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On Distinguishing between Human Individuals in Micro-Doppler Signatures
Swedish Defence Research Agency (FOI ), SWE.ORCID iD: 0000-0003-0701-706X
Swedish Defence Research Agency (FOI ), SWE.
Swedish Defence Research Agency (FOI ), SWE.
2013 (English)In: 14th International Radar Symposium (IRS), 2013, Institute of Electrical and Electronics Engineers (IEEE), 2013Conference paper (Refereed)
Abstract [en]

Radar micro-Doppler signatures (MDS) of humans are created by movements of body parts, such as legs and arms. MDSs can be used in security applications to detect humans and classify their type and activity. Target association and tracking, which can facilitate the classification, become easier if it is possible to distinguish between human individuals by their MDSs. By this we mean to recognize the same individual in a short time frame but not to establish the identity of the individual. In this paper we perform a statistical experiment in which six test persons are able to distinguish between walking human individuals from their MDSs. From this we conclude that there is information in the MDSs of the humans to distinguish between different individuals, which also can be used by a machine. Based on the results of the best test persons we also discuss features in the MDSs that could be utilized to make this processing possible.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2013.
Keyword [en]
Target tracking, Legged locomotion, Radar tracking, Doppler radar, Principal component analysis
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-13638ISBN: 978-1-4673-4821-8OAI: oai:DiVA.org:bth-13638DiVA: diva2:1057504
Conference
International Radar Symposium (IRS), Dresden, Germany,
Available from: 2016-12-18 Created: 2016-12-18 Last updated: 2017-01-16Bibliographically approved
In thesis
1. Signal Processing for Radar with Array Antennas and for Radar with Micro-Doppler Measurements
Open this publication in new window or tab >>Signal Processing for Radar with Array Antennas and for Radar with Micro-Doppler Measurements
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Radar (RAdio Detection And Ranging) uses radio waves to detect the presence of a target and measure its position and other properties. This sensor has found many civilian and military applications due to advantages such as possible large surveillance areas and operation day and night and in all weather. The contributions of this thesis are within applied signal processing for radar in two somewhat separate research areas: 1) radar with array antennas and 2) radar with micro-Doppler measurements.

Radar with array antennas: An array antenna consists of several small antennas in the same space as a single large antenna. Compared to a traditional single-antenna radar, an array antenna radar gives higher flexibility, higher capacity, several radar functions simultaneously and increased reliability, and makes new types of signal processing possible which give new functions and higher performance.

The contributions on array antenna radar in this thesis are in three different problem areas. The first is High Resolution DOA (Direction Of Arrival) Estimation (HRDE) as applied to radar and using real measurement data. HRDE is useful in several applications, including radar applications, to give new functions and improve the performance. The second problem area is suppression of interference (clutter, direct path jamming and scattered jamming) which often is necessary in order to detect and localize the target. The thesis presents various results on interference signal properties, antenna geometry and subarray design, and on interference suppression methods. The third problem area is measurement techniques for which the thesis suggests two measurement designs, one for radar-like measurements and one for scattered signal measurements.

Radar with micro-Doppler measurements: There is an increasing interest and need for safety, security and military surveillance at short distances. Tasks include detecting targets, such as humans, animals, cars, boats, small aircraft and consumer drones; classifying the target type and target activity; distinguishing between target individuals; and also predicting target intention. An approach is to employ micro-Doppler radar to perform these tasks. Micro-Doppler is created by the movement of internal parts of the target, like arms and legs of humans and animals, wheels of cars and rotors of drones.

Using micro-Doppler, this thesis presents results on feature extraction for classification; on classification of targets types (humans, animals and man-made objects) and human gaits; and on information in micro-Doppler signatures for re-identification of the same human individual. It also demonstrates the ability to use different kinds of radars for micro-Doppler measurements. The main conclusion about micro-Doppler radar is that it should be possible to use for safety, security and military surveillance applications.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2017. 180 p.
Series
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 2
Keyword
radar, signal processing, array antenna, subarray, clutter, jamming, interference, direction of arrival estimation, security, micro-Doppler, feature extraction, classification
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-13639 (URN)978-91-7295-335-2 (ISBN)
Public defence
2017-03-31, Karlskrona, 00:00 (English)
Opponent
Supervisors
Available from: 2017-01-16 Created: 2016-12-18 Last updated: 2017-01-16Bibliographically approved

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