Model-based implementation for the calculation of Power Spectral Density in an FPGA system

Cognitive Radio (CR) systems equipped with a spectrum sensing unit are able to access the radio frequency spectrum in a dynamic manner. This paper presents a model-based design approach and implementation for the calculation of the Power Spectral Density (PSD) of the received signal in a spectrum scanner. Design parameters based on the requirements of the complete CR system as well as the signal processing steps for the PSD calculation are described. The signal processing comprises the implementation of a control unit, selectable window functions, the Fast Fourier Transformation, the calculation of the magnitude, selectable number of averages for the calculation of peak and mean power values as well as the logarithmic representation of the spectrum. The presented processing block is integrated as part of an embedded system in an FPGA. The simulation and measurement results demonstrate and proof the functionality of the developed block with the shown design flow.

[1]  Robert Weigel,et al.  A cognitive system for future-proof wireless microphones: Concept, implementation and results , 2013, 2013 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services (TELSIKS).

[2]  A. W. M. van den Enden,et al.  Discrete Time Signal Processing , 1989 .

[3]  Johannes Brendel,et al.  A Spectrum Sensing Network for Cognitive PMSE Systems , 2012 .

[4]  Andreas Wilzeck,et al.  C-PMSE — Improved spectrum utilization and coexistence by cognitive PMSE systems: A strategic application-oriented research & development project in Germany , 2011, 2011 6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM).

[5]  G. Fischer,et al.  Concept of an UHF band receiver for spectrum sensing applications , 2012, 2012 International Symposium on Signals, Systems, and Electronics (ISSSE).

[6]  System Generator for DSP Reference Guide , 2008 .

[7]  Behrooz Parhami,et al.  Computer arithmetic - algorithms and hardware designs , 1999 .

[8]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[9]  Weifang Wang,et al.  Spectrum sensing in cognitive radio , 2016 .

[10]  Hüseyin Arslan,et al.  A survey of spectrum sensing algorithms for cognitive radio applications , 2009, IEEE Communications Surveys & Tutorials.

[11]  Michael J. Marcus,et al.  Unlicensed cognitive sharing of TV spectrum: the controversy at the Federal Communications Commission , 2005, IEEE Communications Magazine.

[12]  Johannes Brendel,et al.  Components and implementation of a spectrum sensing network for the UHF TV band , 2013, 2013 European Microwave Conference.