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Title: Clutter analysis and simulation in forward scatter micro radar network
Author: Zakaria, Nor Ayu Zalina Binti
ISNI:       0000 0004 6424 8662
Awarding Body: University of Birmingham
Current Institution: University of Birmingham
Date of Award: 2017
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Over the past few years, numbers of research have been carried out to investigate the clutter characteristic especially for conventional monostatic and bistatic radar detection (mostly in maritime and airborne using Ultra Wide Band radar and Synthetic Aperture Radar) and not specifically on Forward Scatter Radar (FSR). FSR provides an efficient approach for detection of stealth target, the simplicity of the hardware design, increase the power budget and work in all weather operation. One of the limitations in forward scatter radar is the range resolution. Clutter mainly from the surrounding vegetation is picked up from a large area illuminated by transmitter and receiver which is located on the ground. Vegetation clutter is a significant factor that limits the performance of ground based Forward Scatter Radar. In this research, the analysis is focused on clutter on ground-based Forward Scatter Micro Radar system network where the clutter characteristics are studied for different environmental conditions such as different land sites, wind and weather conditions for different carrier frequencies. These comprehensive analyses are used eventually, to determine the clutter characteristics and are used for clutter modelling in order to create similar clutter-like signal that can be used to develop a synthetic environment for Forward Scatter Radar detection performance analysis in the future. Three main works have been done; 1) real measurements to determine the Clutter characteristic for FSR based on statistical analysis of a number of experiments; 2) modeling and simulation of clutter signal based on real signal characteristics and 3) the comparison of simulated and measured signals.
Supervisor: Not available Sponsor: University of Birmingham ; University Technology MARA
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: TK Electrical engineering. Electronics Nuclear engineering