New results on a two-stage novel modulation classification technique for cognitive radio applications

Azarmanesh, Okhtay; Bilén, Sven G.

doi:10.1109/milcom.2011.6127673

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…This then allows us to use our single-carrier MC on each subcarrier and then demodulate it. The details of these steps have been presented in a separate article [18].…”

Section: Multi-carrier Feature Extractionmentioning

confidence: 99%

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I-Q diagram utilization in a novel modulation classification technique for cognitive radio applications

Azarmanesh

Bilén

2013

J Wireless Com Network

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We report here on the utilization of signal in-phase-quadrature (I-Q) diagrams in a novel modulation classification (MC) technique. This MC technique is able to classify linear digital single-carrier modulations as well as multi-carrier modulations. The method uses the waveforms' I-Q diagrams and, by employing a combination of k-center and k-means algorithms, determines the type of modulation. Implementation and refinement of the novel single-carrier modulation classification technique using the I-Q diagrams are discussed in detail. Further, a model for classification of multi-carrier signals is presented, including Gaussianity, cyclostationarity, and autocorrelation tests for further extracting orthogonal frequency division multiplexing signal parameters. Finally, results of this method are presented and compared to other classification methods, and the considerations for implementing the method in hardware are briefly discussed. As a future direction of this research, the performance of the algorithm in fading channels is an interesting topic to pursue.

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“…This then allows us to use our single-carrier MC on each subcarrier and then demodulate it. The details of these steps have been presented in a separate article [18].…”

Section: Multi-carrier Feature Extractionmentioning

confidence: 99%

“…We have also proposed a method based on our clustering algorithm to correct some of the frequency offsets and I-Q imbalances in a received OFDM signal. The details of these steps are presented independently in separate articles [18].…”

Section: Introductionmentioning

confidence: 99%

I-Q diagram utilization in a novel modulation classification technique for cognitive radio applications

Azarmanesh

Bilén

2013

J Wireless Com Network

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“…In this case, an estimation of the signal-to-noise ratio (SNR) is required, thus leading to more preprocessing complexity. Added to this, most of the current modulation classifiers only cover a few modulation schemes [2].…”

Section: Introductionmentioning

confidence: 99%

A Carrier Recovery Loop for Cognitive Radio Applications

Metref

Guennec

Palicot

2011

Circuits Syst Signal Process

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From the issue entitled "Special Issue on Embedded Signal Processing Circuits and Systems for Cognitive Radio-Based Wireless Communication Devices"International audienceThe increasing demands for wireless communication especially in consumer electronics applications, result in substantially and continuously increasing reliability and Quality of Service (QoS) requirements. This trend creates a need to introduce intelligent functionalities in the wireless devices, which leads to the concept of Cognitive Radio (CR) technology. In some CR applications such as Dynamic Spectrum Access (DSA), the CR terminal should be able to modify its transmission parameters in order to communicate with an efficient utilization of the spectrum resource. In such a case, the CR terminal would be capable of reconfiguring itself with minimum supplementary information to achieve best performance. In this paper we propose a blind carrier recovery loop with respect to the modulation scheme suited to CR applications. Unlike conventional solutions which use a separate modulation identification device before performing carrier recovery, the introduced loop employs a hierarchical symbol decision to achieve phase lock, and then the S-curve and the variance of a Decision-Directed phase error detector are used to extract an information about the modulation scheme of the incoming signal. After the phase lock with the hierarchical decision the constellation used in the received signal is detected and then the true decisions are used to drive the recovery loop. Results obtained with different digital linear modulations (8-PSK, 16-QAM, 16-APSK, 64-QAM) indicate that the introduced loop is capable of achieving a real-time modulation scheme detection as well as keeping phase lock in case of adaptive modulation scheme transmissions

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“…At least 20 different emergency response teams will be trying to coordinate their activities. 4,5 The tools the students are using for this Challenge are a combination of what they have used in their first two Challenge solutions. They are using MATLAB for the initial design simulations Page 15.556.5…”

Section: Figure 3 Model-based Design Block Diagrammentioning

confidence: 99%

Experiences With Student Developed Software Defined Radios In The Smart Radio Challenge

Bilén

Azarmanesh

2010 Annual Conference &Amp; Exposition Proceedings

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and Professional Programs. His research interests include software-defined radio and cognitive radio. Okhtay Azarmanesh, Pennsylvania State University OKHTAY AZARMANESH is a Ph.D. candidate in Electrical Engineering at Penn State. He received his B.Sc. in Electrical Engineering from Sharif University of Technology and his M.Sc. from Télécom Paris and SUPAERO. His research interests include software-defined radios, modulation classification in cognitive radios, wireless communications, and satellite communications.

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New results on a two-stage novel modulation classification technique for cognitive radio applications

Cited by 7 publications

References 10 publications

I-Q diagram utilization in a novel modulation classification technique for cognitive radio applications

I-Q diagram utilization in a novel modulation classification technique for cognitive radio applications

A Carrier Recovery Loop for Cognitive Radio Applications

Experiences With Student Developed Software Defined Radios In The Smart Radio Challenge

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