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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Cyclostationarity Detectors for Cognitive Radio: Architectural Tradeoffs | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2010 Article ID 526429 8 pages doi 10.1155 2010 526429 Research Article Cyclostationarity Detectors for Cognitive Radio Architectural Tradeoffs Dominique Noguet Lionel Biard and Marc Laugeois CEA-LETI-MINATEC 17 rue des Martyrs 38054 Grenoble cedex 9 France Correspondence should be addressed to Dominique Noguet dominique.noguet@cea.fr Received 17 November 2009 Revised 25 February 2010 Accepted 15 July 2010 Academic Editor Danijela Cabric Copyright 2010 Dominique Noguet et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Cyclostationarity detectors have been studied in the past few years as an efficient means for signal detection under low-SNR conditions. On the other hand some knowledge about the signal is needed at the detector. This is typically the case in Cognitive Radio spectrum secondary usage where the primary system is known. This paper focuses on two hardware architectures of cyclostationarity detectors for OFDM signals. The first architecture aims at secondary ISM band use considering IEEE802.11a g as the primary system. In this scenario low latency is required. The second architecture targets TV band secondary usage where DVB-T signals must be detected at very low SNR. The paper focuses on the architectural tradeoffs that the designer has to face and how his her choices will influence either performance or complexity. Hardware complexity evaluation on FPGA is provided for detectors that have been tested in the laboratory under real conditions. 1. Introduction Recently there has been a growing interest in signal detection in the context of Cognitive Radio 1 and more specifically in that of opportunistic radio where secondary Cognitive Radio Networks CRNs can be operated over frequency bands .
