Picture of smart phone in human hand

World leading smartphone and mobile technology research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers from the Department of Computer & Information Sciences involved in researching exciting new applications for mobile and smartphone technology. But the transformative application of mobile technologies is also the focus of research within disciplines as diverse as Electronic & Electrical Engineering, Marketing, Human Resource Management and Biomedical Enginering, among others.

Explore Strathclyde's Open Access research on smartphone technology now...

Robust principal component analysis for micro-doppler based automatic target recognition

Clemente, C. and Miller, A.W. and Soraghan, J.J. (2013) Robust principal component analysis for micro-doppler based automatic target recognition. In: 3rd IMA conference on Mathematics in Defence, 2013-10-24.

PDF (Clemente-etal-Robust-principle-component-analysis-for-micro-doppler)
Clemente_etal_Robust_principle_component_analysis_for_micro_doppler.pdf - Preprint

Download (181kB) | Preview


Dealing with real data it is likely that it will exhibit the presence of unexpected observations within the data which can affect the correct reduction of the representative features of a target signature. For the speciffc case of micro-Doppler based classiffcation this problem can appear in the feature selection stage. To address this problem the Robust PCA based on the Minimum Covariance Determinant (MCD) estimator is introduced. The proposed technique showed to improve the overall classiffcation accuracy.