In this chapter, the blind source separation technique is experimentally tested by using real transmitting and receiving equipment. In the case of changing different parameters, the BSS algorithm is used to separate the received mixed signals and demodulate the separated signals. At the same time, for the convenience of comparison, we compare the demodulated signal waveforms before and after separation. The experimental results show that when the two source signals are both single tone or square wave frequency modulation, when all other parameters being equal, the larger the carrier frequency interval, the better the separation effect; when other parameters remain unchanged, the larger the source signal power transmission, or the larger the SNR, the better the separation effect; when other parameters are unchanged, the greater the difference of incident angles between the two source signals, the better the separation effect.

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Experimental Experiment of BSS of Communication Signal

  • Weihong Fu

摘要

In this chapter, the blind source separation technique is experimentally tested by using real transmitting and receiving equipment. In the case of changing different parameters, the BSS algorithm is used to separate the received mixed signals and demodulate the separated signals. At the same time, for the convenience of comparison, we compare the demodulated signal waveforms before and after separation. The experimental results show that when the two source signals are both single tone or square wave frequency modulation, when all other parameters being equal, the larger the carrier frequency interval, the better the separation effect; when other parameters remain unchanged, the larger the source signal power transmission, or the larger the SNR, the better the separation effect; when other parameters are unchanged, the greater the difference of incident angles between the two source signals, the better the separation effect.