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Chirp信号具有较强的抗干扰、抗多径效应和抗多普勒衰减以及良好的频带利用率等优点,因此在通信、声纳、雷达等领域具有广泛的应用。而在通信领域中,工程实践中接收到的Chirp信号常含有大量的干扰及噪声,影响通信质量。针对Chirp信号的噪声干扰问题,以电台采集的语音作为噪声样本,在Matlab上分别采用语音线性预测分析(LPC)和小波分析的方法对含噪Chirp信号进行去噪研究。实验获得了良好的去噪效果,最后对两种去噪方式下的信噪比和误码率性能进行了对比评估,结论表明小波分析的去噪效果更为显著。
Chirp signal has a strong anti-interference, anti-multipath and anti-Doppler attenuation and good band utilization, etc., so in communications, sonar, radar and other fields has a wide range of applications. In the field of communication, the Chirp signal received in engineering practice often contains a lot of interference and noise, affecting the communication quality. Aiming at the noise interference problem of Chirp signal, the speech collected by the radio station is taken as the noise sample, and the speech noise linearization analysis (LPC) and wavelet analysis are respectively used to denoise the noisy Chirp signal. The experimental results show that the denoising effect is good. Finally, the SNR and BER performance of the two denoising methods are compared and evaluated. The conclusion shows that the wavelet denoising effect is more significant.