Title :
Decrease the demodulation threshold in FM demodulator with quadratic de-noising method
Author :
Wang, Wei ; An, Youwei ; Huang, Zhang ; Pang, Yu ; Yang, Keng
Author_Institution :
Coll. of Electron. Eng., Chongqing Univ. of Posts & Telecommun., Chongqing, China
Abstract :
The application of adaptive noise feedback control on a FM demodulator greatly decreases distortion and noise sensitivity in the demodulation of wide-band FM signals. In this paper, the approach for FM signal demodulation using the RLS algorithm of adaptive filters and noise decision feedback loop is proposed. The white noise signals can be effectively estimated and eliminated with the RLS algorithm of adaptive filters. FM modulation signal constant envelope characteristic decision feedback loop can be used to extend the threshold of signal-to-noise improvement in large index FM demodulation systems. Experimental simulation results shows that: Compared with a traditional digital demodulation, the antinoise performance of the novel FM demodulation model is greatly improved and the threshold of the novel FM demodulation model is 3dB lower than the others.
Keywords :
adaptive filters; demodulation; feedback; frequency modulation; least mean squares methods; signal denoising; white noise; FM demodulator; FM signal demodulation; RLS algorithm; adaptive filter; adaptive noise feedback control; demodulation threshold; noise decision feedback loop; quadratic denoising method; signal-to-noise improvement; white noise signal; wide-band FM signal; Adaptation models; Adaptive filters; Demodulation; Frequency modulation; Signal to noise ratio; RLS; frequency demodulation; noise feedback loop; threshold effects;
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4577-0320-1
DOI :
10.1109/ICECC.2011.6066501