Abstract
The objective of this research is to find the probability of detection of fluctuating targets. The plot between detection probability, false alarm probability, and signal-to-noise ratio (SNR) will be made for Swerling fluctuating target models. The variation of the scattered signal is based on radar cross section (RCS). We have taken two Swerling targets: SWI represents scan-to-scan fluctuating targets, where SWII represents fast pulse-to-pulse fluctuation. We have used the mathematical relation for respected targets. On the basis of mathematical formula, we have done MATLAB coding to find the graphs between probability of detection and false alarm probability, and graphs between other parameters define the correct target.
References
Marcum J. I., A Statistical Theory of Target Detection by Pulsed Radar, The Rand Corporation, Research Memorandum RM-754, December 1, 1947.
Swerling, P.: Probability of Detection for Fluctuating Targets, IRE Trans., vol. IT-6, pp. 269–308, April 1960.
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Marcum J. I., A Statistical Theory of Target Detection by Pulsed Radar: Mathematical Appendix, The Rand Corporation, Research Memorandum RM-753, July 1, 1948.
Mahafza, B.R: “Radar Systems Analysis and Design using Matlab”, CRC Press LLC, 2000 N.W.
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Singh, P., Kapri, S., Saklani, R., Mehta, P., Chaturvedi, S.K. (2018). Estimation of Probability of Detection and False Alarm Alert for Swerling Targets. In: Singh, R., Choudhury, S., Gehlot, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 624. Springer, Singapore. https://doi.org/10.1007/978-981-10-5903-2_10
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DOI: https://doi.org/10.1007/978-981-10-5903-2_10
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