THE ANALYSIS OF TWO-PROFILE ENVIRONMENT GROUND CLUTTER STATISTICS MEASURED USING FORWARD SCATTER RADAR WITH VHF AND UHF BANDS
DOI:
https://doi.org/10.11113/jt.v78.6215Keywords:
FSR, VHF, UHF, Weibull, Gamma, Log-Logistic, Log-Normal, GOF, RMSE, CSAbstract
In this paper, a FSR two-profile environment ground clutter-measured signal with very high frequency (VHF) and ultra high frequency (UFH) at a border of dense forest and free space area are presented. Statistical distribution method is used to model the clutter signal, namely Weibull, Gamma, Log-Logistic and Log-Normal distribution. Two goodness-of-fit (GOF) tests are used to calculate the error between the amplitude of the clutter data and the statistical model, which are the root mean square error (RMSE) and chi-square (CS). At the end of this analysis, Weibull model was found to be the best fit for 64 MHz clutter signal while Gamma model is best fitted at 151 MHz carrier frequency. Another model known as Log-Logistic model fits well to a clutter signal measured with 434 MHz carrier frequency.
References
M. Cherniakov, M. Salous, P. Jancovic, R. Abdullah, and V. Kostylev. 2011. Forward Scattering Radar for Ground Targets Detection and Recognition. 2nd Electro-Magnetic Remote Sensing (EMRS) Defence Technology Centre (DTC) Technical Conference. 6 pages.
M. Antoniou, V. Sizov, C. Hu, P. Jancovic, R. Abdullah, N. E. A. Rashid, and M. Cherniakov. 2008. The Concept of A Forward Scattering Micro-Sensors Radar Network for Situational Awareness. Proceedings of The 2008 International Conference on Radar. 171-176.
M. Cherniakov, M. Gashinova, L. Daniel, V. Sizov, and E. Hoare. 2013. Phenomenology of Doppler Forward Scatter Radar for Surface Targets Observation. IET Radar, Sonar Navig. 7(4): 422-432.
S. Chiu. 2003. Clutter Effects on Ground Moving Target Velocity Estimation with SAR Along-Track Interferometry. 2003 IEEE International Geoscience and Remote Sensing Symposium. 1314-1319.
N. E. A. Rashid, P. Jancovic, M. Gashinova, M. Cherniakov, and V. Sizov. 2010. The Effect of Clutter on The Automatic Target Classification Accuracy in FSR. IEEE National Radar Conference. 596-602.
J. Liang, Q. Liang, and S. W. Samn. 2008. Foliage Clutter Modeling Using The UWB Radar. IEEE International Conference on Communications. 1937-1941.
W. Zhana and Z. Li. 2011. Modeling and Simulation of Ground Clutter in the Improvement Factor Test. 6th IEEE Joint International Information Technology and Artificial Intelligence Conference. 250-253.
M. Gashinova, M. Cherniakov, N. A. Zakaria, and V. Sizov. 2010. Empirical Model of Vegetation Clutter in Forward Scatter Radar Micro-Sensors. IEEE National Radar Conference. 899-904.
N. N. Ismail, N. E. A. Rashid, N. A. Zakaria, Z. Ismail Khan, and V. Sizov. 2015. Clutter Modeling for Forward Scatter Radar (FSR) Micro-Sensor Network with Ultra High Frequency (UHF) Band. IEEE 11th International Colloquium on Signal Processing & its Applications. 116-120.
V. Sizov, C. Hu, M. Antoniou, and M. Cherniakov. 2008. Vegetation Clutter Spectral Properties in VHF/UHF Bistatic Doppler Radar. IEEE Radar Conference. 1-6.
R. S. A. R. Abdullah, M. F. A. Rasid, M. W. Azis, and M. Khalafalla. 2007. Target Prediction in Forward Scattering Radar. Asia-Pacific Conference on Applies Electromagnetic Processing. 5 pages.
Downloads
Published
Issue
Section
License
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.