基于自适应LMS的导波雷达液位计回波识别与校正

非平稳及多奇异点的雷达回波信号包含虚假回波,影响液位回波信号的识别与液位测量.为解决雷达液位计的虚假回波干扰问题,提高液位识别与测量精度,提出一种回波识别与校正方法.将短时幅度函数与短时过零率函数结合,利用函数逐帧地对回波信号计算,识别液位回波信号;通过自适应最小均方误差进行系统的权矢量迭代,更新权系数,对回波信号进行处理,进行抑制虚假回波干扰.实验结果表明:该方法能够准确识别液位回波信号;液位测量精度可达到0.42％F.S,相比于其他去噪方法,该方法在抑制噪声的同时能较好地保留信号奇异性特征,有较好的鲁棒性.

Echo recognition and correction for guided wave radar level based on adaptive LMS

The radar echo signal of non-stationary and singular points usually contains false echoes,which affects the recognition and measurement of liquid level echo signal.In order to eliminate false echo interference and improve the recognition and meas-urement accuracy of the liquid level gauge,a method of echo recognition and correction based on adaptive least mean square (LMS)is proposed.The short-time amplitude function and short-time zero crossing rate function are combined to recognize the echo signal.The weight vector iteration and updating weight coefficients are obtained by LMS method.The echo signal is rec-ognized and the false echo interference is suppressed.The experimental results show that the level echo signal can be accurately recognized by this method,and level measurement accuracy can reach 0.47％ F.S.Compared with other denoising methods,a-daptive LMS can keep the signal singularity characteristics while suppressing the noise.Moreover,it has better robustness.