2nd Order Cyclostationarity of OFDM Signals: Impact of Pilot Tones and Cyclic Prefix

Adrat, Marc; Leduc, Jean-Pierre; Couturier, Stefan; Antweiler, M.; Elders–Boll, H.

doi:10.1109/icc.2009.5198574

Cited by 15 publications

(10 citation statements)

References 12 publications

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“…Ref. [7] gives a new formula for the SCF of OFDM signals. In this formula, the cyclic frequency becomes higher resolution and thus the disappeared SCF peak is detectable.…”

Section: Methods For Compensating Cyclostationarity-degradation Bymentioning

confidence: 99%

“…, described in Section II are pilot subcarriers respectively, the SCF shows SCF peaks for ⁄ Next, we consider the transmitted signal when GI was inserted. SCF peak appeared condition in case of being inserted GI is derived as the following equation [7].…”

Section: A Ofdm Signal In Scfmentioning

confidence: 99%

“…We can obtain high correlation peak components (SCF peak) from the pilot signal [6]. The high accurate detection can be achieved by high SCF peak even under the low signal to noise power ratio (SNR) [5] - [7]. In broadband wireless systems, for avoiding inter-symbol interference (ISI) in multi-path environment, guard interval (GI) is pre-inserted to the transmitted signal.…”

Section: Introductionmentioning

confidence: 99%

“…Ref. [7] derives a new formula for SCF of OFDM signals. This formula can be used as the compensator for the cyclostationary feature degraded by GI insertion.…”

Section: Introductionmentioning

confidence: 99%

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Low Complexity Cyclostationary Feature Detection Method to Compenstate Cyclostationarity-Degradation by Guard Interval Insertion

Hiroyoshi¹,

Takyu

Fujii

et al. 2011

Proceedings of the 6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

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In cognitive radio system, it is necessary for spectrum sensing technology to search for vacant channel. Cyclostationary feature detection method has superior noise-immune and recognition. However, since the mismatch between the detected signal and detection duration by guard interval (GI) insertion occurs, the cyclostationarity is degraded. In this paper, we propose a high accuracy and low complexity detection method based on cyclostationarity feature. The proposed method limits symbol detection time and makes multiple delay line detectors as units of the GI time. Computer simulation and analytical evaluation show the effectiveness of the proposed detection method compared to the conventional one. I.

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“…Ref. [7] gives a new formula for the SCF of OFDM signals. In this formula, the cyclic frequency becomes higher resolution and thus the disappeared SCF peak is detectable.…”

Section: Methods For Compensating Cyclostationarity-degradation Bymentioning

confidence: 99%

Section: A Ofdm Signal In Scfmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Ref. [7] derives a new formula for SCF of OFDM signals. This formula can be used as the compensator for the cyclostationary feature degraded by GI insertion.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Low Complexity Cyclostationary Feature Detection Method to Compenstate Cyclostationarity-Degradation by Guard Interval Insertion

Hiroyoshi¹,

Takyu

Fujii

et al. 2011

Proceedings of the 6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

View full text Add to dashboard Cite

show abstract

“…Furthermore, the preamble-induced cyclostationarity was used in [7] for the detection/identification of mobile WiMAX signals; this is based on the repetition of the preamble every frame, as well as the existence of a repetitive pattern of subcarriers in the preamble. The secondorder cyclostationarity was exploited in [11] to identify diverse IEEE 802.11 standard signals, while a theoretical analysis of the second-order cyclostationarity induced by pilots was performed in [12] with application to the IEEE 802.11a signal detection/identification. Furthermore, cyclostationarity signatures intentionally introduced in the signal were exploited in [13]; these are due to the redundant transmission of message symbols on more than one subcarrier.…”

Section: Introductionmentioning

confidence: 99%

Second-Order Cyclostationarity-Based Detection of LTE SC-FDMA Signals for Cognitive Radio Systems

Jerjawi

Eldemerdash

Dobre

2015

IEEE Trans. Instrum. Meas.

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Abstract-In this paper, we investigate the detection of long term evolution (LTE) single carrier-frequency division multiple access (SC-FDMA) signals, with application to cognitive radio systems. We explore the second-order cyclostationarity of the LTE SC-FDMA signals, and apply results obtained for the cyclic autocorrelation function to signal detection. The proposed detection algorithm provides a very good performance under various channel conditions, with a short observation time and at low signal-to-noise ratios, with reduced complexity. The validity of the proposed algorithm is verified using signals generated and acquired by laboratory instrumentation, and the experimental results show a good match with computer simulation results.Index Terms-Cognitive radio, long term evolution (LTE), signal detection, single carrier-frequency division multiple access (SC-FDMA), signal cyclostationarity.

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Covariance-based OFDM spectrum sensing with sub-Nyquist samples

2015

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In this paper, we propose a feature-based method for spectrum sensing of OFDM signals from sub-Nyquist samples over a single band. We exploit the structure of the covariance matrix of OFDM signals to convert an underdetermined set of covariancebased equations to an overdetermined one. The statistical properties of sample covariance matrix are analyzed and then based on that an approximate Generalized Likelihood Ratio Test (GLRT) for detection of OFDM signals from sub-Nyquist samples is derived. The method is also extended to the frequency-selective channels.

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2nd Order Cyclostationarity of OFDM Signals: Impact of Pilot Tones and Cyclic Prefix

Cited by 15 publications

References 12 publications

Low Complexity Cyclostationary Feature Detection Method to Compenstate Cyclostationarity-Degradation by Guard Interval Insertion

Low Complexity Cyclostationary Feature Detection Method to Compenstate Cyclostationarity-Degradation by Guard Interval Insertion

Second-Order Cyclostationarity-Based Detection of LTE SC-FDMA Signals for Cognitive Radio Systems

Covariance-based OFDM spectrum sensing with sub-Nyquist samples

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