Performance Analysis of Differential Evolution Algorithm based Beamforming for Smart Antenna Systems
TL;DR: In this paper, a smart antenna array beamforming using differential evolution algorithm is presented, where the excitation values of the elements in the array are smartly adjusted to control side lobe levels and placing nulls in the interference signal direction while maintaining the beam in the desired signal direction.
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Abstract: This paper presents smart antenna array beamforming using differential evolution algorithm. The excitation values of the elements in the array are smartly adjusted to control side lobe levels and placing nulls in the interference signal direction while maintaining the beam in the desired signal direction. Different cases are considered to illustrate the performance of this technique. Simulation results show that this evolution algorithm is better than the traditional beamforming algorithms for Smart antenna systems.
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Citations
An Enhanced Differential Evolution Algorithm with Multi-mutation Strategies and Self-adapting Control Parameters
TL;DR: An enhanced DE algorithm with multi-mutation strategies and self-adapting control parameters is proposed, which shows that the performance of the proposed algorithm is better than other DE algorithms for the majority of the tested functions.
MVDR Algorithm Based Linear Antenna Array Performance Assessment For Adaptive Beamforming Application
Suhail Najm Shahab,Zainun Ayib Rosdi,Hussein Ahmed Ali,Mojgan Hojabri,Noordin Nurul Hazlina +4 more
- 01 Jan 2017
TL;DR: A combination of MVDR with linear antenna arrays for two scanning angles process in the azimuth and elevation are used to illustrate the MVDR performance against error which results in acquiring the desired signal and suppressing the interference and noise.
13
A novel adaptive beamforming with reduced side lobe level using GSA
Abhinav Sharma,Sanjay Mathur +1 more
TL;DR: The proposed algorithm presents good convergence rate and accurate steering of main lobe and nulls with reduced SLL compared to the well-known ABF technique, namely, minimum variance distortionless response (MVDR) and previously reported results.
12
Synthesis of Reconfigurable Antenna Array Using Differential Evolution Algorithm
TL;DR: Based on simulation results, it is established that DE-based reconfigurable antenna array design provides better performance in terms of side lobe levels and null steering.
10
Design of Smart Antenna by Circular Pin-Fed Linearly Polarized Patch Antenna
TL;DR: This work presents the design and analysis of smart antenna by circular pin-fed linearly polarized patch antenna which has been adopted in this research work.
References
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more
TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
•Book
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Kenneth Price,Rainer Storn,Jouni Lampinen +2 more
- 13 Dec 2005
TL;DR: This volume explores the differential evolution (DE) algorithm in both principle and practice and is a valuable resource for professionals needing a proven optimizer and for students wanting an evolutionary perspective on global numerical optimization.
5.9K
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Differential Evolution: A Practical Approach to Global Optimization
Kenneth Price,Rainer Storn,Jouni Lampinen +2 more
- 25 Nov 2014
TL;DR: The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast as discussed by the authors, which is a valuable resource for professionals needing a proven optimizer and for students wanting an evolutionary perspective on global numerical optimisation.
5.6K
Smart antennas for wireless systems
TL;DR: Standard cellular antennas, smart antennas using fixed beams, and adaptive antennas for base stations, as well as antenna technologies for handsets are described and the potential improvement that these antennas can provide is shown.
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