Robust adaptive beamforming based on sampling covariance matrix reconstruction and steering vector estimation

Jiangong Shao; Peng Li; Jingwei Hu; Dengbo Sun; Renhong Xie; Yibin Rui

doi:10.1117/12.2631411

1 May 2022 Robust adaptive beamforming based on sampling covariance matrix reconstruction and steering vector estimation

Jiangong Shao, Peng Li, Jingwei Hu, Dengbo Sun, Renhong Xie, Yibin Rui

Author Affiliations +

Proceedings Volume 12171, Thirteenth International Conference on Signal Processing Systems (ICSPS 2021); 1217105 (2022) https://doi.org/10.1117/12.2631411
Event: Thirteenth International Conference on Signal Processing Systems (ICSPS 2021), 2021, Shanghai, China

Abstract

Traditional adaptive beamforming algorithms require high accuracy for steering vectors(SV), array models and desired signal(DS). However, the performance of the beamformer will seriously degrade when the DS is present in training snapshots. For the purpose of improving output performance of adaptive beamformer, a novel adaptive beamforming algorithm is proposed. This approach estimates the desired signal SV and reconstructs the sampling covariance matrix (CM) based on integrating over a undesired signal region. Furthermore, only a little prior knowledge is required, such as the approximate incident angle of the DS. The proposed algorithm remove not only the influence of the DS in the sampling covariance matrix, but also the effect of background noise perturbation, which is significantly improved compared with other methods. The results of data simulation experiments confirms that the beamformer has a excellent performance in output performance.

Citation Download Citation

Jiangong Shao, Peng Li, Jingwei Hu, Dengbo Sun, Renhong Xie, and Yibin Rui "Robust adaptive beamforming based on sampling covariance matrix reconstruction and steering vector estimation", Proc. SPIE 12171, Thirteenth International Conference on Signal Processing Systems (ICSPS 2021), 1217105 (1 May 2022); https://doi.org/10.1117/12.2631411

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Curium

Phased arrays

Sensors

Monte Carlo methods

Signal to noise ratio

Telecommunications

Wireless communications

Show All Keywords

Keywords/Phrases

Search In:

Publication Years