB) against the uncertainty of nominal array steering vector (ASV) is formulated in this paper. The RCB, which can be categorized as diagonal loading approach, is obtained by maximizing the output power of the standard Capon beamformer (SCB) subject to an uncertainty constraint on the nominal ASV. The bound of its output signal-to-interference-plusnoise ratio (SINR) ...
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Krylov-subspace methods, such as the multistage Wiener filter and conjugate gradient method, are often used for reduced-dimension adaptive beamforming. These techniques do not, however, allow for steering vector mismatch, which is typically present in many applications of interest, including passive sonar. Here, we discuss recently proposed robust methods that do allow for steering vector misma...
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ژورنال
عنوان ژورنال: Journal of Marine Science and Engineering
سال: 2019
ISSN: 2077-1312
DOI: 10.3390/jmse7030080