Cargando…
Low-False-Alarm-Rate Timing and Duration Estimation of Noisy Frequency Agile Signal by Image Homogeneous Detection and Morphological Signature Matching Schemes
Frequency hopping spread spectrum (FHSS) applies widely to communication and radar systems to ensure communication information and channel signal quality by tuning frequency within a wide frequency range in a random sequence. An efficient signal processing scheme to resolve the timing and duration s...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966728/ https://www.ncbi.nlm.nih.gov/pubmed/36850695 http://dx.doi.org/10.3390/s23042094 |
_version_ | 1784897089118928896 |
---|---|
author | Cheng, Yuan-Pin Chang, Chia-Hsuan Chen, Jung-Chih |
author_facet | Cheng, Yuan-Pin Chang, Chia-Hsuan Chen, Jung-Chih |
author_sort | Cheng, Yuan-Pin |
collection | PubMed |
description | Frequency hopping spread spectrum (FHSS) applies widely to communication and radar systems to ensure communication information and channel signal quality by tuning frequency within a wide frequency range in a random sequence. An efficient signal processing scheme to resolve the timing and duration signature from an FHSS signal provides crucial information for signal detection and radio band management purposes. In this research, hopping time was first identified by a two-dimensional temporal correlation function (TCF). The timing information was shown at TCF phase discontinuities. To enhance and resolve the timing signature of TCF in a noisy environment, three stages of signature enhancement and morphological matching processes were applied: first, computing the TCF of the FHSS signal and enhancing discontinuities via wavelet transform; second, a dual-diagonal edge finding scheme to extract the timing pattern signature and eliminate mismatching distortion morphologically; finally, Hough transform resolved the agile frequency timing from purified line segments. A grand-scale Monte Carlo simulation of the FHSS signals with additive white Gaussian noise was carried out in the research. The results demonstrated reliable hopping time estimation obtained in SNR at 0 dB and above, with a minimal false detection rate of 1.79%, while the prior related research had an unattended false detection rate of up to 35.29% in such a noisy environment. |
format | Online Article Text |
id | pubmed-9966728 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99667282023-02-26 Low-False-Alarm-Rate Timing and Duration Estimation of Noisy Frequency Agile Signal by Image Homogeneous Detection and Morphological Signature Matching Schemes Cheng, Yuan-Pin Chang, Chia-Hsuan Chen, Jung-Chih Sensors (Basel) Article Frequency hopping spread spectrum (FHSS) applies widely to communication and radar systems to ensure communication information and channel signal quality by tuning frequency within a wide frequency range in a random sequence. An efficient signal processing scheme to resolve the timing and duration signature from an FHSS signal provides crucial information for signal detection and radio band management purposes. In this research, hopping time was first identified by a two-dimensional temporal correlation function (TCF). The timing information was shown at TCF phase discontinuities. To enhance and resolve the timing signature of TCF in a noisy environment, three stages of signature enhancement and morphological matching processes were applied: first, computing the TCF of the FHSS signal and enhancing discontinuities via wavelet transform; second, a dual-diagonal edge finding scheme to extract the timing pattern signature and eliminate mismatching distortion morphologically; finally, Hough transform resolved the agile frequency timing from purified line segments. A grand-scale Monte Carlo simulation of the FHSS signals with additive white Gaussian noise was carried out in the research. The results demonstrated reliable hopping time estimation obtained in SNR at 0 dB and above, with a minimal false detection rate of 1.79%, while the prior related research had an unattended false detection rate of up to 35.29% in such a noisy environment. MDPI 2023-02-13 /pmc/articles/PMC9966728/ /pubmed/36850695 http://dx.doi.org/10.3390/s23042094 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cheng, Yuan-Pin Chang, Chia-Hsuan Chen, Jung-Chih Low-False-Alarm-Rate Timing and Duration Estimation of Noisy Frequency Agile Signal by Image Homogeneous Detection and Morphological Signature Matching Schemes |
title | Low-False-Alarm-Rate Timing and Duration Estimation of Noisy Frequency Agile Signal by Image Homogeneous Detection and Morphological Signature Matching Schemes |
title_full | Low-False-Alarm-Rate Timing and Duration Estimation of Noisy Frequency Agile Signal by Image Homogeneous Detection and Morphological Signature Matching Schemes |
title_fullStr | Low-False-Alarm-Rate Timing and Duration Estimation of Noisy Frequency Agile Signal by Image Homogeneous Detection and Morphological Signature Matching Schemes |
title_full_unstemmed | Low-False-Alarm-Rate Timing and Duration Estimation of Noisy Frequency Agile Signal by Image Homogeneous Detection and Morphological Signature Matching Schemes |
title_short | Low-False-Alarm-Rate Timing and Duration Estimation of Noisy Frequency Agile Signal by Image Homogeneous Detection and Morphological Signature Matching Schemes |
title_sort | low-false-alarm-rate timing and duration estimation of noisy frequency agile signal by image homogeneous detection and morphological signature matching schemes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966728/ https://www.ncbi.nlm.nih.gov/pubmed/36850695 http://dx.doi.org/10.3390/s23042094 |
work_keys_str_mv | AT chengyuanpin lowfalsealarmratetiminganddurationestimationofnoisyfrequencyagilesignalbyimagehomogeneousdetectionandmorphologicalsignaturematchingschemes AT changchiahsuan lowfalsealarmratetiminganddurationestimationofnoisyfrequencyagilesignalbyimagehomogeneousdetectionandmorphologicalsignaturematchingschemes AT chenjungchih lowfalsealarmratetiminganddurationestimationofnoisyfrequencyagilesignalbyimagehomogeneousdetectionandmorphologicalsignaturematchingschemes |