Article Details

Title · Authors · Abstract · Keywords · DOI · References

System-level Modeling Method for Multi-Frequency Domain Coupled Signals

HE Runguo, LI Huang, WANG Jinglei

(Yangzhou Yu'an Electronic Technology Co., Ltd., Yangzhou 225000, China)

Section:Communication Engineering · Vol. 2026, Issue 9 · Pages:6-10 · 2096-4706(2026)09-0006-05 · CLC number:TN929.5 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2026.09.002

Abstract

To address the engineering challenges of wide spectral ranges, high nonlinearity, and difficulty maintaining energy consistency across ports caused by multi-frequency signal coupling, this study introduces a three-level integrated system-level modeling approach. At the top level, this approach uses Harmonic State Space (HSS) to describe switching and harmonic characteristics. The middle level employs envelope/baseband equivalence techniques to achieve wideband and narrowband unification. The bottom level utilizes sparse representation techniques for intermodulation operators to capture nonlinear and intermodulation effects. Through mapping and iterative methods, a unified model for strong and weak coupling is constructed. System-level modeling and verification are performed for a DC-DC switching power supply, a dual-mode (5G NR+LTE) transmitter, a power amplifier, and an antenna link. The experimental data demonstrate that across the entire frequency band, the Normalized Mean Square Error (NMSE) of this model is 3 dB lower than that of the traditional harmonic balancing method, with ACPR performance improved by approximately 2.8 dB. The system also maintains a ±1.2 dBμV peak EMI error constraint, enabling real-time simulation on a GPU/FPGA platform.

Keywords

multi-frequency-domain coupled signal; harmonic state space; envelope/baseband equivalent; intermodulation sparse representation; system-level modeling; engineering application

References

  1. [1] Liu Bo, Wang Chen, Tan Yuxuan, etc Multi dimensional multiplexed coherent transmission system at the kilokilometer level based on time-frequency domain joint data assisted MIMO equalization algorithm [J]. Acta Sinica, 2024, 52 (5): 1553-1561
  2. [2] Wu Shenhua, Lei Xiaoyan, Yu Cuiying Frequency domain vibration analysis of vehicle track structure based on spectral geometry method [J]. Vibration and Shock, 2025, 44 (12): 101-109
  3. [3] Su Chenbo, Liu Chongru, Wang Jinyuan, etc Modeling and Characteristic Analysis of D-PMSG Complex Domain Impedance Considering Frequency Coupling Characteristics [J]. Power System Automation, 2024, 48 (10): 118-128
  4. [4] Tang Hongbin, Li Zhixiang, Dong Jinyang, etc Fault diagnosis method for axial piston pump based on multi domain coupling modeling [J]. Machine Tool and Hydraulic, 2024, 52 (15): 233-240
  5. [5] Ren Guohui, Yang Chaojie Improved linear active disturbance rejection control and parameter tuning method for multi input and output coupled systems [J]. Thermal Power Engineering, 2024, 39 (4): 154-161170
  6. [6] Wu Xiangyu, Zhang Xiaohong, Xu Yin, etc Research progress and prospects on wideband oscillation analysis and suppression of microgrids (groups) [J]. Grid Technology, 2023, 47 (9): 3727-3745
  7. [7] Wang Jingyao, Wang Cheng, Xu Kangping, etc Opportunity constrained optimal energy flow calculation of regional electricity gas integrated energy system based on dynamic refinement modeling of gas network [J]. Electric Power Automation Equipment, 2023, 43 (3): 12-19
  8. [8] Zhang Lin, Zhang Haibo, Jiang Weiyong, etc Virtual synchronous machine power decoupling strategy based on adaptive dynamic virtual synchronous impedance [J]. Chinese Journal of Electrical Engineering, 2024, 44 (15): 6010-6023
  9. [9] Liu Bo, Wang Chen, Tan Yuxuan, etc Multi dimensional multiplexed coherent transmission system at the kilokilometer level based on time-frequency domain joint data assisted MIMO equalization algorithm [J]. Acta Sinica, 2024, 52 (5): 1553-1561
  10. [10] Tang Hongbin, Li Zhixiang, Dong Jinyang, etc Fault diagnosis method for axial piston pump based on multi domain coupling modeling [J]. Machine Tool and Hydraulic, 2024, 52 (15): 233-240

About the authors

He Runguo (June 1990-), male, Han nationality, from Yantai, Shandong, engineer, master's degree, research direction: computer science and technology.