Detection and parameter estimation of intra-pulse modulated radar signals in complex interference environments+
Abstract The main aim of this review is to describe in detail an advanced technique to detect and estimate the prior unknown parameters of intra-pulse modulated signals and the verification with typical radar signals. The method is approved for detecting parameters successfully, including chirp rate...
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Springer
2023-06-01
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Series: | SN Applied Sciences |
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Online Access: | https://doi.org/10.1007/s42452-023-05403-x |
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author | Van Minh Duong Jiri Vesely Petr Hubacek Premysl Janu Xuan Luong Tran |
author_facet | Van Minh Duong Jiri Vesely Petr Hubacek Premysl Janu Xuan Luong Tran |
author_sort | Van Minh Duong |
collection | DOAJ |
description | Abstract The main aim of this review is to describe in detail an advanced technique to detect and estimate the prior unknown parameters of intra-pulse modulated signals and the verification with typical radar signals. The method is approved for detecting parameters successfully, including chirp rate, carrier frequency, and pulse width. The review presents already-done research on detecting and estimating single and multi-component linear frequency modulation (LFM) and binary phase shift keying (BPSK) signals in a strong noise environment and studies the technique on one more case, a mixture of LFM and BPSK signals. Firstly, the accuracy of the revised technique is shown in detecting and estimating parameters of a single and multi-component LFM signal in white noise and a mixture of continuous wave signals and noise, or a single BPSK signal in strong white noise. All of them have been done in the existing studies. This method is continuously tested in the second part by detecting a mixture of LFM and BPSK signals and estimating their parameters in intense noise. The tested experimental results demonstrate that the technique can detect single and multi-component real-time LFM signals, single BPSK as well as verification with a mixture of real-time LFM and BPSK signals with $$SNR \ge - 12{\text{ dB}}$$ S N R ≥ - 12 dB is performed. As a result, the technique outperforms the existing detection methods based on machine learning and artificial intelligence. |
first_indexed | 2024-03-13T04:48:52Z |
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id | doaj.art-cf5b14c926b94917b1dcb6779a8e1c59 |
institution | Directory Open Access Journal |
issn | 2523-3963 2523-3971 |
language | English |
last_indexed | 2024-03-13T04:48:52Z |
publishDate | 2023-06-01 |
publisher | Springer |
record_format | Article |
series | SN Applied Sciences |
spelling | doaj.art-cf5b14c926b94917b1dcb6779a8e1c592023-06-18T11:22:00ZengSpringerSN Applied Sciences2523-39632523-39712023-06-015711810.1007/s42452-023-05403-xDetection and parameter estimation of intra-pulse modulated radar signals in complex interference environments+Van Minh Duong0Jiri Vesely1Petr Hubacek2Premysl Janu3Xuan Luong Tran4Department of Electronic Warfare, Faculty of Radio-Electronic Engineering, Le Quy Don Technical UniversityDepartment of Communication Technologies, Electronic Warfare and Radiolocation, Faculty of Military Technology, University of DefenceDepartment of Communication Technologies, Electronic Warfare and Radiolocation, Faculty of Military Technology, University of DefenceDepartment of Communication Technologies, Electronic Warfare and Radiolocation, Faculty of Military Technology, University of DefenceDepartment of Radar Basics, Air Defence, Air Force AcademyAbstract The main aim of this review is to describe in detail an advanced technique to detect and estimate the prior unknown parameters of intra-pulse modulated signals and the verification with typical radar signals. The method is approved for detecting parameters successfully, including chirp rate, carrier frequency, and pulse width. The review presents already-done research on detecting and estimating single and multi-component linear frequency modulation (LFM) and binary phase shift keying (BPSK) signals in a strong noise environment and studies the technique on one more case, a mixture of LFM and BPSK signals. Firstly, the accuracy of the revised technique is shown in detecting and estimating parameters of a single and multi-component LFM signal in white noise and a mixture of continuous wave signals and noise, or a single BPSK signal in strong white noise. All of them have been done in the existing studies. This method is continuously tested in the second part by detecting a mixture of LFM and BPSK signals and estimating their parameters in intense noise. The tested experimental results demonstrate that the technique can detect single and multi-component real-time LFM signals, single BPSK as well as verification with a mixture of real-time LFM and BPSK signals with $$SNR \ge - 12{\text{ dB}}$$ S N R ≥ - 12 dB is performed. As a result, the technique outperforms the existing detection methods based on machine learning and artificial intelligence.https://doi.org/10.1007/s42452-023-05403-xProbability of detectionProbability of pulse width estimationFrequency modulationPhase modulationAutocorrelation |
spellingShingle | Van Minh Duong Jiri Vesely Petr Hubacek Premysl Janu Xuan Luong Tran Detection and parameter estimation of intra-pulse modulated radar signals in complex interference environments+ SN Applied Sciences Probability of detection Probability of pulse width estimation Frequency modulation Phase modulation Autocorrelation |
title | Detection and parameter estimation of intra-pulse modulated radar signals in complex interference environments+ |
title_full | Detection and parameter estimation of intra-pulse modulated radar signals in complex interference environments+ |
title_fullStr | Detection and parameter estimation of intra-pulse modulated radar signals in complex interference environments+ |
title_full_unstemmed | Detection and parameter estimation of intra-pulse modulated radar signals in complex interference environments+ |
title_short | Detection and parameter estimation of intra-pulse modulated radar signals in complex interference environments+ |
title_sort | detection and parameter estimation of intra pulse modulated radar signals in complex interference environments |
topic | Probability of detection Probability of pulse width estimation Frequency modulation Phase modulation Autocorrelation |
url | https://doi.org/10.1007/s42452-023-05403-x |
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