Detection and parameter estimation of intra-pulse modulated radar signals in complex interference environments(+)

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

Detection and parameter estimation of intra-pulse modulated radar signals in complex interference environments(+)

Original language description

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.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10700 - Other natural sciences

Project

<a href="/en/project/TM02000035" target="_blank" >TM02000035: NEO classification of signals (NEOCLASSIG) for radio surveillance systems</a><br>

Continuities

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

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

SN Applied Sciences

ISSN

2523-3963

e-ISSN

2523-3971

Volume of the periodical

5

Issue of the periodical within the volume

7

Country of publishing house

CH - SWITZERLAND

Number of pages

18

Pages from-to

184

UT code for WoS article

001009484800001

EID of the result in the Scopus database

2-s2.0-85161938259