Amplitude and phase errors calibration method in satellite-borne dynamic power allocation network

被引:0
|
作者
Tang Q. [1 ]
Jiang J.-M. [1 ]
Xia M. [2 ]
机构
[1] Electrical Engineering College, Xi'an University of Posts & Telecommunications, Xi'an
[2] Communication and Information Engineering College, Xi'an University of Science and Technology, Xi'an
来源
基金
中国国家自然科学基金;
关键词
Amplitude and phase errors calibration; Dynamic power allocation; Satellite communication; ZCZ sequence;
D O I
10.11959/j.issn.1000-436x.2017078
中图分类号
学科分类号
摘要
For the mobile communication satellite each beam communication traffic distribution was not balanced, leading to differences in transmission power of downlink beam. The implementation architectures of dynamic power allocation network was given, which could allocate the transmitting beam power automatically according to the traffic demand, at the same time ensured the high efficiency of power amplifier. Because the performance of dynamic power allocation network was severely impaired by the mutual coupling among signals when amplitude/phase mismatch was existed, which led to a sharp drop in beam performance. A calibration method for the amplitude and phase errors was proposed. The decoupling of calibration signal was realized by using the cross-correlation orthogonal characteristic of the orthogonal zero-correlation zone (ZCZ) sequences in the zero correlation interval, and communication was free from calibration by reducing the transmit power for the excellent self-correlation characteristic of the ZCZ sequences. Performance simulation and far field test show that under the condition that the calibration signal power is less than the normal signal 10 dB, the amplitude error is less than 0.1 dB, the phase error is less than 0.3°, and the gain loss within the main lobe is less than 0.2 dB after calibration. © 2017, Editorial Board of Journal on Communications. All right reserved.
引用
下载
收藏
页码:1 / 7
页数:6
相关论文
共 16 条
  • [1] Yi K.C., Li Y., Sun C.H., Et al., Recent development and its prospect of satellite communication, Journal on Communications, 36, 6, pp. 1-16, (2015)
  • [2] Li Y., Tian B., Yi K.C., Et al., A broadband mobile communication system based on multi-beam GEO satellite, Systems Engineering and Electronics, 38, 2, pp. 400-408, (2016)
  • [3] Wang D., Wang C., Wu Y., Analysis of the effects of the amplitude-phase errors on spatial spectrum and resolving performance of the MUSIC algorithm, Journal on Communications, 31, 4, pp. 55-63, (2010)
  • [4] Kim J., Yang H., Jung B., Et al., Blind calibration for a linear array with gain and phase error using independent component analysis, IEEE Antennas and Wireless Letters, 9, 10, pp. 1259-1262, (2010)
  • [5] Li Y.M., Er M.H., Theoretical analyses of gain and phase error calibration with optimal implementation for linear equispaced array, IEEE Transactions on Signal Processing, 54, 2, pp. 712-723, (2006)
  • [6] Cao S.H., Ye Z.F., Xu D.Y., Et al., A hadamard product based method for DOA estimation and gain-phase error calibration, IEEE Transactions on Aerospace and Electronic Systems, 49, 2, pp. 1224-1233, (2013)
  • [7] Liu A., Liao G., Zeng C., Et al., An eigenstructure method for estimating DOA and sensor gain-phase errors, IEEE Transactions on Signal Processing, 59, 12, pp. 5944-5956, (2011)
  • [8] Cao S., Ye Z., Xu D., Et al., A hadamard product based method for DOA estimation and gain-phase error calibration, IEEE Transactions on Aerospace and Electronic System, 49, 2, pp. 1224-1233, (2013)
  • [9] Ng B., Lie J., Er M., Et al., A practical simple geometry and gain/phase calibration technique for antenna array processing, IEEE Transactions on Antennas and Propagation, 59, 7, pp. 1963-1972, (2009)
  • [10] Jiang J.J., Duan F.J., Chen J., Et al., Two new estimation algorithms for sensor gain and phase errors based on different data models, IEEE Sensors Journal, 13, 5, pp. 1921-1930, (2013)