Very low complexity variable resolution filter banks for spectrum sensing in cognitive radios using multi-stage coefficient decimation

  • Authors:

  • Mengda Lin;A. P. Vinod;Chong Meng Samson See

  • Affiliations:

  • School of Computer Engineering, Nanyang Technological University, Singapore;School of Computer Engineering, Nanyang Technological University, Singapore;DSO National Laboratories, Singapore

  • Venue:
  • WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Conventional filter bank-based spectrum sensing methods employ uniform discrete Fourier transform filter bank (DFTFB). In this paper, we propose a multi-stage coefficient decimation filter bank (MS-CDFB) that can provide variable sensing resolution for wideband spectrum sensing in cognitive radios. From an initial fixed-coefficient modal filter, a filter bank that has multiple passbands of different passband widths can be obtained using coefficient decimation. Design examples show that the multiplication complexity of the proposed MS-CDFB is about one-seventh of that of the DFTFB. Furthermore, MS-CDFB does not have the overhead of DFT computation that exist in DFTFB. The proposed very low complexity MS-CDFB offers better sensing accuracy compared to that of the DFTFB.