Adaptive clutter identification and filtering using subspace processing technique
نویسندگان
چکیده
Clutter contamination is common in radar observations and is one of the major factors impacting quantitative applications. This can be particularly severe for ground based weather radar when observing the precipitation at low attitude and close range. Strong clutter can project observations with intense reflectivity as well as bias the Doppler moments. The NSF engineering research center of collaborative adaptive sensing of atmosphere (CASA) is developing a new sensing paradigm using short range radar to observe the lower troposphere (McLaughlin et al. 2005). Clutter will be an important aspect to deal with at close ranges.
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