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为了解决传统阈值函数中抑制干扰与保留信号有效突变区域和信号高频细节之间的矛盾,提出一种基于新阈值函数的小波降噪方法。介绍了传统小波阈值函数降噪方法,根据小波阈值降噪方法的特点构建一种新阈值函数,并进行风洞试验验证,用硬、软阈值以及新阈值方法对X元信号进行处理,将经过不同降噪方法处理后得出的CL-a曲线进行对比。试验结果表明:该方法与传统函数方法相比具有明显的优越性,一方面其处理后的试验数据结果与阶梯试验数据吻合度更高;另一方面该方法在抑制干扰影响的同时,能够有效捕获到飞行器模型在突变区域的有效高频信号。
In order to solve the conflict between the traditional threshold function of suppressing interference and preserving the effective mutation region of signal and the high frequency details of the signal, a novel wavelet denoising method based on the new threshold function is proposed. The traditional wavelet threshold function denoising method is introduced. According to the characteristics of the wavelet threshold denoising method, a new threshold function is constructed and verified by wind tunnel. The hard and soft thresholds and the new threshold method are used to process the X - The CL-a curves obtained after different noise reduction methods are compared. The experimental results show that this method has obvious superiority compared with the traditional function method. On the one hand, the experimental data processed by the method is in good agreement with the step test data. On the other hand, this method can effectively suppress the interference Capture the effective high-frequency signal of the aircraft model in the abrupt area.