Abstract
For clutter with long tailing characteristics, such as Weibull distribution, Ruili distribution, lognormality, and K-distribution, CFAR processors corresponding to various distributions need to be used when CFAR processing technology is used. Otherwise, it is difficult to obtain constant false alarm characteristics when the statistical characteristics of clutter change. From the viewpoint of improving the robustness of CFAR, according to the central limit theorem and the logarithmic compression principle of the signal, this paper attempts to accumulate and average the radar signal before CFAR processing according to the pulse accumulation characteristics and median limit theorem of radar signals. The clutter of the post-PDF is close to a normal distribution, which effectively eliminates the trailing effect of the clutter characteristics, i.e., it effectively suppresses the sharp peak interference and the distribution characteristics of the normalized clutter.
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Liu, Y., Zhang, S., Suo, J. (2020). Normalization of Statistical Properties of Sea Clutter Based on Non-coherent Accumulation. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_41
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DOI: https://doi.org/10.1007/978-981-13-6504-1_41
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