Startseite Proximal gradient method based robust Capon beamforming against large DOA mismatch
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Proximal gradient method based robust Capon beamforming against large DOA mismatch

  • Diksha Thakur EMAIL logo , Vikas Baghel und Salman Raju Talluri
Veröffentlicht/Copyright: 23. April 2021
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Abstract

The Capon beamformer has excellent resolution and interference suppression capability but due to various attributes of practical environment such as inaccurate and/or insufficient information about the source, transmission medium and antenna array its performance deteriorates. To enhance its performance various efforts have been devoted and one effective method is presented here. In this paper, a novel and efficient robust Capon beamformer is devised which is based on proximal gradient method (PGRCB) and the robustness is achieved through remodeling the optimization problem of standard Capon beamformer (SCB). In the proposed PGRCB, the proximal gradient method is used to formulate a new optimization problem in order to obtain the optimum weights of the robust beamformer. The proposed method can achieve better performance as compared to some recent methods in the literature and its effectiveness is verified by the simulation results.


Corresponding author: Diksha Thakur, Department of Electronics and Communication Engineering, Jaypee University of Information and Technology, Waknaghat, 173234, India, E-mail:

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2020-08-19
Accepted: 2021-04-08
Published Online: 2021-04-23
Published in Print: 2021-07-27

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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