Smart Antennas Adaptive Beamforming through Statistical Signal Processing Techniques
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 7
Abstract
The smart antenna improves the performance of wireless communication systems by increasing channel capacity and spectrum efficiency, extending range of coverage, steering multiple beams to track several mobiles. Smart antenna may direct main lobe, with increased gain, in the direction of angle of arrival (AOA) of the user (or desired signal), and direct nulls in direction away from the main lobe or in the AOA of interfering signals. For this purpose different adaptive algorithms are available to calculate the optimum weight vectors, to form phased beam, and to minimize the Mean Square Error (MSE).Least Mean Square (LMS) adaptive algorithm is preferred for Beam forming, because it is simple and easy to implement, but the error convergence is slow. In this paper Kernel Least Mean Square (KLMS) Algorithm is proposed to overcome the short comings (like MSE) of existing algorithms for a robust smart antenna system.
Authors and Affiliations
Neelapu GR Reddy, K Ramadevi
Intrusion Detection in Web applications Using Double Guard
In web base services having a data transfer from different layer. Web services have separate layer for the data transfer and the process is difficult in the service. In service transferring data is having intrusion f...
Online Clustering Of Multiple Data Streams
This paper presents an online Clustering of Data Stream Algorithm which can be used for on-line summarization of multiple data stream over fixed time length. A data stream is a large and continuously increasing seque...
Implementation of Trust Aware Routing Framework With Link Failure Consideration and Recovery
Wireless Sensor Network has now huge scope for research and application development but sensor networks are vulnerable to different attack. Hence security is key issue while using Sensor networks. Identity deceptions...
Effective Load Balancing Technique And Memory Management In Cloud
Cloud computing applications are developed using Map Reduce programming. Cloud computing distributed file system nodes perform functionality like computing as well as storage in this a file is partitioned into a numb...
A Low Power Remote Monitoring Sensor Network For Flood Monitoring System
Currently, many water companies have deployed telemetry systems to replace some of the manual operations involved in data collection. These systems require extensive cabling for Public Switch Telephone Network (PSTN)...