Statistical Analysis of Ground Clutter from FM Based Passive Radar

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F19%3A39915420" target="_blank" >RIV/00216275:25530/19:39915420 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.3103%2FS0735272719080028" target="_blank" >https://link.springer.com/article/10.3103%2FS0735272719080028</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3103/S0735272719080028" target="_blank" >10.3103/S0735272719080028</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Statistical Analysis of Ground Clutter from FM Based Passive Radar

Popis výsledku v původním jazyce

Statistical characterization of ground clutter information for radar systems is a topic that requires a detailed understanding. In this work, we characterize the ground clutter information from data captured by two Frequency Modulation (FM) based passive radar systems placed at different locations in the Czech Republic. Since the target models are statistically defined by the Swerling models, each of which is based on a particular distribution, we attempted to connect the ground clutter with some of the known distributions. The analysis is performed in three steps. The empirical distribution is fitted with some of the well-known distributions. Two different goodness-of-fit tests (named chi-squared test and Kolmogorov-Smirnov test) are performed on the obtained data by comparing the empirical distribution with the fitted distributions to determine which distribution is the best fit. The observations are analyzed and the results are considered in detail.

Název v anglickém jazyce

Statistical Analysis of Ground Clutter from FM Based Passive Radar

Popis výsledku anglicky

Statistical characterization of ground clutter information for radar systems is a topic that requires a detailed understanding. In this work, we characterize the ground clutter information from data captured by two Frequency Modulation (FM) based passive radar systems placed at different locations in the Czech Republic. Since the target models are statistically defined by the Swerling models, each of which is based on a particular distribution, we attempted to connect the ground clutter with some of the known distributions. The analysis is performed in three steps. The empirical distribution is fitted with some of the well-known distributions. Two different goodness-of-fit tests (named chi-squared test and Kolmogorov-Smirnov test) are performed on the obtained data by comparing the empirical distribution with the fitted distributions to determine which distribution is the best fit. The observations are analyzed and the results are considered in detail.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Radioelectronics and Communications Systems

ISSN

0735-2727

e-ISSN

—

Svazek periodika

62

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

"391–399"

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85073205835