Cascade Matched Filtering & Adaptive Threshold Techniques on Optical Tracking Signals under AWGN
(2019)Department of Automatic Control
- Abstract
- A cascade matched filtering (CMF) approach is purposed for filtering rectangular pulse train tracking signals, with known signal characteristics, in an embedded signal detection unit. Two adaptive detection algorithms are suggested, adapting to alterations in noise signal characteristics, due to environmental changes. The end product was an embedded tracking detection system, enabled to identify distance and direction to a tracking source, and transmit a well synchronized replica signal back to the tracking source. The suggested filtering and detection method, enhanced the tracking distance of the system significantly.
An introduction to the topic is given in the first section of the thesis, followed by underlying theory on the broad... (More) - A cascade matched filtering (CMF) approach is purposed for filtering rectangular pulse train tracking signals, with known signal characteristics, in an embedded signal detection unit. Two adaptive detection algorithms are suggested, adapting to alterations in noise signal characteristics, due to environmental changes. The end product was an embedded tracking detection system, enabled to identify distance and direction to a tracking source, and transmit a well synchronized replica signal back to the tracking source. The suggested filtering and detection method, enhanced the tracking distance of the system significantly.
An introduction to the topic is given in the first section of the thesis, followed by underlying theory on the broad topic. The thesis methodology is explained and tracking detection system with its subcomponents are modeled and described. Then the results from both simulation and embedded real-time data is presented, proceeding with discussions and ultimately conclusions.
Both simulation and embedded real-time data confirms improvements by implementing purposed filtering and detection techniques, by studying the SNR gain from the filter segment, and the ROC of the detection segment. The SNR gain in dB increases logarithmically with each added pulse period to the matched filter, and the linearity of the matched filter is clearly visualized in the filtered output signal. The 3-dimensional ROC curves, illustrates saturations in detection probabilities at a certain threshold, implying a correlation between filter extension and achieving a certain detection probability. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/8974707
- author
- Elm, Sebastian
- supervisor
- organization
- year
- 2019
- type
- H3 - Professional qualifications (4 Years - )
- subject
- report number
- TFRT-6076
- ISSN
- 0280-5316
- language
- English
- id
- 8974707
- date added to LUP
- 2019-06-12 11:42:52
- date last changed
- 2019-06-12 11:42:52
@misc{8974707,
abstract = {{A cascade matched filtering (CMF) approach is purposed for filtering rectangular pulse train tracking signals, with known signal characteristics, in an embedded signal detection unit. Two adaptive detection algorithms are suggested, adapting to alterations in noise signal characteristics, due to environmental changes. The end product was an embedded tracking detection system, enabled to identify distance and direction to a tracking source, and transmit a well synchronized replica signal back to the tracking source. The suggested filtering and detection method, enhanced the tracking distance of the system significantly.
An introduction to the topic is given in the first section of the thesis, followed by underlying theory on the broad topic. The thesis methodology is explained and tracking detection system with its subcomponents are modeled and described. Then the results from both simulation and embedded real-time data is presented, proceeding with discussions and ultimately conclusions.
Both simulation and embedded real-time data confirms improvements by implementing purposed filtering and detection techniques, by studying the SNR gain from the filter segment, and the ROC of the detection segment. The SNR gain in dB increases logarithmically with each added pulse period to the matched filter, and the linearity of the matched filter is clearly visualized in the filtered output signal. The 3-dimensional ROC curves, illustrates saturations in detection probabilities at a certain threshold, implying a correlation between filter extension and achieving a certain detection probability.}},
author = {{Elm, Sebastian}},
issn = {{0280-5316}},
language = {{eng}},
note = {{Student Paper}},
title = {{Cascade Matched Filtering & Adaptive Threshold Techniques on Optical Tracking Signals under AWGN}},
year = {{2019}},
}