Detection and parameter estimation of intra-pulse modulated radar signals in complex interference environments(+)
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F24%3A00560159" target="_blank" >RIV/60162694:G43__/24:00560159 - isvavai.cz</a>
Výsledek na webu
<a href="https://link.springer.com/article/10.1007/s42452-023-05403-x#Abs2" target="_blank" >https://link.springer.com/article/10.1007/s42452-023-05403-x#Abs2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s42452-023-05403-x" target="_blank" >10.1007/s42452-023-05403-x</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Detection and parameter estimation of intra-pulse modulated radar signals in complex interference environments(+)
Popis výsledku v původním jazyce
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≥−12 dB is performed. As a result, the technique outperforms the existing detection methods based on machine learning and artificial intelligence.
Název v anglickém jazyce
Detection and parameter estimation of intra-pulse modulated radar signals in complex interference environments(+)
Popis výsledku anglicky
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≥−12 dB is performed. As a result, the technique outperforms the existing detection methods based on machine learning and artificial intelligence.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10700 - Other natural sciences
Návaznosti výsledku
Projekt
<a href="/cs/project/TM02000035" target="_blank" >TM02000035: Pokroková klasifikace signálů (NEOCLASSIG) pro radio-průzkumné systémy</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
SN Applied Sciences
ISSN
2523-3963
e-ISSN
2523-3971
Svazek periodika
5
Číslo periodika v rámci svazku
7
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
18
Strana od-do
184
Kód UT WoS článku
001009484800001
EID výsledku v databázi Scopus
2-s2.0-85161938259