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作 者:苏凯[1] 蒋宇中[1] 刘月亮[1] 张书南[1]
机构地区:[1]海军工程大学电子工程学院,湖北武汉430033
出 处:《通信技术》2011年第7期51-53,共3页Communications Technology
摘 要: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 good resistance to interference,multi-path effect and doppler frequency shift,and is thus widely applied in communication,sonar,radar and other fields.In engineering practice of communication,the received Chirp signal often contains lots of noise and interference,this would result in great influence on the communication quality.With the noise selected by radio as an example,the LPC tool and Wavelet analysis tool are respectively employed on Matlab,thus to implement signal de-noising,and a good result is aquired in the experiment.Finally,the performances of these two different tools are evaluated,and the conclusion is that the wavelet de-noising method performs better.
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