Blind signal parameter estimation for the Rapid Radio framework

Recio, Adolfo; Surís, Jorge A.; Athanas, Peter

doi:10.1109/milcom.2009.5379939

Cited by 6 publications

(2 citation statements)

References 4 publications

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“…Finding the best fit is then a nonlinear Least Square optimization problem. This process is discussed in detail in [12]. The initial estimates for the unknowns are obtained from the user's specification of the signal to analyze.…”

Section: Modulation Parameter Estimationmentioning

confidence: 99%

RapidRadio: A Domain-Specific Productivity Enhancing Framework

Surís

Recio

Athanas

2010

International Journal of Reconfigurable Computing

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The RapidRadio framework for signal classification and receiver deployment is discussed. The framework is a productivity enhancing tool that reduces the required knowledge-base for implementing a receiver on an FPGA-based SDR platform. The ultimate objective of this framework is to identify unknown signals and to build FPGA-based receivers capable of receiving them. The architecture of the receiver deployed by the framework and its implementation are discussed. The framework's capacity to classify a signal and deploy a functional receiver is validated with over-the-air experiments.

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Section: Modulation Parameter Estimationmentioning

confidence: 99%

RapidRadio: A Domain-Specific Productivity Enhancing Framework

Surís

Recio

Athanas

2010

International Journal of Reconfigurable Computing

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“…This assumption can be made because the RapidRadio framework includes a parameter estimator that performs a fitting over the spectrum of the incoming signal to obtain the modulation parameters [15]. Furthermore, the radio deployment phase includes an interpolator to ensure that the correct sampling frequency is observed at the synchronizer.…”

Section: Symbol Timing Recoverymentioning

confidence: 99%

On the Implementation of a Quasi-Generic Synchronization Architecture for Linear Digital Modulations

Surís

Recio

Athanas

2010

J Sign Process Syst

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With increasing availability of softwaredefined radio platforms, users are no longer tied to receiving or transmitting only one type of signal. In applications, such as signal intelligence, the user may not know ahead of time the characteristics of the signal to be received. This uncertainty results in a need for more flexible receiver architectures that can be easily modified to work for multiple signal types. In this paper the FPGA implementation of a quasi-generic synchronization architecture is presented that is easily adaptable, at implementation time, to most linear modulation schemes. The implementation is shown to work for QPSK, 8QAM, 16QAM and 32QAM with timing frequency errors of up to 4% of the symbol rate.

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Blind parameter estimation based matched filter detection for cognitive radio networks

Upadhyay

Deshmukh

2015

2015 International Conference on Communications and Signal Processing (ICCSP)

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Blind signal parameter estimation for the Rapid Radio framework

Cited by 6 publications

References 4 publications

RapidRadio: A Domain-Specific Productivity Enhancing Framework

RapidRadio: A Domain-Specific Productivity Enhancing Framework

On the Implementation of a Quasi-Generic Synchronization Architecture for Linear Digital Modulations

Blind parameter estimation based matched filter detection for cognitive radio networks

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