Robust Algorithms for DOA Estimation and Adaptive Beamforming for Smart Antenna Application

2009 ◽  
Author(s):  
Suchita W. Varade ◽  
K. D. Kulat
Keyword(s):  
Smart Antenna ◽  
Doa Estimation ◽  
Adaptive Beamforming ◽  
Robust Algorithms

Robust Algorithms for DOA Estimation and Adaptive Beamforming in Wireless Mobile Communications

2009 ◽  
pp. 558-564
Author(s):  
R.M. Shubair ◽  
K.O. AlMidfa ◽  
A. Al-Marri ◽  
M. Al-Nuaimi
Keyword(s):  
Mobile Communications ◽  
Antenna Arrays ◽  
Communication Systems ◽  
Smart Antenna ◽  
Doa Estimation ◽  
Adaptive Beamforming ◽  
Lms Algorithm ◽  
Robust Algorithms ◽  
Wireless Mobile Communications ◽  
Wireless Mobile

This paper presents a tool for the modelling, analysis and simulation of direction-of-arrival (DOA) estimation and adaptive beamforming needed in the design of smart antenna arrays for wireless mobile communications. The developed tool implements the Minimum Variance Distortionless Response (MVDR) algorithm for DOA estimation and the Least Mean Squares (LMS) algorithm for adaptive beamforming. Performance of each algorithm is investigated with respect to the variation of a number of parameters that related to the signal environment and sensor array. Results of numerical simulation are useful for the design of smart antennas systems with optimal performance. Hence, the developed simulation tool can be used to improve and accelerate the design of wireless networks. It can also be used for computeraided learning of modern communication systems utilizing smart antenna arrays.

Robust Algorithms for DOA Estimation and Adaptive Beamforming in Wireless Mobile Communications

2011 ◽  
pp. 1036-1047
Author(s):  
R. M. Shubair ◽  
K. O. AlMidfa ◽  
A. Al-Marri ◽  
M. Al-Nuaimi
Keyword(s):  
Mobile Communications ◽  
Antenna Arrays ◽  
Communication Systems ◽  
Smart Antenna ◽  
Doa Estimation ◽  
Adaptive Beamforming ◽  
Lms Algorithm ◽  
Robust Algorithms ◽  
Wireless Mobile Communications ◽  
Wireless Mobile

This paper presents a tool for the modelling, analysis and simulation of direction-of-arrival (DOA) estimation and adaptive beamforming needed in the design of smart antenna arrays for wireless mobile communications. The developed tool implements the Minimum Variance Distortionless Response (MVDR) algorithm for DOA estimation and the Least Mean Squares (LMS) algorithm for adaptive beamforming. Performance of each algorithm is investigated with respect to the variation of a number of parameters that related to the signal environment and sensor array. Results of numerical simulation are useful for the design of smart antennas systems with optimal performance. Hence, the developed simulation tool can be used to improve and accelerate the design of wireless networks. It can also be used for computer-aided learning of modern communication systems utilizing smart antenna arrays.

scholarly journals Performance Analysis of LMS, RLS, CMA Algorithms for Beamforming in Smart Antenna Systems

2019 ◽  
Vol 8 (4) ◽  
pp. 10515-10523
Keyword(s):  
Smart Antenna ◽  
Doa Estimation ◽  
Adaptive Beamforming ◽  
Antenna System ◽  
Least Square ◽  
Signal Power ◽  
Least Mean Square ◽  
Recursive Least Square ◽  
Wireless Mobile Communication ◽  
Antenna Systems

Smart antenna systems strengthen wireless mobile communication, with enhancement over conventional systems, by projecting the signal power in narrow beams towards the desired users and suppressing the signal power towards unwanted users or interferers. Different DOA estimation and beamforming algorithms play crucial role in smart antenna system. In beamforming algorithms, using different techniques complex weights are calculated and applied to the signals from the smart antenna array elements to enhance signals of interest and suppress signals not of interest. In this article Least Mean Square(LMS) technique, Recursive Least Square(RLS)technique and Constant Modulus (CMA)technique adaptive beamforming algorithms are implemented, analyzed and compared using MATLAB simulations to help users to choose amongst them as per the their need, ease and suitability

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