A single dataset Joint Domain Localized Algorithm for clutter suppression in shipborne High Frequency Surface Wave Radar

Abstract

Due to the motion of the platform, targets with low velocity like ships will be submerged in the spreading spectrum of the first-order sea clutter in shipborne high frequency surface wave radar (HFSWR). For shipborne HFSWR, the statistics characteristic of the first-order sea clutter vary significantly in range dimension and the qualified training samples are limited, the performance of the generally used clutter suppression method space-time adaptive processing (STAP) degrades in this scenario. To deal with this problem, a single dataset algorithm using only one range cell to estimate the clutter covariance matrix (CCM) is proposed. The CCM is estimated from other angle-Doppler regions in the same range bin based on the prior knowledge of the spread sea clutter. The proposed algorithm has a good performance tested by real data.