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A VLSI architecture for multiple antenna eigenvalue-based spectrum sensing

Safavi, S. M ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1109/ICECS.2012.6463777
  3. Publisher: 2012
  4. Abstract:
  5. An Eigenvalue-based detection (EBD) scheme, is proposed as an efficient method to overcome the noise uncertainty and the SNR wall problem in conventional energy detection (ED) schemes. Despite remarkable efforts made to analyze the EBD performance, a VLSI implementation is missing in literature. In this paper, a new FFT-based EBD algorithm is introduced, which eliminates the need for filter banks and discrete wavelet packet transform to channelize the input signal. The proposed method enables the utilization of the EBD algorithm in high-resolution spectrum sensing approaches. Moreover, it enables the detection of signals with SNRs as low as -10 dB. A low-power, area-efficient yet real-time VLSI architecture is developed for the algorithm, which is implemented in a 0.18μm CMOS technology. The implemented design occupies a total area of 3.4mm2 and dissipates 78mW for a 40 MHz sensing bandwidth consisting of 32 sub-channels
  6. Keywords:
  7. Area-Efficient ; CMOS technology ; Discrete wavelet packet transforms ; Eigenvalue-based detections ; Energy detection ; High-resolution spectra ; Low Power ; Multiple antenna ; Noise uncertainties ; SNR walls ; Spectrum sensing ; Subchannels ; VLSI architectures ; VLSI implementation ; Algorithms ; CMOS integrated circuits ; Filter banks ; Signal detection ; Signal to noise ratio ; VLSI circuits ; Eigenvalues and eigenfunctions
  8. Source: 2012 19th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2012, 9 December 2012 through 12 December 2012 ; December , 2012 , Pages 153-156 ; 9781467312615 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6463777