Recognition method of radar intra-pulse modulation type based on signal square spectrum bandwidth ratio

Abstract The twenty-first century is the era of electronic warfare and information warfare. The focus is of the battle between all parties. CEEMD can link the time domain and frequency domain, describe the two-dimensional time–frequency characteristics of the signal, and draw the time–frequency diag...

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Autores principales:	Dongmei Li, Zhiyuan Xu, Lei Gu, Lanxiang Zhu
Formato:	article
Lenguaje:	EN
Publicado:	SpringerOpen 2021
Materias:	Signal square spectrum Bandwidth ratio Radar intra-pulse modulation type Recognition method Telecommunication TK5101-6720 Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/3e54e857a3fb48e0bca55ec48306ff6b
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spelling	oai:doaj.org-article:3e54e857a3fb48e0bca55ec48306ff6b2021-11-08T10:45:07ZRecognition method of radar intra-pulse modulation type based on signal square spectrum bandwidth ratio10.1186/s13634-021-00820-91687-6180https://doaj.org/article/3e54e857a3fb48e0bca55ec48306ff6b2021-11-01T00:00:00Zhttps://doi.org/10.1186/s13634-021-00820-9https://doaj.org/toc/1687-6180Abstract The twenty-first century is the era of electronic warfare and information warfare. The focus is of the battle between all parties. CEEMD can link the time domain and frequency domain, describe the two-dimensional time–frequency characteristics of the signal, and draw the time–frequency diagram of the signal, so as to reduce the noise signal and improve the signal-to-noise ratio of the signal. The purpose of this paper was to study how to adjust the signal square spectrum bandwidth ratio in the subject of identifying the intra-pulse modulation of radar, so as to solve the problem of identifying the type of radar intra-pulse modulation. The experimental results in this paper show that the decomposition result of EEMD is incomplete and the signal reconstruction error is larger. Compared with the previous two methods, not only the CEEMD method can effectively suppress modal aliasing, but also the decomposition result is complete; the signal reconstruction error is very small, and the decomposition results close to ideal value. The interleaving filter with a bandwidth ratio of 1:2 can divide the 100 GHz channel spacing into asymmetric output spectra with bandwidths greater than 60 GHz and 30 GHz, which effectively improves the current mix of 10 Gb/s and 40 Gb/s The bandwidth utilization of the system illustrates the success of the simulation experiment.Dongmei LiZhiyuan XuLei GuLanxiang ZhuSpringerOpenarticleSignal square spectrumBandwidth ratioRadar intra-pulse modulation typeRecognition methodTelecommunicationTK5101-6720ElectronicsTK7800-8360ENEURASIP Journal on Advances in Signal Processing, Vol 2021, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Signal square spectrum Bandwidth ratio Radar intra-pulse modulation type Recognition method Telecommunication TK5101-6720 Electronics TK7800-8360
spellingShingle	Signal square spectrum Bandwidth ratio Radar intra-pulse modulation type Recognition method Telecommunication TK5101-6720 Electronics TK7800-8360 Dongmei Li Zhiyuan Xu Lei Gu Lanxiang Zhu Recognition method of radar intra-pulse modulation type based on signal square spectrum bandwidth ratio
description	Abstract The twenty-first century is the era of electronic warfare and information warfare. The focus is of the battle between all parties. CEEMD can link the time domain and frequency domain, describe the two-dimensional time–frequency characteristics of the signal, and draw the time–frequency diagram of the signal, so as to reduce the noise signal and improve the signal-to-noise ratio of the signal. The purpose of this paper was to study how to adjust the signal square spectrum bandwidth ratio in the subject of identifying the intra-pulse modulation of radar, so as to solve the problem of identifying the type of radar intra-pulse modulation. The experimental results in this paper show that the decomposition result of EEMD is incomplete and the signal reconstruction error is larger. Compared with the previous two methods, not only the CEEMD method can effectively suppress modal aliasing, but also the decomposition result is complete; the signal reconstruction error is very small, and the decomposition results close to ideal value. The interleaving filter with a bandwidth ratio of 1:2 can divide the 100 GHz channel spacing into asymmetric output spectra with bandwidths greater than 60 GHz and 30 GHz, which effectively improves the current mix of 10 Gb/s and 40 Gb/s The bandwidth utilization of the system illustrates the success of the simulation experiment.
format	article
author	Dongmei Li Zhiyuan Xu Lei Gu Lanxiang Zhu
author_facet	Dongmei Li Zhiyuan Xu Lei Gu Lanxiang Zhu
author_sort	Dongmei Li
title	Recognition method of radar intra-pulse modulation type based on signal square spectrum bandwidth ratio
title_short	Recognition method of radar intra-pulse modulation type based on signal square spectrum bandwidth ratio
title_full	Recognition method of radar intra-pulse modulation type based on signal square spectrum bandwidth ratio
title_fullStr	Recognition method of radar intra-pulse modulation type based on signal square spectrum bandwidth ratio
title_full_unstemmed	Recognition method of radar intra-pulse modulation type based on signal square spectrum bandwidth ratio
title_sort	recognition method of radar intra-pulse modulation type based on signal square spectrum bandwidth ratio
publisher	SpringerOpen
publishDate	2021
url	https://doaj.org/article/3e54e857a3fb48e0bca55ec48306ff6b
work_keys_str_mv	AT dongmeili recognitionmethodofradarintrapulsemodulationtypebasedonsignalsquarespectrumbandwidthratio AT zhiyuanxu recognitionmethodofradarintrapulsemodulationtypebasedonsignalsquarespectrumbandwidthratio AT leigu recognitionmethodofradarintrapulsemodulationtypebasedonsignalsquarespectrumbandwidthratio AT lanxiangzhu recognitionmethodofradarintrapulsemodulationtypebasedonsignalsquarespectrumbandwidthratio
_version_	1718442610467536896

Recognition method of radar intra-pulse modulation type based on signal square spectrum bandwidth ratio

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