Title :
A VLSI architecture for multiple antenna eigenvalue-based spectrum sensing
Author :
Safavi, Seyede Mahya ; Shabany, Mahdi
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Abstract :
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.
Keywords :
CMOS integrated circuits; VLSI; antenna arrays; discrete wavelet transforms; eigenvalues and eigenfunctions; fast Fourier transforms; signal detection; CMOS technology; FFT-based EBD algorithm; area-efficient VLSI architecture; bandwidth 40 MHz; discrete wavelet packet transform; eigenvalue-based detection; energy detection; low-power VLSI architecture; multiple antenna eigenvalue; power 78 mW; real-time VLSI architecture; signal detection; size 0.18 mum; spectrum sensing; Antennas; Covariance matrix; Eigenvalues and eigenfunctions; Noise; OFDM; Sensors; Very large scale integration;
Conference_Titel :
Electronics, Circuits and Systems (ICECS), 2012 19th IEEE International Conference on
Conference_Location :
Seville
Print_ISBN :
978-1-4673-1261-5
Electronic_ISBN :
978-1-4673-1259-2
DOI :
10.1109/ICECS.2012.6463777
