一种改进的罗兰C信号联合去噪方法

模拟滤波器精度低,去噪能力较差。为了能够有效去噪,提出了多尺度阈值与FIR滤波联合去噪的方法。利用该方法,在改进阈值算法下对实际采集的罗兰C信号进行了仿真分析与比较。结果表明,改进的阈值算法能够更好的反映小波分解系数细节部分的动态变化,提出的联合去噪方法能够有效滤除噪声,对罗兰C接收机的数字化设计具有重要参考价值。

Improved joint denoise method for Loran-C signal

Analog filter has lower precision,and its capacity of denoising is much inferior.In order to smooth noise,joint denoising method based on multi-measures threshold and FIR filter is presented.After improving threshold algorithm,denoising effects on real Loran-C signal using this method are simulated and compared.The results show that the improved threshold algorithm can reflect the dynamic change of the details of wavelet decomposition coefficients more effectively,and the presented method can eliminate the noise effectively,which has important significance for designing digital Loran-C receiver.