Sensing orthogonal frequency division multiplexing systems for cognitive radio with cyclic prefix and pilot tones

Chen, Zhong; Luan, Tianxiang; Zhang, Xian-Da

doi:10.1049/iet-com.2010.1038

Cited by 22 publications

(24 citation statements)

References 12 publications

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“…The performance of EBD may suffer from rank-deficient covariance matrix caused by channel nulls. Besides, ABDs in [4] and [8] are subjected to further performance loss because the correlation incurred by the CP is further destroyed by the multipath fading. However, the EBD is more robust to the frequency offset than two ABDs.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…In order to have a deep insight, we include recently proposed methods in [4], [6], [8] for comparison. The results are listed in Table I.…”

Section: A Probability Of Detection and Complexity Analysismentioning

confidence: 99%

“…The first one estimates and compensates for the CFO errors before spectrum sensing. For example, Chen et al employed the CP-based synchronization method to compensate for the CFO [8]. However, the estimation accuracy degrades severely because the detector often works in highly noisy environments.…”

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confidence: 99%

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Spectrum Sensing of OFDM Signals in the Presence of Carrier Frequency Offset

Wang

Elkashlan

et al. 2016

IEEE Trans. Veh. Technol.

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Abstract-This paper addresses the important issue of detecting orthogonal frequency-division multiplexing (OFDM) signals in the presence of carrier frequency offset (CFO). The proposed algorithm utilizes the characteristics of the covariance matrix of the discrete Fourier transform of the input signal to the detector to determine the presence of the primary user's signal. This algorithm can be exploited to differentiate OFDM signals from the noise through the proposal of a new decision metric, which measures the off-diagonal elements of the input signal's covariance matrix. The decision threshold subject to a given probability of false alarm is derived, while performance analysis is carried out to demonstrate the potential of the proposed algorithm. Finally, simulation results are presented to validate the effectiveness of the proposed sensing method in comparison with other existing approaches.

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Section: Numerical Resultsmentioning

confidence: 99%

“…In order to have a deep insight, we include recently proposed methods in [4], [6], [8] for comparison. The results are listed in Table I.…”

Section: A Probability Of Detection and Complexity Analysismentioning

confidence: 99%

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Spectrum Sensing of OFDM Signals in the Presence of Carrier Frequency Offset

Wang

Elkashlan

et al. 2016

IEEE Trans. Veh. Technol.

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“…There are existing OFDM sensing algorithms proposed and analyzed in the literature. Most of them use the features of the pilot tones (PT) [19,20] and the cyclic prefix (CP) [21,22] inherent in OFDM signals. In [8], the authors proposed a spectrum sensing algorithm using the PT, which is based on time-domain symbol cross-correlation.…”

Section: Introductionmentioning

confidence: 99%

“…However, the method is highly susceptible to carrier frequency offset. New detection algorithms based on the correlation properties of the CP are proposed in [21,22]. But these http://jwcn.eurasipjournals.com/content/2014/1/224 algorithms are sensitive to timing offset, which therefore needs to be estimated, and so this will decrease the overall performance of the system.…”

Section: Introductionmentioning

confidence: 99%

Improved spectrum sensing for OFDM cognitive radio in the presence of timing offset

Shi

McLernon

Ghogho

et al. 2014

J Wireless Com Network

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Spectrum sensing is an important aspect of an (interweave) cognitive radio network. In the particular case of orthogonal frequency division multiplexing (OFDM) transmission, many previous spectrum sensing algorithms have utilized the unique correlation properties provided by the cyclic prefix (CP). However, they have also had to both estimate and compensate for the inherent timing offset of a practical system. This is because the timing offset will affect both the test statistic and the threshold, and the inaccurate estimation of timing offset will lead to poor performance. So in this paper, we propose an improved CP detector by constructing a likelihood ratio test (LRT) based on the multivariate probability density functions (pdf) of a particular auto-correlation vector that is chosen to exploit the existence of the CP. This leads to 'probability of detection' (P d ) and 'probability of false alarm' (P f ) terms that are actually independent of timing offset, and we can get an accurate threshold without estimating timing offset. Simulation results illustrate that the proposed algorithm outperforms existing methods, even for low SNR values. Finally, we show how the algorithm's parameters must be carefully chosen in a trade-off between spectrum sensing success and overall system performance.

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Spectrum Sensing for Cognitive Radio Networks

Bishnu

2020

Springer Series in Wireless Technology

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Sensing orthogonal frequency division multiplexing systems for cognitive radio with cyclic prefix and pilot tones

Cited by 22 publications

References 12 publications

Spectrum Sensing of OFDM Signals in the Presence of Carrier Frequency Offset

Spectrum Sensing of OFDM Signals in the Presence of Carrier Frequency Offset

Improved spectrum sensing for OFDM cognitive radio in the presence of timing offset

Spectrum Sensing for Cognitive Radio Networks

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