Title :
Gain and Phase Autocalibration of Large Uniform Rectangular Arrays for Underwater 3-D Sonar Imaging Systems
Author :
Longtao Yuan ; Rongxin Jiang ; Yaowu Chen
Author_Institution :
Inst. of Adv. Digital Technol. & Instrum., Zhejiang Univ., Hangzhou, China
Abstract :
In this paper, a new calibration method for gain and phase errors in large uniform rectangle arrays is proposed for underwater 3-D sonar imaging systems. It requires only one calibrator source at an unknown position in the far field. An efficient and speedy three-step-iteration algorithm is performed first to provide a robust direction-of-arrival (DOA) estimator in the presence of gain and phase errors. It then follows with the gain and phase errors estimation using a spatial matched filter. Finally, a maximum a posteriori (MAP) exercise is executed to further adjust the estimated phase parameters and the source direction. The statistical performance of the proposed algorithm will be demonstrated and compared to representative methods. It will be shown that the proposed method is computationally effective and asymptotically efficient in Monte Carlo simulations.
Keywords :
Monte Carlo methods; array signal processing; calibration; direction-of-arrival estimation; iterative methods; matched filters; maximum likelihood estimation; sonar arrays; sonar imaging; spatial filters; DOA; Monte Carlo simulations; direction-of-arrival estimator; gain autocalibration; iteration algorithm; maximum a posteriori algorithm; phase autocalibration; spatial matched filter; underwater 3D sonar imaging systems; uniform rectangular arrays; Calibration; Direction-of-arrival estimation; Estimation; Noise; Sensor arrays; Vectors; Array signal processing; autocalibration; gain and phase error; underwater 3-D sonar imaging; uniform rectangular array (URA);
Journal_Title :
Oceanic Engineering, IEEE Journal of
DOI :
10.1109/JOE.2013.2266195