Clutter modeling for forward scatter radar (FSR) micro-sensor network with ultra high frequency (UHF) band

Author

Ismail, N.N. ; Rashid, N.E.A. ; Zakaria, N.A. ; Khan, Z. Ismail ; Sizov, V.

Author_Institution

Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia

fYear

2015

fDate

6-8 March 2015

Firstpage

116

Lastpage

120

Abstract

The clutter model for ultra high frequency (UHF) band for forward scatter radar (FSR) is developed in this paper using Log-Logistic distribution. The model follows maximum likelihood estimation (MLE) approach in finding the parameters for the distribution as well as root mean square error (RMSE) of the data between the clutter signal and statistical model as the goodness of fit (GOF) test. The model is then compared to four different distribution models, which are Log-Normal, Gamma, Weibull and Nakagami. The results of the comparisons show that Log-Logistic model best fits the clutter signal.

Keywords

UHF detectors; radar clutter; radar detection; statistical distributions; UHF band; clutter modeling; forward scatter radar; log-logistic distribution; maximum likelihood estimation; microsensor network; root mean square error; ultrahigh frequency band; Analytical models; Clutter; Data models; Maximum likelihood estimation; Nakagami distribution; Radar clutter; FSR; GOF; Gamma; Log-Logistic; Log-Normal; MLE; Nakagami; RMSE; UHF; Weibull;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing & Its Applications (CSPA), 2015 IEEE 11th International Colloquium on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4799-8248-6

Type

conf

DOI

10.1109/CSPA.2015.7225629

Filename

7225629