Detection and Parameter Estimation Analysis of Binary Shift Keying Signals in High Noise Environments

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F23%3A00557984" target="_blank" >RIV/60162694:G43__/23:00557984 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/1424-8220/22/9/3203/pdf" target="_blank" >https://www.mdpi.com/1424-8220/22/9/3203/pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/s22093203" target="_blank" >10.3390/s22093203</a>

Result language

angličtina

Original language name

Detection and Parameter Estimation Analysis of Binary Shift Keying Signals in High Noise Environments

Original language description

In this paper, a new method for detecting and estimating the parameters of a binary phase shift keying (BPSK) signal, based on a cross-correlation function, is proposed. The proposed method consists of two stages. The first stage is used to detect or estimate a signal carrier frequency, and the second stage is used to estimate its pulse width or symbol rate. Firstly, the proposed method is investigated by use of a simulated BPSK signal in the form of Barker Codes 7, 11, and 13 in the MATLAB environment. Based on the simulation results, the functionality of this method is verified using a real-time BPSK signal generated by an E8267C generator. This is described in the second part of this paper. The experimental test results confirm that the proposed method is able to detect and estimate the parameters of all BPSK signals with SNR ≥ −21 dB.

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

20201 - Electrical and electronic engineering

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

Publication year

2022

Confidentiality

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

Name of the periodical

Sensors

ISSN

1424-8220

e-ISSN

—

Volume of the periodical

22

Issue of the periodical within the volume

9

Country of publishing house

CH - SWITZERLAND

Number of pages

14

Pages from-to

3203

UT code for WoS article

000794811600001

EID of the result in the Scopus database

2-s2.0-85128716305