Sadiq Ali, Nabeel Ali Khan
||NED University Journal of Research, 2019, Vol.XVI (2), pp.23 - 29
||NED University of Engineering and Technology
Cross-term suppression in the Wigner distribution is a challenging task. Kernel based schemes are most widely used for reducing cross-terms. However, these schemes suffer from the intrinsic give and take between auto-term resolution and cross-term suppression. This paper presents a cross-term suppression scheme by combining directional filtering with image processing. This scheme retains the resolution of auto-term while significantly reducing cross-terms. The performance comparison with other methods demonstrates that the proposed method is superior compared to other methods in terms of cross-term suppression and energy concentration.