Analysis of minimum variance distortionless response and least mean square beamforming algorithm for smart antenna

Mainkar, Prakash Mohan; Jagtap, Gunjan N.; Mulay, G. N.

doi:10.1109/iota.2016.7562724

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…The main beamforming algorithms include Least Mean Square (LMS) [18], Sample Matrix Inversion (SMI) [19], and Minimum Variance Distortionless Response (MVDR) [18,20]. In this paper, the proposed array extension technique is combined with MVDR.…”

Section: Beamforming Based On Steering Vector Conjugate Symmetry Arraymentioning

confidence: 99%

Symmetric Extension of Steering Vectors and Beamforming

Ma¹,

Pan²

2018

PIER M

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Aiming at problems that interpolated array has large amount of computation and high sensitivity to transformation angle and interpolated step, a new array extension algorithm which is symmetric extension steering vector is proposed. In this paper, two properties of the conjugate of received data and the source covariance matrix being a real diagonal matrix are exploited to extend the dimensions of the covariance matrix. However, the essence of this extension method is the symmetric extension of the steering vector. The high complexity and degradation of the performance of interpolated array beamforming caused by the sensitivity of angle and interpolated step are improved. Numerical simulations confirm the validity of the proposed algorithm. Compared with existing algorithms, the proposed algorithm is not affected by the angle range of transformation and interpolated step. Besides, the complexity of array extension using this proposed algorithm is much lower than the interpolated transformation method.

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Section: Beamforming Based On Steering Vector Conjugate Symmetry Arraymentioning

confidence: 99%

Symmetric Extension of Steering Vectors and Beamforming

Ma¹,

Pan²

2018

PIER M

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“…An SAP was designed for MVDR beamforming by using the RLS algorithm in [11]. Since then, many researchers have worked on converting the MVDR problem into an RLS minimisation problem [12,13].…”

Section: Introductionmentioning

confidence: 99%

Maximum Element Dichotomous Coordinate Descent Based Minimum Variance Distortionless Response DoA Estimator

et al. 2021

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In this paper, we devise an efficient approach for estimating the direction of arrival (DoA). The proposed DoA estimation approach is based on minimum variance distortionless response (MVDR) criteria within a recursive least squares (RLS) framework. The dichotomous coordinate descent algorithm is used to modify the calculation of the output power spectrum, and a diagonal loading term is applied to improve the robustness of the DoA estimator. These modifications allow us to both reduce the computational complexity of the RLS DoA estimator and increase the estimation performance. A numerical comparison confirms that the proposed DoA estimator outperforms the conventional RLS DoA estimator in terms of the computational complexity and DoA estimation error. Finally, the proposed theoretical DoA estimator is implemented on a field-programmable gate array (FPGA) board to verify the feasibility of the method. The numerical results of a fixed-point implementation demonstrate that the performance of the proposed method is very close to that of its floating-point counterpart.

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Optimize Cellular Network Performance Using Phased Arrays

Bashar

Ismail

Talib

2020

IOP Conf. Ser.: Mater. Sci. Eng.

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In conventional telecommunication systems, the base station does not know the user equipment location; it broadcast in all directions to fully cover the entire cell area. This represents power waste in addition to transmitting the signal in directions where users do not exist, which seen as interference for co-channel cells. This reduces SNR that limits the capacity and impedes the use of the spectrum effectively. This consideration led to the use of smart antenna (SA) technology that uses the Space-division multiple access (SDMA technique, Based on extracting spatial data for users within the network. In this work, Phased Arrays are used to improve the performance of the GSM network in terms of (decrease power, raise coverage, increase capacity, reduce co-channel interference) with the comparison to conventional antennas. Simulation has studied and realized using Matlab, simulation results, and performances have presented. Introduction.

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Analysis of minimum variance distortionless response and least mean square beamforming algorithm for smart antenna

Cited by 4 publications

References 10 publications

Symmetric Extension of Steering Vectors and Beamforming

Symmetric Extension of Steering Vectors and Beamforming

Maximum Element Dichotomous Coordinate Descent Based Minimum Variance Distortionless Response DoA Estimator

Optimize Cellular Network Performance Using Phased Arrays

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