Academic Journal

New convex approaches to general MVDR robust adaptive beamforming problems

التفاصيل البيبلوغرافية
العنوان: New convex approaches to general MVDR robust adaptive beamforming problems
المؤلفون: Yao Zhao, Qingsong Liu, He Tian, Mingfan Luo, Bingo Wing‐Kuen Ling, Zhe Zhang
المصدر: Electronics Letters, Vol 59, Iss 18, Pp n/a-n/a (2023)
بيانات النشر: Wiley, 2023.
سنة النشر: 2023
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
مصطلحات موضوعية: array signal processing, convex programming, relaxation theory, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
الوصف: Abstract Consider general minimum variance distortionless response (MVDR) robust adaptive beamforming problems based on the optimal estimation for both the desired signal steering vector and the interference‐plus‐noise covariance (INC) matrix. The optimal robust adaptive beamformer design problem is an array output power maximization problem, subject to three constraints on the steering vector, namely, a (convex or nonconvex) quadratic constraint ensuring that the direction‐of‐arrival (DOA) of the desired signal is separated from the DOA region of all linear combinations of the interference steering vectors, a double‐sided norm constraint, and a similarity constraint; as well as a ball constraint on the INC matrix, which is centered at a given data sample covariance matrix. To tackle the nonconvex problem, a new tightened semidefinite relaxation (SDR) approach is proposed to output a globally optimal solution; otherwise, a sequential convex approximation (SCA) method is established to return a locally optimal solution. The simulation results show that the MVDR robust adaptive beamformers based on the optimal estimation for the steering vector and the INC matrix have better performance (in terms of, e.g., the array output signal‐to‐interference‐plus‐noise ratio) than the existing MVDR robust adaptive beamformers by the steering vector estimation only.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1350-911X
0013-5194
Relation: https://doaj.org/toc/0013-5194; https://doaj.org/toc/1350-911X
DOI: 10.1049/ell2.12957
URL الوصول: https://doaj.org/article/c0482bf58db04e73811d64f338bff23d
رقم الانضمام: edsdoj.0482bf58db04e73811d64f338bff23d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:1350911X
00135194
DOI:10.1049/ell2.12957