FPGA-based hardware processing unit for time-frequency representation of a signal through Wigner-Ville distribution

In some applications, it is necessary to use a time-frequency representation (TFR) for showing the energy density distribution of the frequency components through time. The Wigner-Ville distribution (WVD) is a quadratic TFR, which has been recently of great interest for researchers, due to its independence from the kind or size of the window chosen, and its inherent suitability for analyzing non-stationary signals. However, the WVD computational complexity makes it extremely time-consuming processes. In this work, a generic FPGA-based portable architecture for calculating the WVD and the corresponding ambiguity function is proposed. To assess the effectiveness and performance of the proposed generic hardware architecture different study cases are considered. Obtained results demonstrate the versatility and usefulness of the proposed FPGA-based, reconfigurable architecture for real-time computation of WVD. © 2016 IEEE.

Ambiguity function; Cross-term; Fast Fourier transform; Field programmable gate arrays; Real-time systems; Reconfigurable architecture; Time-Frequency representation; Wigner-ville distribution Computer hardware; Fast Fourier transforms; Hardware; Interactive computer systems; Real time systems; Reconfigurable architectures; Reconfigurable hardware; Signal receivers; Time varying networks; Wigner-Ville distribution; Ambiguity function; Cross-terms; Energy density distributions; Hardware architecture; Nonstationary signals; Real-time computations; Time-frequency representations; WignerVille distribution (WVD); Field programmable gate arrays (FPGA)

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