A Clutter Sample Selection-Based Generalized Sidelobe Canceller Algorithm for Ionosphere Clutter Suppression in HFSWR

摘要

Ionosphere clutter is one of the majority interference in High Frequency Surface Wave Radar. Duo to the ionosphere is a time-varying, non-stationary and layered lossy media, the ionosphere clutter suppression problem become a stubbornly challenge. In this paper, a clutter sample selection-based Generalized Sidelobe Canceller (GSC) algorithm for ionosphere clutter suppression is proposed by analyzing the spatial characteristics of the ionospheric clutter in the measured data. Using the training sample selection strategy and modified calculation of covariance matrix, we have obtained efficient ionosphere clutter suppression capability. At the end of this paper, the superiority of our proposed algorithm was demonstrated via simulation based on measured data.