未知调制信号的盲载波检测

Ravi Kadlimatti
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引用次数: 2

摘要

本文提出了一种相位和/或幅度调制信号的盲载波识别方法。接收到的具有未知相位和/或调幅的信号的载波频率(fc)由信号的二阶导数与自身的比值确定。结果表明,该比值等于- (2πfc)2。二阶导数由高采样接收信号的连续差分估计。结果表明,估计二阶导数与高采样接收信号之比的平均值可以准确估计载波频率。由于接收信号中的正弦芯片在某些点周围是对称的,因此它们的卷积导致相关直至延迟。而定义上不对称的噪声与自身的卷积不会像相关的情况那样产生峰值。因此,为了减少加性噪声的影响,在计算二阶导数之前,接收信号的不同段彼此进行卷积,这些卷积输出相互关联。这导致更高的信噪比。该技术与带通滤波器组一起改善了存在噪声时基于二阶导数的载波检测方法的性能。将所提出的载波检测方法应用于M-PSK、QAM和CDMA信号,并通过均方根误差仿真给出了每种情况下载波检测方法在噪声条件下的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Blind Carrier Detection for Signals with Unknown Modulation
This paper proposes a blind carrier identification method for phase and/or amplitude modulated signals. The carrier frequency (fc) of the received signal with unknown phase and/or amplitude modulation is identified from the ratio of the second derivative of the signal with itself. It is shown that this ratio is equal to –(2πfc)2. The second derivative is estimated by successive differences of the highly sampled received signal. It is shown that average of the ratio of estimated second derivative to the highly sampled received signal gives an accurate estimate of the carrier frequency. Since sinusoidal chips in the received signal are symmetrical around certain points, their convolution results in correlation up to a delay. While convolution of the noise, which is not symmetric by definition, with itself does not result in a peak as in the case of correlation. Thus to reduce the additive noise effect, different segments of the received signal are convolved with themselves and these convolution outputs are cross-correlated before computing the second derivative. This results in higher signal-to-noise ratio. This technique along with a bandpass filter bank improves the performance of the second derivative based carrier detection method in the presence of noise. The proposed carrier detection method is applied to M-PSK, QAM and CDMA signals and its performance in noise for each case is presented using root mean square error simulations.
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