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.
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