摘要
在建立超低频接收信号模型的基础上,对超低频接收信号误码率性能进行了分析。将小波降噪算法应用于超低频噪声处理中,通过Monte Carlo计算机仿真试验,对基于小波降噪和传统数字滤波的方法对模拟的超低频接收信号进行噪声处理,并对降噪后的误码率性能进行分析,结果表明,应用小波降噪的方法对超低频接收信号进行非线性噪声处理,比传统数字滤波的方法能带来更高的信噪比增益。
Based on the ELF received signal model, bit error rate of it be analyzed. Wavelet de-noising algorithm is applied in noise processing. By Monte Carlo computer simulation, noise buried in ELF signal is dealt with wavelet de-noising and traditional digital filter. Its quality of bit error rate is analyzed. Simulation results show that wavelet de-noising can get better gain in SNR than traditional digital filter.
出处
《武汉船舶职业技术学院学报》
2008年第1期15-17,25,共4页
Journal of Wuhan Institute of Shipbuilding Technology
关键词
超低频
小波降噪
数字滤波
误码率
extreme low frequency
wavelet de-noising
digital filter
bit error rate
