Statistical analysis of real clutter at different range resolutions

• Published in: IEEE transactions on aerospace and electronic systems Vol. 40; no. 3; pp. 903 - 918
• Main Authors: Conte, E., De Maio, A., Galdi, C.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2004; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Air traffic control; Aircraft components; Amplitudes; Clutter; Degradation; Higher order statistics; Radar; Radar clutter; Radar detection; Random processes; Spectra; Spectral analysis; Statistical analysis; Statistics; Studies; Telecommunications; Testing
• ISSN: 0018-9251; 1557-9603
• DOI: 10.1109/TAES.2004.1337463

A statistical analysis is presented of real radar clutter data collected using the McMaster I FIX radar in 1998 and stored in the Grimsby database. We first show the deviations of the amplitude statistics from the Rayleigh model and the suitability of the K- and Weibull-distribution for the first-order amplitude statistical characterization. Thus we focus on the I and Q components of the available data and study their statistical compatibility with the compound Gaussian model. Towards this goal it has been necessary devising appropriate testing procedures; in particular, with reference to the higher order statistics agreement, we have designed a validation procedure involving the clutter representation into generalized spherical coordinates. Remarkably the results have confirmed the suitability of the spherically invariant random processes (SIRPs) for the correct modeling of the radar clutter. Finally we have performed a spectral analysis highlighting the close matching between the estimated clutter spectral density and the exponential model.