TY - GEN
T1 - Joint Method for XPIC, Equalization and IQ Imbalance Compensation in Space-Air-Ground Broadband Dual-Polarized Systems
AU - Wang, Haoran
AU - Wang, Shili
AU - Luo, Gen
AU - He, Qi
AU - Lu, Yezhou
AU - Yang, Kai
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - In the integrated space-air-ground cooperative sensing and communication scenario, massive sensing data necessitates high-speed transmission, while ensuring reliable data delivery confronts the combined challenges of cross-polarization interference, IQ imbalance, and multipath effects. To address the efficient interference suppression requirements for zero-IF dual-polarized receiver architectures in integrated space-air-ground systems, this paper proposes a fully blind joint processing method in the time domain for broadband dual-polarized signals, incorporating XPIC, equalization, and IQ compensation. Compared to step-by-step processing, the joint processing method can achieve global optimization with faster convergence speed. For different scenarios, the adaptive coefficients of the transversal filter are updated using different algorithms, supporting various modulation schemes including PSK, APSK, and QAM. The reconfigurable loop topology architecture enables dynamic adjustment of processing sequence based on channel conditions. Simulations demonstrate that this method can adapt to multipath signals from LEO satellites and UAVs, tolerate 2 dB amplitude and 12° phase imbalance in IQ components, and provide over 30 dB XPI suppression gain, making it suitable for high-speed data transmission scenarios in integrated space-air-ground cooperative sensing and communication systems.
AB - In the integrated space-air-ground cooperative sensing and communication scenario, massive sensing data necessitates high-speed transmission, while ensuring reliable data delivery confronts the combined challenges of cross-polarization interference, IQ imbalance, and multipath effects. To address the efficient interference suppression requirements for zero-IF dual-polarized receiver architectures in integrated space-air-ground systems, this paper proposes a fully blind joint processing method in the time domain for broadband dual-polarized signals, incorporating XPIC, equalization, and IQ compensation. Compared to step-by-step processing, the joint processing method can achieve global optimization with faster convergence speed. For different scenarios, the adaptive coefficients of the transversal filter are updated using different algorithms, supporting various modulation schemes including PSK, APSK, and QAM. The reconfigurable loop topology architecture enables dynamic adjustment of processing sequence based on channel conditions. Simulations demonstrate that this method can adapt to multipath signals from LEO satellites and UAVs, tolerate 2 dB amplitude and 12° phase imbalance in IQ components, and provide over 30 dB XPI suppression gain, making it suitable for high-speed data transmission scenarios in integrated space-air-ground cooperative sensing and communication systems.
KW - Joint Algorithm
KW - Space-Air-Ground Integrated System
KW - Zero-IF Dual-Polarization Architecture
UR - https://www.scopus.com/pages/publications/105032434061
U2 - 10.1109/VTC2025-Fall65116.2025.11310775
DO - 10.1109/VTC2025-Fall65116.2025.11310775
M3 - Conference contribution
AN - SCOPUS:105032434061
T3 - IEEE Vehicular Technology Conference
BT - 2025 IEEE 102nd Vehicular Technology Conference, VTC 2025-Fall - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE 102nd Vehicular Technology Conference, VTC 2025
Y2 - 19 October 2025 through 22 October 2025
ER -