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New micro-Doppler Project

Target classification and tracking using acoustic micro-Doppler signatures
New micro-Doppler Project

A spherical microphone array that forms part of the acoustic camera system. The array is a 120 channel measurement system which operates between 600 Hz to 10 kHz and consists of an optical camera for superimposing the imaged scene onto the acoustic data

This EPSRC-DSTL funded project will investigate novel processing techniques which may be applied to detection, tracking and classification of both moving vehicles and personnel targets using their acoustic micro-Doppler signatures. The micro-Doppler may come from the vibrations or movement of a structure, such as a helicopter or the swinging arms and legs of walking person, or a slow- moving swimmer. Characterisation of the micro-Doppler or differences between signatures (if available) could be used to discriminate between individuals, identify faults or even to predict failure or intent.

The UCL Sensors, Systems and Circuits Group have carried out extensive work in the area of micro-Doppler target classification at RF frequencies and will translate this expertise onto the acoustic regime to facilitate performance enhancements in acoustic imaging systems.

Target data will be generated by predictive micro-Doppler models adapted to work at acoustic frequencies, and measured experimentally using an active data acquisition system. The receive section of the experimental apparatus will consist of a high-specification acoustic camera which has the ability to spatially locate the targets of interest using a range of microphone arrays, and merge their measured acoustic response with an optical image of the scene.

The data will be analysed using bespoke signal processing techniques to form a valuable classifier system. Feature extraction algorithms derived from fields such as speech processing will also be employed to undertake intent analysis to characterise the behaviour of the targets of interest. The micro-Doppler tracking algorithms, classifier database and feature analysis outputs of the project will constitute a powerful set of tools to enhance capabilities of acoustic detection systems.

  • Funding Body: EPSRC
  • Principal Investigator: Dr. Karl Woodbridge
  • Proposed start date: 1/10/09
  • Duration: 12 months
  • Value: £95,017