Bird body and wing-beat radar Doppler signature separation using sparse optimization

Masoud Farshchian, Ivan Selesnick, Ankit Parekh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Radar bird detection and discrimination has many civilian and non-civilian applications such as collision avoidance, false alarm reduction for detection radars, stealthy target detection, classification of military unmanned aerial vehicles (UAVs) and civilian drones, and conservation ecology. In order to develop new and improve existing detection and discrimination algorithms, this paper proposes a feature extraction technique in which the wing-beat Doppler radar signature of a bird is separated from its respective body signature. More specifically, we propose non-linear morphological component analysis (MCA) using invertible short-time Fourier transform (STFT) for feature extraction. The method is applied to the Peregrine falcon data measured by Alabaster et al. (2012) resulting in successful separation of the aforementioned signatures.

Original languageEnglish (US)
Title of host publication2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages71-74
Number of pages4
ISBN (Electronic)9781509029204
DOIs
StatePublished - Nov 15 2016
Event4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016 - Aachen, Germany
Duration: Sep 19 2016Sep 23 2016

Other

Other4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016
CountryGermany
CityAachen
Period9/19/169/23/16

Fingerprint

Doppler radar
birds
Birds
wings
Feature extraction
synchronism
signatures
optimization
Collision avoidance
Ecology
Unmanned aerial vehicles (UAV)
Target tracking
pattern recognition
discrimination
Conservation
Fourier transforms
Radar
radar signatures
collision avoidance
pilotless aircraft

ASJC Scopus subject areas

  • Instrumentation
  • Signal Processing

Cite this

Farshchian, M., Selesnick, I., & Parekh, A. (2016). Bird body and wing-beat radar Doppler signature separation using sparse optimization. In 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016 (pp. 71-74). [7745702] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CoSeRa.2016.7745702

Bird body and wing-beat radar Doppler signature separation using sparse optimization. / Farshchian, Masoud; Selesnick, Ivan; Parekh, Ankit.

2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 71-74 7745702.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Farshchian, M, Selesnick, I & Parekh, A 2016, Bird body and wing-beat radar Doppler signature separation using sparse optimization. in 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016., 7745702, Institute of Electrical and Electronics Engineers Inc., pp. 71-74, 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016, Aachen, Germany, 9/19/16. https://doi.org/10.1109/CoSeRa.2016.7745702
Farshchian M, Selesnick I, Parekh A. Bird body and wing-beat radar Doppler signature separation using sparse optimization. In 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 71-74. 7745702 https://doi.org/10.1109/CoSeRa.2016.7745702
Farshchian, Masoud ; Selesnick, Ivan ; Parekh, Ankit. / Bird body and wing-beat radar Doppler signature separation using sparse optimization. 2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing, CoSeRa 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 71-74
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