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Secondary motions of a target, such as rotating blades of a helicopter's main rotor, induce a Doppler modulation around the main Doppler shift. This represents a unique feature of the target itself, known as micro-Doppler signature, and can be used for classification purposes. In this student research highlight a model-based automatic helicopter classification algorithm is presented. It is a parametric classification approach based on a sparse signal recovery method and it is independent of both the initial position of the blades and the aspect angle. The algorithm is tested on simulated and real data.
|Number of pages||3|
|Journal||IEEE Aerospace and Electronic Systems Magazine|
|Publication status||Published - 29 Aug 2016|
- Doppler modulation
- micro-Doppler signature
- helicopter classification algorithm
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- 1 Finished
Signal Processing Solutions for the Networked Battlespace
EPSRC (Engineering and Physical Sciences Research Council)
1/04/13 → 31/03/18