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Unbiased pitch detection and phase estimation in entomological lidar

Fogelmark, Johan (2019) FMSM01 20191
Mathematical Statistics
Abstract
Good insect monitoring is important for both disease vector control and e?cient
usage of pesticides in farming. Entomological lidar has been proven useful for
detecting and monitoring insects. For every insect that transit the laser beam
a backscatter signal containing species-specific information is obtained. Esti-
mating the fundamental wing beat frequency of an observation is important for
determining the species. In this thesis, four non-parametric spectral estimation
techniques have been evaluated on their ability to estimate the fundamental
wing beat frequency. Furthermore, a method for phase estimation, the matched
phase reassignment, has been investigated for estimating the relative phase of
the harmonic overtones. All... (More)
Good insect monitoring is important for both disease vector control and e?cient
usage of pesticides in farming. Entomological lidar has been proven useful for
detecting and monitoring insects. For every insect that transit the laser beam
a backscatter signal containing species-specific information is obtained. Esti-
mating the fundamental wing beat frequency of an observation is important for
determining the species. In this thesis, four non-parametric spectral estimation
techniques have been evaluated on their ability to estimate the fundamental
wing beat frequency. Furthermore, a method for phase estimation, the matched
phase reassignment, has been investigated for estimating the relative phase of
the harmonic overtones. All four techniques managed to estimate the fundamen-
tal wing beat frequency in simulated signals to a high degree, even for short and
noisy signals. The techniques were fairly equally successful in estimating the
fundamental frequency, although the periodogram and the Wigner-Ville distri-
bution proved somewhat better than the spectrogram and the scaled reassigned
spectrogram. The matched phase reassignment can not be deemed reliable in
estimating the relative phase of the overtones in entomological lidar signals due
to sensitivity to noise. (Less)
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author
Fogelmark, Johan
supervisor
organization
course
FMSM01 20191
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Entomological lidar, wing beat frequency estimation, phas
language
English
id
8982902
date added to LUP
2019-06-13 10:10:21
date last changed
2019-06-13 10:10:21
@misc{8982902,
  abstract     = {Good insect monitoring is important for both disease vector control and e?cient
usage of pesticides in farming. Entomological lidar has been proven useful for
detecting and monitoring insects. For every insect that transit the laser beam
a backscatter signal containing species-specific information is obtained. Esti-
mating the fundamental wing beat frequency of an observation is important for
determining the species. In this thesis, four non-parametric spectral estimation
techniques have been evaluated on their ability to estimate the fundamental
wing beat frequency. Furthermore, a method for phase estimation, the matched
phase reassignment, has been investigated for estimating the relative phase of
the harmonic overtones. All four techniques managed to estimate the fundamen-
tal wing beat frequency in simulated signals to a high degree, even for short and
noisy signals. The techniques were fairly equally successful in estimating the
fundamental frequency, although the periodogram and the Wigner-Ville distri-
bution proved somewhat better than the spectrogram and the scaled reassigned
spectrogram. The matched phase reassignment can not be deemed reliable in
estimating the relative phase of the overtones in entomological lidar signals due
to sensitivity to noise.},
  author       = {Fogelmark, Johan},
  keyword      = {Entomological lidar,wing beat frequency estimation,phas},
  language     = {eng},
  note         = {Student Paper},
  title        = {Unbiased pitch detection and phase estimation in entomological lidar},
  year         = {2019},
}