Determining human target facing orientation using bistatic radar micro-Doppler signals

Dustin P. Fairchild; Ram M. Narayanan

doi:10.1117/12.2047240

4 June 2014 Determining human target facing orientation using bistatic radar micro-Doppler signals

Dustin P. Fairchild, Ram M. Narayanan

Author Affiliations +

Proceedings Volume 9082, Active and Passive Signatures V; 908203 (2014) https://doi.org/10.1117/12.2047240
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

Micro-Doppler radar signals can be used to separate moving human targets from stationary clutter and also to identify and classify human movements. Traditional micro-Doppler radar systems which use a single sensor, monostatic system, suffer from the drawback that only the radial component of the micro-Doppler signal will be observed by the radar operator. This reduces the sensitivity of human activity recognition if the movements are not directly towards or away with respect to the line-of-sight to the radar antenna. In this paper, we propose the use of two bistatic micro-Doppler sensors to overcome this limitation. By using multiple sensors, the orientation of oscillating targets with respect to the radar line-of-sight can be inferred, thereby providing additional information to the radar operator. This approach can be used to infer the facing direction of the human with respect to the radar beam.

Citation Download Citation

Dustin P. Fairchild and Ram M. Narayanan "Determining human target facing orientation using bistatic radar micro-Doppler signals", Proc. SPIE 9082, Active and Passive Signatures V, 908203 (4 June 2014); https://doi.org/10.1117/12.2047240

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE