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Volume 42 Issue 10
Oct.  2020
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Xiaolei HUO, Hongzhi ZHAO, Ying LIU, Xiaohui LI, Xin WANG, Youxi TANG. Adjacent Channel Interference Suppression Based on Deconvolution of Interference Signal’s Out-of-band Component[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2437-2444. doi: 10.11999/JEIT190704
Citation: Xiaolei HUO, Hongzhi ZHAO, Ying LIU, Xiaohui LI, Xin WANG, Youxi TANG. Adjacent Channel Interference Suppression Based on Deconvolution of Interference Signal’s Out-of-band Component[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2437-2444. doi: 10.11999/JEIT190704

Adjacent Channel Interference Suppression Based on Deconvolution of Interference Signal’s Out-of-band Component

doi: 10.11999/JEIT190704
Funds:  The National Natural Science Foundation of China (61771107, 61701075, 61601064, 61531009), The National Key R&D Program of China (2018YFB1801903), Sichuan Science and Technology Program (2019JDRC0006)
  • Received Date: 2019-09-10
  • Rev Recd Date: 2020-02-28
  • Available Online: 2020-04-07
  • Publish Date: 2020-10-13
  • In Adjacent Channel Interference (ACI) suppression, in order to obtain the nonlinear characteristics of interference signal for reconstruction and cancellation, the receiver needs to use high-sampling-rate wideband Analog-to-Digital Converter (ADC) to sample interference signal, which will greatly increase the cost of the receiver. To solve the problem, a ACI suppression method based on deconvolution of interference signal’s out-of-band component is proposed in this paper. By using the known out-of-band nonlinear component, the influence between adjacent frames is calculated and eliminated, and then the narrow band linear convolution frame is constructed from the partial convolution frame. Finally, the original wide band signal is recovered by regularized least square method, thus reducing the ADC sampling rate. The simulation results show that when the sampling rate is only 1/3 of the traditional scheme, the residual interference brought by the proposed method is not higher than the noise floor of 6 dB.
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