Interference Suppression in the Wigner Distribution Using Fractional Fourier Transformation and Signal Synthesis

Authors:
S. Qazi;A. Georgakis;L.K. Stergioulas;M. Shikh-Bahaei
Affiliations:
Dept. of Electr. Eng., NED Univ. of Eng. & Technol., Karachi;-;-;-
Venue:
IEEE Transactions on Signal Processing
Year:
2007

Citing 0
Cited 3

An Efficient FPGA-based Implementation of Fractional Fourier Transform Algorithm

Journal of Signal Processing Systems
Signal recovery with cost-constrained measurements

IEEE Transactions on Signal Processing
Cross-term elimination in Wigner distribution based on 2D signal processing techniques

Signal Processing

Quantified Score

Hi-index	35.69

Visualization

Abstract

A novel method for the suppression of cross terms in the time-frequency domain is introduced. First, interference is identified using a fractional Fourier transform-based technique. Then, auto-terms are detected, synthesized, and subtracted from the original signal. The process is repeated until all signal components are extracted. Finally, the Wigner distributions of pure auto-terms are superimposed to yield a high readability representation