Call for Paper

CAE solicits original research papers for the July 2023 Edition. Last date of manuscript submission is June 30, 2023.

Read More

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.


  1. Skolnik, M. I., Radar Hand Book. 3rd edition, ARTECH HOUSE, 2008. McGraw-Hill Inc, New Delhi
  2. Pike, J., Types of Radar.
  3. 07-07-2011.
  4. Skolnik, M. I., Introduction to Radar System. 3rd Edition. Tata McGraw-Hill Publishing Company Limited, 2004. 7 West Patel Nagar, New Delhi.
  5. Curry, R. G., Radar System Performance Modeling. 2nd Edition ARTECH HOUSE, INC, 2005, 658 Canton Street, Norwood, MA.
  6. Mahafza, B. I., Radar system Analysis and Design using MATLAB. 2013. CRC Press. Taylor and Francis Group.
  7. Noth, K. R. and Luke, D. W., Modelling and Simulation of Ground Based Radar Surveillance Solution for Unmanned Aircraft system Sense and Avoid. 2011. American Institute of Aeronautics and astronautics Inc. MITRE cooperation, Burlington, Bedford, MA, August 2011.
  8. NAMA (Nigerian Airspace Management Agency). Official training material 1 and 2 on Thales AN2000 STAR primary and RMS970 secondary radar antenna. 2018. Port Harcourt International Air Port, River State.
  9. Sulaiman, H. M., Sadoon, A. I and Badal, H. E., Radar Theoretical Study: Minimum Detection Range and Maximum Signal to Noise Ratio (SNR) Equation by Using MATLAB Simulation Program. 2013. Science publishing group
  10. Shrivas, A. K and Mudalisar A. Performance Evaluation of Radar systems.. International Journal of Innovative Research In. Computer and Communication Engr. 2015. 3(7) Chattisgarh, India.
  11. Wolff, C. B. W., Radar Basics. ‘Antenna’ Book 3. (GNU FREE DOCUMENTATION)
  12. Chang, k., RF and Microwave Wireless System. Wiley-interscience publication, John wiley and sons Inc., 2000. New York. 196p, 217p
  13. Nathanson, F. E., Reilly, P. J and Cohen, M. N., Radar Design Principle. 1999. SciTech publishing, Inc, 89 dean road, New Jersey, USA. 222p
  14. Barton, D. K., Modern Radar System Analysis. 3rd edition. Artech House, 2000. Norwood MA
  15. Meyer, D. P and Mayer, H. A., Radar Target Detection. Academic press, subcidiary of harcourt brace Jovanvich publication, 1973. New York, USA. 14p.
  16. Bhupender, R., Prediction of Range Performance 2018.
  17. Wolff, C. B. W., Radar Basics. ‘Operation’ Book 2. (GNU FREE DOCUMENTATION)
  18. Matrix Laboratory/Simulink Simulation Tool (MATLAB) 2014 Version. Technical Computer Language with installation license 0.78564a version 2014.


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