New Proposed Adaptive Beamforming Algorithms Based on Merging CGM and NLMS methods
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 algorithmwill merge pure CGMwithModified 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
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 algorithmwill merge pure CGMwithModified 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
Chapters in this book
- Frontmatter I
- Preface of the Editors V
- Advances in Systems, Signals and Devices VII
- Editorial Board Members VIII
- Advances in Systems, Signals and Devices XI
- Contents XIII
- New Proposed Adaptive Beamforming Algorithms Based on Merging CGM and NLMS methods 1
- Efficient Hardware Architecture of DCT Cordic based Loeffler Compression Algorithm for Wireless Endoscopic Capsule 23
- Exploring the Physical Characteristics of an On-chip Router for its Integration in a 3D-mesh NoC 37
- Compact High Speed Hardware for SHA-2 on FPGA 47
- An Extensible Platform for Smart Home Services 61
- Fuzzy-Based Gang Scheduling Approach for Multiprocessor Systems 81
- A Robust Multiple Watermarking Scheme Based on the DWT 97
- Retinal Identification System based on Optical Disc Ring Extraction and New Local SIFT-RUK Descriptor 113
- An Optimized Hardware Architecture of 4×4 Intra Prediction for HEVC Standard 127
- Arabic Continuous Speech Recognition Based on Hybrid SVM/HMM Model 145
- Enhancing the Odd Peaks Detection in OFDM Systems Using Wavelet Transforms 161
- Methodology for Analysis of Direct Sampling Receiver Architectures from Signal Processing and System Perspective 175
- A Hybrid PAPR Reduction Scheme for OFDM Using SLM with Clipping at the Transmitter, and Sparse Reconstruction at the Receiver 197
- Mobile Workflow Management System Architecture Taking into Account Relevant Security Requirements 217
Chapters in this book
- Frontmatter I
- Preface of the Editors V
- Advances in Systems, Signals and Devices VII
- Editorial Board Members VIII
- Advances in Systems, Signals and Devices XI
- Contents XIII
- New Proposed Adaptive Beamforming Algorithms Based on Merging CGM and NLMS methods 1
- Efficient Hardware Architecture of DCT Cordic based Loeffler Compression Algorithm for Wireless Endoscopic Capsule 23
- Exploring the Physical Characteristics of an On-chip Router for its Integration in a 3D-mesh NoC 37
- Compact High Speed Hardware for SHA-2 on FPGA 47
- An Extensible Platform for Smart Home Services 61
- Fuzzy-Based Gang Scheduling Approach for Multiprocessor Systems 81
- A Robust Multiple Watermarking Scheme Based on the DWT 97
- Retinal Identification System based on Optical Disc Ring Extraction and New Local SIFT-RUK Descriptor 113
- An Optimized Hardware Architecture of 4×4 Intra Prediction for HEVC Standard 127
- Arabic Continuous Speech Recognition Based on Hybrid SVM/HMM Model 145
- Enhancing the Odd Peaks Detection in OFDM Systems Using Wavelet Transforms 161
- Methodology for Analysis of Direct Sampling Receiver Architectures from Signal Processing and System Perspective 175
- A Hybrid PAPR Reduction Scheme for OFDM Using SLM with Clipping at the Transmitter, and Sparse Reconstruction at the Receiver 197
- Mobile Workflow Management System Architecture Taking into Account Relevant Security Requirements 217
