Maximum Likelihood Array Gain/Phase Calibration and Mutual Coupling Estimation in ULAs and UCAs

Abstract High-resolution array processing techniques are known to be sensitive to array modeling errors including array element displacements, mutual coupling, and array gain/phase perturbations. This paper considers array gain/phase calibration and mutual coupling estimation using a set of calibration sources with known locations. The proposed algorithms are based on maximum likelihood criterion. According to different application backgrounds, the waveform matrices of the calibration sources are assumed to be known or unknown, and two algorithms are proposed to solve the corresponding maximum likelihood estimation problems in the context of block coordinate descent method. Conditions for the existence of a solution are provided and Cramer-Rao bound for array gain/phase calibration and mutual coupling estimation are derived. The effectiveness and behavior of the proposed methods are illustrated by simulations.

[1]  T. Engin Tuncer,et al.  Array calibration with modified Iterative HOS-SOS (MIHOSS) algorithm , 2011, 2011 19th European Signal Processing Conference.

[2]  Harry L. Van Trees,et al.  Optimum Array Processing , 2002 .

[4]  Ralph Otto Schmidt,et al.  A signal subspace approach to multiple emitter location and spectral estimation , 1981 .

[5]  Petre Stoica,et al.  MUSIC, maximum likelihood, and Cramer-Rao bound , 1989, IEEE Transactions on Acoustics, Speech, and Signal Processing.

[6]  Chong Meng Samson See Method for array calibration in high-resolution sensor array processing , 1995 .

[7]  Dimitri P. Bertsekas,et al.  Nonlinear Programming , 1997 .

[8]  Athanassios Manikas,et al.  Array calibration in the presence of unknown sensor characteristics and mutual coupling , 2000, 2000 10th European Signal Processing Conference.

[9]  Guohui Yang,et al.  Pattern Null Steering Using the Cross Entropy Method by Controlling the Current Phases , 2011 .

[10]  B. C. Ng,et al.  Sensor-array calibration using a maximum-likelihood approach , 1996 .

[11]  Guisheng Liao,et al.  An Eigenstructure Method for Estimating DOA and Sensor Gain-Phase Errors , 2011, IEEE Transactions on Signal Processing.

[12]  Shao Jie,et al.  An Improved Beam Domain DOA Estimation Algorithm , 2011 .

[13]  Linjie Qian,et al.  Sensor Array Self-Calibration Based on GNSS Signal , 2011, 2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping.

[14]  Anthony J. Weiss,et al.  Direction finding in the presence of mutual coupling , 1991 .

[15]  A. Lee Swindlehurst,et al.  A Bayesian approach to auto-calibration for parametric array signal processing , 1994, IEEE Trans. Signal Process..

[16]  Thomas Kailath,et al.  Direction of arrival estimation by eigenstructure methods with unknown sensor gain and phase , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.