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提出了一种基于非线性盲辨识的自适应数字接收机技术。由于宽带雷电信号的时频特征未知或时变,在频域对宽带数字接收机输出信号中的谐波与互调分量进行识别和分选,并以其短时能量最小化作为其非线性行为模型参数的盲辨识准则,利用最速下降算法实现模型参数的自适应提取和更新,然后在线实时地对接收机输出信号进行非线性补偿。实验结果表明,该盲辨识数字接收技术可以将整机的无杂散失真动态范围(SFDR)提高近20dB,极有利于在强干扰存在时对微弱信号的接收与检测。
An adaptive digital receiver technology based on non-linear blind identification is proposed. Because the time-frequency characteristics of broadband lightning signals are unknown or time-varying, the harmonics and intermodulation components in the output signals of the wideband digital receiver are identified and sorted in the frequency domain, and their short-time energy minimization is taken as their nonlinear behavior Blind identification criterion of the model parameters, the steepest descent algorithm to adaptively extract and update the model parameters, and then nonlinearly compensate the receiver output signal in real time. The experimental results show that this blind identification digital receiving technology can improve the SFDR of the whole machine by nearly 20dB, which is very beneficial for the reception and detection of weak signals in the presence of strong interference.