Division of Patents & Licensing Research Office seeks partners to license... A Method of Spectrum Sensing Via Radio Identification Researchers at the University of South Florida have developed a novel spectrum sensing method to identify the unused portion of the RF spectrum for opportunistic exploitation. Advantages: Computationally simple and fast. Provides a robust and reliable sensing method that covers multiple dimensions of the spectrum space. Can be used for electronic surveillance to detect illegal or enemy signals. The detected transmissions can be classified as single-carrier or multi-carrier. Cognitive radio is a new paradigm in wireless communications which aims to employ intelligent and adaptive wireless devices to effectively exploit the unused portion of the spectrum. Spectrum sensing which involves detection of the primary user, is one of the most challenging tasks in cognitive radio systems. These devices should be able to identify the unused spectrum in a fast and efficient way to catch up with dynamically changing Opportunistic Cognitive transmission parameters. However, conventional algorithms sense the Using OFDM spectrum without exploiting all the properties of primary users. Radio Our inventors have developed a sensing method, termed as partial match-filtering, for identifying the unused spectrum by estimating the RF properties of primary users. In this method, the primary users are identified by matching the a prior information about their transmission characteristics to the features extracted from the received signal. The algorithm is realized by (1) Extraction of a predefined set of parameters/features from the received signal (2) Using the extracted features for making decisions on the presence of an anticipated transmission, and (3) Exploring the gained knowledge about the active primary users for multi-dimensional spectrum characterization. Specifically, it provides an algorithm for identifying various Orthogonal Frequency Division Multiplexing (OFDM) Block Diagram of the Partial Match-filtering Algorithm signals and estimating their transmission parameters namely symbol duration, cyclic prefix (CP) length, number and frequencies of sub-carriers and nominal bandwidth blindly using characteristics of OFDM transmission. Tech ID # 07A051 contact University of South Florida | Division of Patents and Licensing 3802 Spectrum Blvd., Suite 100, Tampa, Florida 33612-9220 813.974.0994 (office) | 813.974.8490 (fax) [email protected] | http://www.research.usf.edu/pl/ Copyright © 2008, University of South Florida
© Copyright 2026 Paperzz