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Airborne weather radar Is being developed to detect hazardous low altitude windstmar which has been a major contributing factor in many airline crashes In this country. One of the major challenges is development of signal processing algorithms which will perform satisfactorily when the weather return signal power to Interfering ground clutter return power is very low. This paper describes two basic approaches which are under Investigation. One approach is to estimate windspeed from the radar returns using an extended Prony based method without a clutter rejection pre-filter, since the fllterlng process itself can reduce the weather signal below useful Isvels. Alternatively, improved clutter pre-filtering techniques are being iwestigated based on an adaptive noise canceller implementaticm of the LMS algorithm. Results are presented to illustrate some of the capabilities of each. Also described is a method for merging flight experimental clutter return data with a simulated microburst return based on a radar measured windfield. This allows very rare low reflectivity weather events to be studied in the presence of actual clutter data.

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