Int J Performability Eng ›› 2018, Vol. 14 ›› Issue (11): 2789-2797.doi: 10.23940/ijpe.18.11.p25.27892797

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Multiple Signals Estimation for Overlapping Nyquist Folding Receiver

Wan Zhu, Shuang Zhao*, Lei Chen, and Kang Chen   

  1. School of Electronic Information Engineering, Changchun University of Science and Technology, ChangChun, 130022, China
  • Submitted on ;
  • Contact: * E-mail address: S.ZhaoCUST@outlook.com
  • About author:Wan Zhu is a Master's student from the School of Electronic Information Engineering at Changchun University of Science and Technology, Changchun. His research interests include wireless communication system theory and technology.Shuang Zhao received his B.E. degree from Jilin University, Changchun in 2004 and his Ph.D. from Changchun University of Science and Technology in 2013. He is currently an associate professor in the School of Electronic Information Engineering at Changchun University of Science and Technology. His current research interests include signal processing and microwave communication.Lei Chen graduated from Changchun University of Science and Technology with a bachelor's degree, Master's degree, and Ph.D. He is currently an associate professor in the School of Electronic Information Engineering at Changchun University of Science and Technology. His research interests include intelligent signal processing and radar signal processing.Kang Chen is a Master's student in the School of Electronic Information Engineering at Changchun University of Science and Technology. His research interest is wireless communication.

Abstract: The estimation of multiple signals across an extremely wide radio frequency bandwidth is a problem that is relevant to a large number of fields. In this paper, an overlapping division method of Nyquist Folding Receiver (NYFR) is proposed. A typical NYFR allows multiple Nyquist zones to be directly undersampled and then folded into a continuous time analog interpolation filter. The folding is achieved by undersampling the RF spectrum with a stream of signals that have different characteristics. However, the signals after modulation have a certain bandwidth that may be eliminated by the baseband filter. The overlapping structure proposed in this paper can avoid this situation. It achieves good and stable detection performance over the whole frequency band of the receiver. The NYFR folds all the signals of different Nyquist zones into the same band. The signals that belong to different Nyquist zones may cover each other. To solve this problem, the searching algorithm is presented. In the numerical results we show that, in the proposed framework, the overlapping NYFR has excellent detection performance.

Key words: multiple signals, searching algorithm, overlapping Nyquist zones, ultra-wide band