一种基于OFDM系统的发射机参数联合估计方法

By employing training sequences and joint separation algorithms in OFDM systems, the IQ imbalance, nonlinearity, and multipath channel parameters of the transmitter are independently estimated, solving the problem of insufficient accuracy in existing technologies and achieving high-precision transmitter identification and authentication.

CN116389209BActive Publication Date: 2026-07-17JIANGSU UNIV OF SCI & TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JIANGSU UNIV OF SCI & TECH
Filing Date
2023-02-22
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies cannot accurately and independently estimate the IQ imbalance, nonlinearity, and multipath channel parameters of the transmitter in an OFDM system, thus failing to effectively serve as radio frequency fingerprints for transmitter identification and authentication.

Method used

A joint estimation method for transmitter parameters based on OFDM system is adopted. By setting up a transmitter structure with IQ imbalance and nonlinearity, a joint separation algorithm is used with training sequence to independently output the IQ imbalance coefficient, nonlinearity coefficient and multipath coefficient, and use them as radio frequency fingerprint for transmitter identification and authentication.

Benefits of technology

It achieves high-precision transmitter parameter estimation, which can be effectively used for transmitter identification and authentication, improving estimation accuracy and identification robustness.

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Abstract

本发明公开了一种基于OFDM系统的发射机参数联合估计方法,包括以下步骤:(1)设置具有IQ不平衡以及非线性的发射机的结构;(2)采用OFDM系统发射长度为N的训练序列d,且所述训练序列d包括不同幅度的序列;(3)所述发射机接收到训练序列后进行经过联合分离算法对所述发射机的参数进行联合分离,进而输出IQ不平衡系数、非线性系数和多径系数;(4)采用IQ不平衡系数、非线性系数和多径系数作为发射机的射频指纹,进行发射机的识别认证。本发明基于一个训练序列,在OFDM系统中能联合且分离的估计出IQ不平衡系数,非线性系数和多径系数,具有估计精度高,需要的训练序列少的优点。
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