Similar articles

Abstract: Based on the dual uniform circular array, a novel method is proposed to estimate the direction-of-arrival (DOA) and jointly calibrate gain-phase errors, position errors, and mutual coupling errors. In this paper, only one auxiliary source is required to generate three time-disjoint calibration sources with the help of the rotation platform. Subsequently, according to the principle that the signal subspace is orthogonal to the noise subspace, the cost function is constructed. The alternating iteration method is used to estimate the coefficients of the three kinds of errors. During the process, the proposed algorithm makes full use of the structural characteristics of the array when estimating mutual coupling errors, while the signal phase matrix is used to eliminate the phase influence caused by the delay in signal arrival at the antenna array when estimating gain-phase errors and position errors. Compared with the algorithm using multidimensional nonlinear search, the proposed algorithm has lower computational complexity. Moreover, our algorithm does not require additional auxiliary sensors. Simulation results demonstrate that the proposed algorithm is effective and can precisely and comprehensively calibrate the errors in a dual uniform circular array.

基于双圈均匀圆阵的综合误差校正方法

[1]Belfiori F, Monni S, van Rossum W, et al., 2012. Antenna array characterisation and signal processing for an FM radio-based passive coherent location radar system. IET Radar Sonar Nav, 6(8):687-696.

[2]Chen H, 2009. Research on Some Aspects of High Resolution Direction of Arrival Estimation. PhD Thesis, Huazhong University of Science and Technology, Wuhan, China (in Chinese).

[3]Cheng F, Gong ZP, Zhang C, et al., 2017. A new rotation measurement-based method for array gain-phase errors calibration. J Electron Inform Technol, 39(8):1899-1905 (in Chinese).

[4]Friedlander B, Weiss AJ, 1991. Direction finding in the presence of mutual coupling. IEEE Trans Antenn Propag, 39(3):273-284.

[5]Guo YD, Zhang YS, Tong NN, et al., 2017. Angle estimation and self-calibration method for bistatic MIMO radar with transmit and receive array errors. Circ Syst Signal Process, 36(4):1514-1534.

[6]Hu XQ, 2009. Basis Study on the Application of Super- Resolution Spatial Spectrum Estimation Technique. PhD Thesis, National University of Defense Technology, Changsha, China (in Chinese).

[7]Jia YK, Bao Z, Wu H, 1996. A new calibration technique with signal sources for position, gain and phase uncertainty of sensor array. Acta Electron Sin, 24(3):47-52 (in Chinese).

[8]Jin R, Li QX, Dong J, et al., 2010. Receiving array calibration method for amplitude and phase errors at low SNR. J Microw, 26(3):68-72, 82 (in Chinese).

[9]Li WX, Lin JZ, Zhang Y, et al., 2016. Joint calibration algorithm for gain-phase and mutual coupling errors in uniform linear array. Chin J Aeronaut, 29(4):1065-1073.

[10]Lin M, Yang L, 2006. Blind calibration and DOA estimation with uniform circular arrays in the presence of mutual coupling. IEEE Antenn Wirel Propag Lett, 5(1):315-318.

[11]Liu S, Yang LS, Yang SZ, 2016. Robust joint calibration of mutual coupling and channel gain/phase inconsistency for uniform circular array. IEEE Antenn Wirel Propag Lett, 15:1191-1195.

[12]Ng BC, See CMS, 1996. Sensor array calibration using a maximum-likelihood approach. IEEE Trans Antenn Propag, 44(6):827-835.

[13]Sellone F, Serra A, 2007. A novel online mutual coupling compensation algorithm for uniform and linear arrays. IEEE Trans Signal Process, 55(2):560-573.

[14]Wang D, 2011. Research on the Errors Calibration Techniques in the Array Signal Processing. PhD Thesis, PLA Information Engineering University, Zhengzhou, China (in Chinese).

[15]Wang D, 2015. Improved active calibration algorithms in the presence of channel gain/phase uncertainties and sensor mutual coupling effects. Circ Syst Signal Process, 34(6): 1825-1868.

[16]Wang D, Wu Y, 2015. The multiplicative array errors calibration algorithms in the presence of multipath. Sci China Inform Sci, 45(2):270-288 (in Chinese).

[17]Wang M, Ma XC, Yan SF, et al., 2015. An auto-calibration algorithm for uniform circular array with unknown mutual coupling. IEEE Antenn Wirel Propag Lett, 15(6): 12-15.

[18]Wang YL, Chen H, Peng YN, et al., 2004. Theory and Algorithms of Spatial Spectrum Estimation. Tsinghua University Press, Beijing, China, p.419-443 (in Chinese).

[19]Wu N, Qu ZY, Si WJ, et al., 2016. DOA and polarization estimation using an electromagnetic vector sensor uniform circular array based on the ESPRIT algorithm. Sensors, 16(12):2109.

[20]Ye ZF, Liu C, 2008. On the resiliency of MUSIC direction finding against antenna sensor coupling. IEEE Trans Antenn Propag, 56(2):371-380.

[21]Yuan ZY, Niu YM, Yang G, et al., 2014. A calibration method for sensor gain/phase and position errors of array antenna. J Electron Inform Technol, 36(9):2232-2237 (in Chinese).

[22]Zhang JJ, Chen H, Li S, et al., 2017. Self calibration of mutual coupling for dual uniform circular array. J Electron Inform Technol, 39(7):1539-1545 (in Chinese).

[23]Zhang JJ, Chen H, Ji ZY, et al., 2018. Direction characteristics for dual circular array. Chin J Radio Sci, 33(1):93-104 (in Chinese).