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.

    Author(s):Bugra Ozcan, Mustafa, Gurbuz, Sevgi Zubeyde, Persico, Adriano Rosario ORCID logoORCID: https://orcid.org/0000-0002-1761-598X, Clemente, Carmine ORCID logoORCID: https://orcid.org/0000-0002-6665-693X and Soraghan, John ORCID logoORCID: https://orcid.org/0000-0003-4418-7391
    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:14 Oct 2019 03:47
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/56163
    Export data:
    CORE (COnnecting REpositories)