Communication, Signal Processing & Information Technology

Extended Papers

Faouzi Derbel, Nabil Derbel, Olfa Kanoun, Faouzi Derbel, Nabil Derbel, Olfa Kanoun

• Publisher: De Gruyter Oldenbourg
• Year: 2018
• eBook ISBN: 9783110468410
• Edition: 1
• Topic: Technology & Engineering
• Subtopic: Information Technology
• Index: Technology & Engineering

The book elaborates selected, extended and peer reviewed papers on Communication and Signal Proceesing. As Vol. 8 of the series on "Advances on Signals, Systems and Devices" it presents main topics such as: content based video retrieval, wireless communication systems, biometry and medical imaging, adaptive and smart antennae.

T. M. Jamel

New Proposed Adaptive Beamforming Algorithms Based on Merging CGM and NLMS methods

T. M. Jamel: T. M. Jamel, University of Technology, Baghdad, Iraq, email: [email protected]

Abstract: This paper proposes new two adaptive beamforming algorithms based on a merging method for performance enhancement of mobile communications systems. The first proposal method includes merging pure Conjugate Gradient Method (CGM) with pure Normalized Least Mean Square (NLMS) algorithms, so that it is called CGM-NLMS. While the second proposed algorithm will merge pure CGM with Modified NLMS algorithm so that it is called CGM-MNLMS. The MNLMS algorithm is regarded as variable regularization parameter ε(k) which is fixed in the conventional NLMS algorithm. The regularization parameter ε(k) uses reciprocal of the estimation error square of the update step size of NLMS instead of fixed regularization parameter (ε). With the new proposed (CGM-NLMS) and (CGM-MNLMS) algorithms, the estimated weight coefficients, which are acquired from the first stage (CGM) algorithm, are stored and then used as initial weight coefficients for NLMS (or MNLMS) algorithm processing. Through simulation results of adaptive beamforming system using an Additive White Gaussian Noise (AWGN) channel model and Rayleigh fading channel with a Jakes power spectral density, the two new proposed algorithms provide fast convergence time, higher interference suppression capability and low level of MSD, and MSE at steady state compared with the pure CGM and pure NLMS algorithms.

Keywords: Beamforming algorithm, Least Mean Square (LMS), Normalized LMS (NLMS), Conjugate Gradient Method (CGM), Time-varying regularization parameter

1Introduction

The main limitation of ...

Table of contents

• Cover
• Title Page
• Copyright
• Contents
• Preface of the Editors
• New Proposed Adaptive Beamforming Algorithms Based on Merging CGM and NLMS methods
• Efficient Hardware Architecture of DCT Cordic based Loeffler Compression Algorithm for Wireless Endoscopic Capsule
• Exploring the Physical Characteristics of an On-chip Router for its Integration in a 3D-mesh NoC
• Compact High Speed Hardware for SHA-2 on FPGA
• An Extensible Platform for Smart Home Services
• Fuzzy-Based Gang Scheduling Approach for Multiprocessor Systems
• A Robust Multiple Watermarking Scheme Based on the DWT
• Retinal Identification System based on Optical Disc Ring Extraction and New Local SIFT-RUK Descriptor
• An Optimized Hardware Architecture of 4×4 Intra Prediction for HEVC Standard
• Arabic Continuous Speech Recognition Based on Hybrid SVM/HMM Model
• Enhancing the Odd Peaks Detection in OFDM Systems Using Wavelet Transforms
• Methodology for Analysis of Direct Sampling Receiver Architectures from Signal Processing and System Perspective
• A Hybrid PAPR Reduction Scheme for OFDM Using SLM with Clipping at the Transmitter, and Sparse Reconstruction at the Receiver
• Mobile Workflow Management System Architecture Taking into Account Relevant Security Requirements