Picture of smart phone

Open Access research that is better understanding human-computer interaction...

Strathprints makes available scholarly Open Access content by researchers in the Department of Computer & Information Sciences, including those researching information retrieval, information behaviour, user behaviour and ubiquitous computing.

The Department of Computer & Information Sciences hosts The Mobiquitous Lab, which investigates user behaviour on mobile devices and emerging ubiquitous computing paradigms. The Strathclyde iSchool Research Group specialises in understanding how people search for information and explores interactive search tools that support their information seeking and retrieval tasks, this also includes research into information behaviour and engagement.

Explore the Open Access research of The Mobiquitous Lab and the iSchool, or theDepartment of Computer & Information Sciences more generally. Or explore all of Strathclyde's Open Access research...

Micro-doppler classification of ballistic threats using krawtchouk moments

Persico, Adriano Rosario and Clemente, Carmine and Pallotta, Luca and De Maio, Antonio and Soraghan, John (2016) Micro-doppler classification of ballistic threats using krawtchouk moments. In: IEEE Radar Conference 2016, 2016-05-02 - 2016-05-06.

[img]
Preview
Text (Persico-etal-RC2016-micro-doppler-classification-ballistic-threats-using-krawtchouk-moments)
Persico_etal_RC2016_micro_doppler_classification_ballistic_threats_using_krawtchouk_moments.pdf
Accepted Author Manuscript

Download (878kB) | Preview

Abstract

The challenge of ballistic missiles classification is getting greater importance in last years. In fact, since the antimissile defence systems have generally a limited number of interceptors, it is important to distinguish between warheads and confusing objects that the missile releases during its flight, in order to maximize the interception success ratio. For this aim, a novel micro-Doppler based classification technique is presented in this paper characterized by the employment of Krawtchouk moments. Since the evaluation of the latter requires a low computational time, the proposed approach is suitable for real time applications. Finally, a comparison with the 2-dimensional Gabor filter based approach is described by testing both the techniques on real radar data.