Adaptive least square complex lattice clutter rejection filters applied to the radar detection of low altitude windshear

Addresses the use of an adaptive complex clutter rejection filter for reducing the ground clutter bias in pulse-pair mean windspeed estimates of weather return data collected by low altitude airborne pulsed Doppler radar. A complex form of the square root normalized recursive-least-squares lattice estimation algorithm, which models the ground clutter as a low-order autoregressive process, is used to obtain the filter coefficients. Simulated dry microburst return and clutter return based on data taken from the Denver Stapleton airport are used to assess the capabilities of the clutter rejection filters. Results indicate that the clutter process is low order and that the model-based, complex-valued rejection filters offer potential for stable, real-time implementation