Open AccessDOA/MoM‐based ABF algorithm for SINR enhancement
Author(s) -
Dawood Heba S.,
Hussein Amr Hussein,
Gemeay Entesar,
Attia Mahmoud Ahmed
Publication year - 2019
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2018.5246
Subject(s) - algorithm , direction of arrival , beamforming , computer science , signal (programming language) , adaptive beamformer , signal to interference plus noise ratio , antenna array , interference (communication) , least mean squares filter , antenna (radio) , mathematics , adaptive filter , telecommunications , power (physics) , channel (broadcasting) , physics , quantum mechanics , programming language
In this study, a new non‐iterative adaptive beamforming (ABF) algorithm for the signal‐to‐interference and noise ratio (SINR) enhancement is proposed. It is based on a combination between the direction of arrival (DOA) estimation and the method of moments (MoM). The proposed algorithm is denoted as DM/ABF which stands for D OA and M oM‐based ABF . The DOA is used to provide accurate estimates for the directions of the desired and interfering signals. On the basis of the estimated DOAs, a dedicated shaped pattern version of the ordinary pattern is created and applied as the desired input to the MoM algorithm. The MoM is used for shaped pattern synthesis to estimate the weights vector required to provide deep nulls toward the interfering signals and directs the main beam toward the desired signal. In this case, the weights vector does not update iteratively at each received signal sample as in case of least mean square (LMS) and recursive least squares (RLSs) algorithms, but it is updated only when the estimated DOAs of the desired and interfering signals are changed. Furthermore, a large number of close nulls can be produced without the need for additional antenna elements compared with other algorithms.