An Iterative Algorithm for the Compensation of Toeplitz Mutual Coupling in Uniform and Linear Arrays

Sellone, F.; Serra, Angelo

doi:10.1109/dspws.2006.265463

Cited by 16 publications

(10 citation statements)

References 11 publications

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“…Although the calibration effect was improved due to these methods, they were more suitable for the antenna arrays composed of wire elements. A kind of calibration method that suits for the antenna arrays composed of microstrip elements is the joint estimation method for the DOAs and calibration matrix [4][5][6]. However, two disadvantages exist for this kind of method.…”

Section: Introductionmentioning

confidence: 99%

Accurate mutual coupling calibration method for adaptive arrays with wide adaptability for element structures

Huang

Zhou

Bao

et al. 2014

2014 IEEE International Wireless Symposium (IWS 2014)

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The element pattern reconstruction method is proposed to calibrate the mutual coupling effect of adaptive arrays. The new method is characterized by the wide adaptability for element structures and high accurate calibration of mutual coupling effects. In the development of the new method, the relationship between the element patterns in the isolated state and those in the embedded state is established, and the calibration matrix is obtained by transforming the element patterns of the array. Two compact arrays composed of dipoles and microstrip antennas are designed to testify the effectiveness of the new method. For both arrays, more accurate DOA estimations are obtained due to the element pattern reconstruction method.

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Section: Introductionmentioning

confidence: 99%

Accurate mutual coupling calibration method for adaptive arrays with wide adaptability for element structures

Huang

Zhou

Bao

et al. 2014

2014 IEEE International Wireless Symposium (IWS 2014)

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“…However, the array manifold required huge storage and is more suitable for antenna arrays composed of wire antennas. The joint estimation methods (Friedlander & Weiss, 1991;Lin & Yang, 2006;Sellone & Serra, 2006;Khallaayoun et al, 2011), which can achieve the calibration matrix and the DOAs of incident signals, require more calculation time and multiple iterations to solve the calibration matrix and DOAs. It is not practical for application.…”

Section: Introductionmentioning

confidence: 99%

An Improved Method for Mutual Coupling Calibration with Application in Wide-Angle Direction-of-Arrival Estimations

et al. 2015

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An improved element pattern reconstruction method is introduced to calibrate the mutual coupling effect of antenna arrays, and its applications in wide-angle direction-of-arrival estimation are presented. In this method, direction-of-arrival estimations and a calibration matrix are achieved by alternate iteration. The improved method can achieve a more accurate calibration matrix and direction-of-arrivals with less calculation time and iterations than the joint estimation methods for direction-ofarrivals and calibration matrix. Additionally, the angle ranges of direction-of-arrival estimations can be widened by this method for practical antenna arrays. The validity was verified by some numerical examples with a microstrip antenna array.

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“…As a result, a self-calibration algorithm is presented for L-shaped array in the presence of mutual coupling. The proposed self-calibration algorithm transforms joint estimation problem about DOA and mutual coupling coefficients into cascaded estimation problem, which means that we firstly estimate DOA by searching spectrum peak, and then estimate coupling coefficients to avoid huge computation because of multi-dimensional search and global convergence issue due to iterative [7] .…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Self-Calibration Algorithm for L-shaped Array

Wu¹,

Chen²

2009

2009 International Conference on Measuring Technology and Mechatronics Automation

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A self-calibration algorithm (SAL: self-calibration algorithm for L-shaped array) is presented for L-shaped array in the presence of mutual coupling. The proposed algorithm utilizes special mutual coupling characteristic of L-shaped array to decouple the signal source information (DOA) and coupling coefficients of antenna array so that two kinds of parameter estimations can be realized without any calibration sources. This literature puts emphasis on the performance analysis of new proposed algorithm in the presence of unknown mutual coupling. Simulation results demonstrate that the proposed self-calibration algorithm can achieve the high resolution under the condition of unknown coupling. Meanthile, it possesses a better performance when SNR is larger than 15 dB and snapshot is larger than 150, which mean the estimation of coupling matrix is close to the true value.

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An Iterative Algorithm for the Compensation of Toeplitz Mutual Coupling in Uniform and Linear Arrays

Cited by 16 publications

References 11 publications

Accurate mutual coupling calibration method for adaptive arrays with wide adaptability for element structures

Accurate mutual coupling calibration method for adaptive arrays with wide adaptability for element structures

An Improved Method for Mutual Coupling Calibration with Application in Wide-Angle Direction-of-Arrival Estimations

Performance Analysis of Self-Calibration Algorithm for L-shaped Array

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