Development of Modified Digital Beam Forming Algorithm Using Least Minimum Square Algorithm
The demand for increased capacity in wireless communication networks has motivated recent research activities toward wireless systems that exploit the concept of smart antenna and space selectivity. Efficient utilization of limited radio frequency spectrum is only possible to use smart/adaptive antenna system. The smart antenna radiates not only narrow beam towards desired users exploiting signal processing capability but also places null towards interferers, thus optimizing the signal quality and enhancing capacity. The existing algorithm for adaptive beam-forming (LMS (Least Minimum square) and CMA (Constant modulus algorithm)) is having some issues regarding performance. These issues can be resolved and performance can be improved by doing modification in existing LMS algorithm. In this work, a modified digital beam forming algorithm using LMS algorithm is developed. The aim behind developing this algorithm is to improve steady state response, reduce the phase difference between input and output signal and to reduce the error magnitude between input and output signal. The algorithm is modified by computing and combining the antenna response for interferer signal and data signal to the interferer signal and data signal. This response is calculated for both data signal and interferer signal using the distance between the antennas (π/2) and direction angle of signals. We also analyze the performance of Modified (LMS) algorithm for smart antenna systems which very important for smart antenna design. The performance of proposed method is also compared with existing CMA. The performance parameters for comparison are phase response, magnitude response, and error magnitude. MATLAB R2013 has been used as an implementation platform using wireless communication and antenna tool box.
Published by: Heena Antil, Rajesh Kumar
Author: Heena Antil
Paper ID: V3I3-1193
Paper Status: published
Published: May 10, 2017
Impact of Distribution Feeder Reconfiguration for Loss Reduction on Bus Voltages – A Perspective
A huge power is dissipated in distribution systems as power losses. The loss reduction and bus voltage improvement are the critical parameters of effective distribution feeder power flow. There are several techniques followed for power loss reduction and voltage profile improvement in distribution systems. Specifically, Distribution Feeder Reconfiguration (DFR) method is employed for the proposed system. The most important criterion of Distribution Feeder Reconfiguration is loss reduction, voltage profile improvement and relieving of the power lines from overloading. The proposed method is tested on a 3-Feeder distribution network and IEEE 33-Bus system. Genetic Algorithm (GA) optimization approach is applied to get the optimal switching scheme for feeder reconfiguration. Simulation results from load flow analysis and GA methodology have shown that the implementation of this method leads to a significant enhancement in voltage profile and reduction in the real power loss. Finally, results of system loss reduction and voltage stability enhancement with a brief overview of approached model are revealed in this paper.
Published by: K. K. S. V. V Prakasa Rao, V. C Veera Reddy
Author: K. K. S. V. V Prakasa Rao
Paper ID: V3I3-1191
Paper Status: published
Published: May 10, 2017
Mimo Channel Estimation Using Fast Converging Evolutionary Optimization Algorithm
In this paper, a new method using fast converging particle swarm optimization for channel estimation in transmit diversity has been proposed. Also, various estimation techniques for improving the accuracy of channel estimation, comparing the LS estimator with Adaptive Least Square estimator receiver which includes a feedback of output and improves the BER performance of the system, close to the ideal channel performance, have been studied. In the channel, it is required to transmit the data from a transmitter to receiver but sometimes noise is added to the data that has to be transmitted and that noise is called the interference. To improve the estimation process, an evolutionary algorithm like optimization techniques can be utilized for the estimation of the channel. Therefore, a method can be developed based on Particle Swarm Optimization based Least Square estimator for transmit diversity case in OFDM. The results have been shown in support of the proposed method.
Published by: Monika, Mahendra Tyagi
Author: Monika
Paper ID: V3I3-1189
Paper Status: published
Published: May 10, 2017
Review on OFDM-Mimo Channel Estimation by Adaptive and Non-Adaptive Approaches
With this paper review, the several routes in MIMO-OFDM with predictive estimation on a different kind of modulation because of OFDM turns a frequency-selective route into a parallel assortment of frequency even substations. The subcarriers possess the minimum frequency parting necessary to maintain orthogonally of the corresponding time site waveforms, the signal spectra matching to the several subcarriers overlap in occurrence. Hence, the available bandwidth is employed very proficiently so the review is real as an important view of under position different prediction evaluation which surrender table.
Published by: Bhalinder Singh, Rekha Garg
Author: Bhalinder Singh
Paper ID: V3I3-1188
Paper Status: published
Published: May 10, 2017
Globalization Of Finance And Its Implications For The Stabilization Of Industries Of India
The financial system has benefited from the Globalization of financial markets and financial Institutions. Financial globalization may also create new risks to the stability of the financial system. This Article analyses the impact of four major factors on the financial stability. These factors include the Rapid race of Innovation in financial markets, the increased Globalization of the banking system, the broadening of the Non-Banking Investor based and changes in the Regional Regime. The risks and benefits forwarded by these developments on financial stability are assessed in the light of their impact on the main core functions of the financial system. This article starts by analyzing the sources of strength and risk to financial stability from Innovation in the financial markets.
Published by: Dr. V. Venkateswara Rao, D. Pushpa Sri
Author: Dr. V. Venkateswara Rao
Paper ID: V3I3-1187
Paper Status: published
Published: May 10, 2017
Product Rating Based On Review
This paper borders around the analysis of turbine blade static structural and modal vibration analysis. The blade is a rotating part which converts kinetic energy into mechanical energy. The turbine blade is a critical part of the turbocharger which has shown increasing development of failure destructive turbine disk. It deals with Static and vibration analysis of turbine blade which is made up of Titanium alloy to estimate its performance. The causes of failure for turbine blade have also been found out. The investigation has been done using CATIA and ANSYS 14.5 software. CATIA is used for modeling of turbine blade and analysis has been done by ANSYS 14.5 software. An effort has been made to investigate the effect of induced stresses, pressure and mode shapes at the various natural frequency on the turbine blade. A static structural analysis has been carried out to investigate the stresses and displacements of the turbine blade. A modal analysis has been carried out to investigate the mode shape and natural frequency for the designed tapered gas turbine blade.
Published by: Anurag Manni, Naman Jaiswal, Nayan Jaiswal
Author: Anurag Manni
Paper ID: V3I3-1184
Paper Status: published
Published: May 10, 2017
