A General Framework for Channel Domain SVD Clutter Filtering

Abstract

Eigen-based clutter filtering of Doppler data has demonstrated greater clutter rejection performance than traditional filtering in a number of studies. However, practical translation of these eigen-based techniques to channel domain filtering applications is limited by their high computational burden. To enable efficient eigen-based filtering of channel data, we propose a domain-adaptive filtering framework. This technique involves using a basis set generated from RF data to filter delayed channel data. Preliminary findings suggest that this technique retains superior clutter rejection performance in comparison to conventional techniques.