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Modelling and Performance Evaluation of Ground based Monostatic Radar Surveillance System

Bassey A. George, Akaninyene B. Obot, Kufre M. Udofia. Published in Information Systems.

Communications on Applied Electronics
Year of Publication: 2019
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Bassey A. George, Akaninyene B. Obot, Kufre M. Udofia

Bassey A George, Akaninyene B Obot and Kufre M Udofia. Modelling and Performance Evaluation of Ground based Monostatic Radar Surveillance System. Communications on Applied Electronics 7(28):17-21, May 2019. BibTeX

	author = {Bassey A. George and Akaninyene B. Obot and Kufre M. Udofia},
	title = {Modelling and Performance Evaluation of Ground based Monostatic Radar Surveillance System},
	journal = {Communications on Applied Electronics},
	issue_date = {May 2019},
	volume = {7},
	number = {28},
	month = {May},
	year = {2019},
	issn = {2394-4714},
	pages = {17-21},
	numpages = {5},
	url = {},
	doi = {10.5120/cae2019652822},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


The modelling and performance evaluation of ground based monostatic radar surveillance system presented in this paper is analysed in terms of system performance results, input data of the radar system and its operating mode. Radar equations are derived to obtain the minimum detection signal (Pmin), system loss (Lsys), minimum signal-to-noise ratio (SNR)min and maximum detection range equation (Rmax) respectively. Radar parameters such as transmit peak power (Pt), antenna gain (G), radar cross section (RCS), bandwidth (B), and other parameters are analysed in the radar equations. Radar system losses (Lsys) are accounted into the modified radar equations and calculated to be 21.1 dB. The modified radar equations with Pt = 15 kW, and Rmax = 500 km, also gives a significantly lower value of SNR = 27.0 dB. Analysing the radar performance, MATLAB simulation program is used to evaluate the radar performance equations with different parameter values. Target detection radar signal is a difficult problem when the SNR is low, thereby causing the constant false alarm rate (CFAR) processor to adjust threshold. Simulation results are presented respectively.


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Radar System, System loss, Range and Signal to noise ratio.