OFDM Signal Dete
OFDM Signal Detection Based on Auto-Correlation and
Kurtosis
Quan Qi Niu1, Jin
Young Kim1, Asmatullah Chaudhry 1, 2, So Hee
Min 1, Seung Ho Choi3, Hyung Jung Kim4,
Chang Joo Kim4
1. School of Electronics & Computer Engineering,
Chonnam National University, Gwangju, South Korea
2. HRD, PINSTECH, P.O. Nilore, Islamabad
3. Dept. of Computer Science, Dongshin University,
Naju, South Korea
4. Spectrum Engineering Research Team, Radio
Technology Research Department, ETRI, South Korea
[email protected], [email protected], [email protected], [email protected], [email protected],[email protected], [email protected]
Abstract: The spectrum sensing problem has augmented new scenarios
with cognitive radio and opportunistic spectrum access concepts. It is one of
the most challenging issues in cognitive radio systems. In this paper, we present
a novel technique to sense and blindly detect OFDM signal based on
auto-correlation and kurtosis. We carryout performance analysis of the proposed
approach at various channel conditions and effect of increase in sample length
of the sensed signal. Further, threshold value to decide the existence of OFDM
signal is calculated. In addition, for 100 % detection rate, we perform an
analysis of various pilot allocation strategies in OFDM signal and consequently
its effect on detector performance. Detector performance improves further by
using frequency spaced – all time (combo-pattern) pilot allocation in OFDM
signal by 1dB to 3dB as compared with lattice and block type pilot allocation
strategies. Experimental results show that the proposed approach can be successfully
used to detect OFDM signal blindly in cognitive radio with 0 % false alarm
rate.
[Niu QQ, Kim JY, Chaudhry
A, Min SH, Choi SH, Kim HJ, Kim CJ. Robust OFDM Signal Detection
Technique Based on Auto-Correlation and Kurtosis. Life Sci J 2013;10(1):1589-1598]
(ISSN: 1097-8135).http://www.lifesciencesite.com
Keywords: OFDM signal detection, cognitive radio, auto-correlation, kurtosis
