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Distribution fitting for Antenna 3 clutter of ERA Rx1 data for range index 20

Statistical analysis of ground clutter from FM based passive radar

Abhishek Bhatta, Jan Pidanic, Amit Kumar Mishra


Statistical characterization of ground clutter information for radar systems is a topic that requires a detailed understanding. In this work, we characterize the ground clutter information from data captured by two Frequency Modulation (FM) based passive radar systems placed at different locations in the Czech Republic. Since the target models are statistically defined by the Swerling models, each of which is based on a particular distribution, we attempted to connect the ground clutter with some of the known distributions. The analysis is performed in three steps. The empirical distribution is fitted with some of the well-known distributions. Two different goodness-of-fit tests (named chi-squared test and Kolmogorov–Smirnov test) are performed on the obtained data by comparing the empirical distribution with the fitted distributions to determine which distribution is the best fit. The observations are analyzed and the results are considered in detail.


passive radar; ground clutter analysis; chi-squared test; Kolmogorov–Smirnov test; statistical analysis

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