Abstract
A new type constant false alarm rate (CFAR) detectors based on censored mean(CM) and cell average(CA) is proposed in this paper. they use the logic operation (the mean value, the greatest value or the smallest value )of CM and CA local estimations as a noise power estimation. Under Swerling II target models and homogeneous background assumption, the analytic expressions of Pd and Pfa are derived for the three detectors. Their detection performance is analyzed in homogeneous background and in multiple interfering targets situation. The results show that the detection performance of the mean value of CM and CA detector is better.
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References
Richard, J.T., Dillard, G.M.: Adaptive Detection Algorithm for multiple target situation. IEEE Trans. on AES 13(4), 338–343 (1977)
Finn, H.M., Johnson, R.S.: Adaptive Detection Mode with Threshold control as a Function of spatially Sampled Clutter level Estimates. RCA Review 29, 414–464 (1968)
You, H., Jian, G.: Radar Automatic Detection and Constant false alarm rate processing. Tsinghua University Publishing Company (1998)
Willson, S.L.: Two CFAR algorithms for interfering targets and nonhomogeneous clutter. IEEE Trans. on AES 29, 57–72 (1993)
He, Y., Peng, Y., Lu, D.: A New CFAR Detector Based on Order Statistics and cell Averaging. In: IEEE International Conference on Radar, pp. 401–404 (1996)
Levanon, N.: Detection Loss Due to Interfering Targets in Ordered Statistics CFAR. IEEE Trans. on AES 24(6), 678–681 (1988)
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© 2012 Springer-Verlag Berlin Heidelberg
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Ma, J., Wu, L., Xu, S., Xu, Y., Xia, H. (2012). A New Type CFAR Detectors Based on Censored Mean and Cell Average. In: Zhang, Y., Zhou, ZH., Zhang, C., Li, Y. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2011. Lecture Notes in Computer Science, vol 7202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31919-8_90
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DOI: https://doi.org/10.1007/978-3-642-31919-8_90
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31918-1
Online ISBN: 978-3-642-31919-8
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