Cyclostationary features of downsampled 802.11g OFDM signal for cognitive positioning systems. Silva, P., F., Daniel, O., Nurmi, J., & Lohan, E. In 2014 11th International Symposium on Wireless Communications Systems (ISWCS), pages 950-954, 8, 2014. IEEE.
abstract   bibtex   
In cognitive positioning systems, spectrum sensing methods play an important role to understand the surrounding spectrum. Due to their good performance under noisy environments, cyclostationary methods are commonly used to characterise the received signals. These methods require a higher computational cost and high sampling rates [1]. With that in mind, this paper uses real measurement data, acquired in an office environment, at different sampling rates, including rates below the Nyquist rate. The motivation is to show that the implementation burden of these methods can be reduced by using lower sampling frequencies, since the cyclic properties of the signals are still visible.
@inProceedings{
 id = {04ebab20-2c85-3789-9c37-2c7f4fd7cb60},
 title = {Cyclostationary features of downsampled 802.11g OFDM signal for cognitive positioning systems},
 type = {inProceedings},
 year = {2014},
 keywords = {802.11g,Cognitive positioning systems,Engines,IEEE 802.11g Standard,Navigation,Noise,Nyquist rate,OFDM,OFDM modulation,OFDM signal,Sensors,Time-frequency analysis,cognitive positioning systems,cognitive radio,cyclostationary,cyclostationary features,cyclostationary methods,downsampling,noisy environments,radio spectrum management,signal detection,signal sampling,signals of opportunity,spectrum sensing methods},
 created = {2015-03-23T16:49:39.000Z},
 pages = {950-954},
 websites = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6933490},
 month = {8},
 publisher = {IEEE},
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 short_title = {Wireless Communications Systems (ISWCS), 2014 11th},
 abstract = {In cognitive positioning systems, spectrum sensing methods play an important role to understand the surrounding spectrum. Due to their good performance under noisy environments, cyclostationary methods are commonly used to characterise the received signals. These methods require a higher computational cost and high sampling rates [1]. With that in mind, this paper uses real measurement data, acquired in an office environment, at different sampling rates, including rates below the Nyquist rate. The motivation is to show that the implementation burden of these methods can be reduced by using lower sampling frequencies, since the cyclic properties of the signals are still visible.},
 bibtype = {inProceedings},
 author = {Silva, Pedro Figueiredoe and Daniel, Ondrej and Nurmi, Jari and Lohan, Elena-Simona},
 booktitle = {2014 11th International Symposium on Wireless Communications Systems (ISWCS)}
}

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