A major challenge in radar design is to not overflow the processor with false detections. This paper investigates the performance of Constant False Alarm Rate (CFAR) algorithms on maintaining a fixed false alarm rate when windowing is used to reduce the sidelobes in both the slant-range and the Doppler domain. A Monte Carlo simulation was used to investigate the performance of Cell Averaging CFAR (CA-CFAR) and Ordered Statistic CFAR (OS-CFAR) algorithms. Results show that the windowing operation induces correlation between the samples. This correlation causes a large error in the Probability of False Alarm (PFA) when the CFAR scale factor was calculated using closed form equations, which assume that the samples are uncorrelated. In order to maintain a fixed false alarm rate when the windowing operation is used, the scale factor value should be calculated by simulation.
Reference:
Melebari, A, Melebari A, Alomar, W, Abdul Gaffar, MY, De Wind, R and Cilliers, J. 2015. The effect of windowing on the performance of the CA-CFAR and OS-CFAR algorithms. In: IEEE Radar Conference, Johannesburg, South Africa, 28-30 October 2015, pp 249-254.
Melebari, A., Melebari, A., Alomar, W., Abdul Gaffar, M., De Wind, R., & Cilliers, J. E. (2015). The effect of windowing on the performance of the CA-CFAR and OS-CFAR algorithms. IEEE. http://hdl.handle.net/10204/8459
Melebari, A, A Melebari, W Alomar, MY Abdul Gaffar, R De Wind, and Jacques E Cilliers. "The effect of windowing on the performance of the CA-CFAR and OS-CFAR algorithms." (2015): http://hdl.handle.net/10204/8459
Melebari A, Melebari A, Alomar W, Abdul Gaffar M, De Wind R, Cilliers JE, The effect of windowing on the performance of the CA-CFAR and OS-CFAR algorithms; IEEE; 2015. http://hdl.handle.net/10204/8459 .
IEEE Radar Conference, Johannesburg, South Africa, 28-30 October 2015. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website.
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