Title :
The pilot-induced cyclostationarity approach for the OFDM WIFI identification
Author :
Alyaoui, Nouha ; Hnia, H.B. ; Kachouri, Abdennaceur ; Samet, Mounir
Author_Institution :
Electron. Labs. of Technol.´´s Inf. (L.E.T.I), Nat. Eng. Sch. of Sfax, Sfax, Tunisia
Abstract :
This paper reviews an approach for the automatic orthogonal frequency division multiplexing (OFDM)signals classification for the cognitive radio applied to the standard IEEE 802.11 (the WiFi: Wireless Fidelity system) identification. Detected transmissions are classified as single-carrier or multi-carrier. In the case of multi-carrier transmission, different parameters may be used to ensure the identification objective. In this paper, we will discuss the pilot parameter. First of all, we present the pilot induced cyclostationarity (PIC) algorithm to identify automatically the WiFi system. In the second part, we evaluate its performance by calculating the probability of correct classification and we make a comparison with other approaches presented in the literature.
Keywords :
OFDM modulation; cognitive radio; signal classification; wireless LAN; IEEE 802.11; OFDM signals classification; WiFi identification; cognitive radio; multi-carrier transmission; orthogonal frequency division multiplexing; pilot induced cyclostationarity; pilot-induced cyclostationarity approach; wireless fidelity system identification; Frequency modulation; IEEE 802.11 Standards; Mobile computing; OFDM; Object recognition; Signal to noise ratio; Cognitive Radio; Pilot-Induced Cyclostationarity; Probability of Correct Classification; WiFi system identification;
Conference_Titel :
Systems, Signals and Devices (SSD), 2011 8th International Multi-Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4577-0413-0
DOI :
10.1109/SSD.2011.5981428