Adaptive amplitude and phase deviation compensation for phased-array radar receivers with digital beamforming

70 views

Authors

  • Vo Xung Ha Institute of Radar, Academy of Military Science and Technology
  • Vu Dinh Tuan Institute of Radar, Academy of Military Science and Technology
  • Tran Manh Quy Institute of Radar, Academy of Military Science and Technology
  • Nguyen Van Duy Institute of Radar, Academy of Military Science and Technology
  • Nhu Van Ba Institute of Radar, Academy of Military Science and Technology
  • Nguyen Viet Hung Artillery Officer School
  • Tran Van Nghia (Corresponding Author) Air Defence-Air Force Academy

DOI:

https://doi.org/10.54939/1859-1043.j.mst.97.2024.59-66

Keywords:

Digital distorter; Amplitude and phase mismatch compensation; Phased-array radar.

Abstract

 The article presents a method for compensating for amplitude and phase deviation among channels in phased-array radar receivers with digital beamforming. The digital distorter for amplitude and phase mismatch compensation is designed based on digitized signals to be suitable for practical implementation in FPGA chip. The architecture of the digital distorter performs calculations of nonlinear inverse characteristic among channels. Adaptive algorithms for adjusting the characteristics of the digital distorter are also presented. Simulation results of the distorter design using Matlab software are provided to demonstrate the effectiveness of the proposed method.

References

[1]. D. R. Morgan, Z. Ma, J. Kim, M. G. Zierdt and J. Pastalan, “A Generalized Memory Polynomial Model for Digital Predistortion of RF Power Amplifiers,” IEEE Transactions on Signal Processing, vol. 54, no. 10, pp. 3852-3860, (2006).

[2]. V. J. Mathews and G. L. Sicuranza, “Polynomial Signal Processing,” N. Y., USA: John Wiley & Sons, Inc. (2000).

[3]. F. Mkadem, A. Islam and S. Boumaiza, “Multi-Band Complexity-Reduced Generalized-Memory-Polynomial Power-Amplifier Digital Predistortion,” IEEE Transactions on Microwave Theory and Techniques, vol. 64, no. 6, pp. 1763-1774, (2016).

[4]. Z. Wang, W. Chen, G. Su, F. M. Ghannouchi, Z. Feng and Y. Liu, “Low Computational Complexity Digital Predistortion Based on Direct Learning With Covariance Matrix,” IEEE Transactions on Microwave Theory and Techniques, vol. 65, no. 11, pp. 4274-4284, (2017).

[5]. H. Le Duc, B. Feuvrie, M. Pastore and Y. Wang, “An Adaptive Cascaded ILA- and DLA-Based Digital Predistorter for Linearizing an RF Power Amplifier,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 66, no. 3, pp. 1031-1041, (2019).

[6]. S. Haykin, “Adaptive Filter Theory,” McMaster University, Canada (2014).

[7]. E. Abd-Elrady and L. Gan: “Adaptive predistortion of Hammerstein systems based on indirect learning architecture and prediction error method,” In Proceedings of the IEEE International Conference on Signals and Electronic Systems (ICSES’08), Krakow, Poland, pp. 389-392, (2008).

[8]. P. L. Gilabert, A. Cesari, G. Montoro, E. Bertran and J. -M. Dilhac, “Multi-Lookup Table FPGA Implementation of an Adaptive Digital Predistorter for Linearizing RF Power Amplifiers With Memory Effects,” in IEEE Transactions on Microwave Theory and Techniques, vol. 56, no. 2, pp. 372-384, (2008).

[9]. Tran Van Nghia and Bui Xuan Khoa, “Neural network-based nonlinear distortion correction of power amplifiers for UAV/drone video transmittion channel,” Journal of Military Science and Technology, Special issue, pp. 40-48, (2021).

Published

25-08-2024

How to Cite

Vo, X. H., Vũ Đình Tuấn, Trần Mạnh Quý, Nguyễn Văn Duy, Nhữ Văn Ba, Nguyễn Việt Hùng, and Trần Văn Nghĩa. “Adaptive Amplitude and Phase Deviation Compensation for Phased-Array Radar Receivers With Digital Beamforming”. Journal of Military Science and Technology, vol. 97, no. 97, Aug. 2024, pp. 59-66, doi:10.54939/1859-1043.j.mst.97.2024.59-66.

Issue

Section

Electronics & Automation

Categories

Most read articles by the same author(s)