DOA/MoM-based ABF algorithm for SINR enhancement

• Published in: IET communications Vol. 13; no. 11; pp. 1565 - 1572
• Main Authors: Dawood, Heba S, Hussein, Amr Hussein, Gemeay, Entesar, Attia, Mahmoud Ahmed
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 16.07.2019
• Subjects: adaptive antenna arrays; adaptive beamforming; antenna radiation patterns; array pattern; array signal processing; arrival estimation; dedicated shaped pattern version; desired direction; desired input; desired signal; desired signals; direction‐of‐arrival; direction‐of‐arrival estimation; interference (signal); interfering signals; least mean square algorithm; least mean squares methods; LMS algorithm; method of moments; MoM algorithm; MoM‐based ABF algorithm; noniterative ABF algorithm; ordinary pattern; received signal sample; recursive least squares algorithm; Research Article; RLS algorithm; shaped pattern synthesis; signal‐to‐interference‐and‐noise ratio enhancement; SINR enhancement; smart antenna systems; weights vector; least mean squares methods; signal-to-interference-and-noise ratio enhancement; MoM algorithm; weights vector; adaptive beamforming; dedicated shaped pattern version; array pattern; direction-of-arrival estimation; shaped pattern synthesis; interfering signals; ordinary pattern; arrival estimation; RLS algorithm; antenna radiation patterns; LMS algorithm; method of moments; noniterative ABF algorithm; desired signals; adaptive antenna arrays; least mean square algorithm; array signal processing; SINR enhancement; smart antenna systems; recursive least squares algorithm; interference (signal); desired input; method-of-moments; direction-of-arrival; desired direction; desired signal; received signal sample; MoM-based ABF algorithm
• ISSN: 1751-8628; 1751-8636; 1751-8636
• DOI: 10.1049/iet-com.2018.5246

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 DOA and MoM-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.