Picture map of Europe with pins indicating European capital cities

Open Access research with a European policy impact...

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 Strathclyde researchers, including by researchers from the European Policies Research Centre (EPRC).

EPRC is a leading institute in Europe for comparative research on public policy, with a particular focus on regional development policies. Spanning 30 European countries, EPRC research programmes have a strong emphasis on applied research and knowledge exchange, including the provision of policy advice to EU institutions and national and sub-national government authorities throughout Europe.

Explore research outputs by the European Policies Research Centre...

Strathprints

Performance analysis of co-located and distributed MIMO radar for micro-doppler classification

Bugra Ozcan, Mustafa and Gurbuz, Sevgi Zubeyde and Persico, Adriano Rosario and Clemente, Carmine and Soraghan, John (2016) Performance analysis of co-located and distributed MIMO radar for micro-doppler classification. In: European Radar Conference 2016, EuRAD 2016, 2016-10-03 - 2016-10-07.

[img]
Preview
 Text (Ozcan-etal-EURAD2016-performance-analysis-co-located-distributed-MIMO-radar)
Ozcan_etal_EURAD2016_performance_analysis_co_located_distributed_MIMO_radar.pdf - Accepted Author Manuscript
Download (520kB) | Preview

Abstract

Over the past few years, the use of Multiple Input Multiple Output (MIMO) radar has gained increased attention as a way to mitigate the degredation of micro-Doppler classification performance incurred when the aspect angle approaches 90 degrees. In this work, the efficacy of co-located MIMO radar is compared with that of distributed MIMO. The performance anaylsis is accomplished for three different classification problems: 1) discrimination of a walking group of people from a running group of people; 2) identification of individual human activities, and 3) classification of different types of walking. In the co-located configuration each radar is placed side by side so as to form a line. In the distributed configuration, the radar positions are separated to observe the subjects from different angles. Starting from the cadence velocity diagram (CVD), the Pseudo-Zernike moments based features are extracted because of their robustness with respect to unwanted scalar and angular dependencies. Two different approaches to integrate the features obtained from multi-aspect data are compared: concatenation and principal component analysis (PCA). Results show that a distributed MIMO configuration and use of PCA to fuse multiperspective features yields higher classification performance as compared to a co-located configuration or feature vector concatenation.

Item type: Conference or Workshop Item (Paper)
ID code: 56163
Keywords: MIMO radar, micro-doppler classification, distributed MIMO, co-located MIMO, Electrical engineering. Electronics Nuclear engineering, Physics, Electrical and Electronic Engineering, Physics and Astronomy(all)
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Science > Physics
Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset Management
Depositing user: Pure Administrator
Date deposited: 14 Apr 2016 15:43
Last modified: 21 Sep 2017 16:13
Related URLs:
URI: https://strathprints.strath.ac.uk/id/eprint/56163
Export data:
CORE (COnnecting REpositories)