中文摘要：

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。

英文摘要：

A blind nonlinear identification based adaptive software radio receiver architecture is proposed and validated.Since the time-frequency domain characteristics of the lightning signal being unknown or time-varying,the harmonic and inter-modulation components in the output signal of the wideband digital receiver are automatically identified and extracted in the frequency domain,then a blind identification criterion for minimizing the short-time energy is designed.The steepest descent method is applied to iteratively extract and update the parameters of the nonlinear behavior model of the wideband digital receiver.Finally,the updated model is utilized to compensate the nonlinear distortion of the receiver in real-time.The experimental results show that the spurs free dynamic range（SFDR） of the blind identification digital receiver could achieve about 20 dB higher than that of the traditional receiver under multi-tone signal or band-pass modulating signal exciting.