Abstract
The broadened first-order sea clutter in shipborne high frequency surface wave radar (HFSWR), which will mask the targets with low radial velocity, is a kind of classical space–time coupled clutter. Space–time adaptive processing (STAP) has been proven to be an effective clutter suppression algorithm for space-time coupled clutter. To further improve the efficiency of clutter suppression, a STAP method based on a generalized sidelobe canceller (GSC) structure, named as the auxiliary channel STAP, was introduced into shipborne HFSWR. To obtain precise clutter information for the clutter covariance matrix (CCM) estimation, an approach based on the prior knowledge to auxiliary channel selection is proposed. Auxiliary channels are selected along the clutter ridge of the first-order sea clutter, whose distribution can be determined by the system parameters and regarded as pre-knowledge. To deal with the heterogeneity of the spreading first-order sea clutter, an innovative training samples selection approach according to the Riemannian distance is presented. The range cells that had shorter Riemannian distances to the cell under test (CUT) were chosen as training samples. Experimental results with measured data verified the effectiveness of the proposed algorithm, and the comparison with the existing clutter suppression algorithms showed the superiority of the algorithm.
Highlights
In recent years, with the increasing emphasis on marine resources, long-distance detecting, tracking, and early warning of maritime targets have become the top priority of the current maritime rights protection work
It is worth noting that target 2 was alongside the theoretical position of the negative sea clutter patch where the Doppler frequency was 0.2039 Hz, while target
Unlike the conventional joint domain localized (JDL) algorithm, which has no special requirements for the distribution of clutter in the spatial and frequency domain, the generalized sidelobe canceller (GSC)-structure Space–time adaptive processing (STAP) method is suitable for scenario where clutter has a specific spatial or temporal distribution, for mobile platforms where the distribution of ground clutter or sea clutter can be obtained by the system parameters
Summary
With the increasing emphasis on marine resources, long-distance detecting, tracking, and early warning of maritime targets have become the top priority of the current maritime rights protection work. The movement of the platform causes the spread of the first-order sea clutter, which will obscure targets with low radial velocity like ships. How to detect the targets submerged in the clutter has become the focus of research on signal processing in shipborne HFSWR. The premise of clutter suppression is that the clutter and the target are distinguishable in a certain dimension. The characteristics of the clutter and target should be studied before designing a clutter suppression approach. The properties of the spread spectrum of first-order sea clutter has been analyzed and a technique for ship target detection by using the sum-and-difference beamformer was proposed [1]. The space–time distribution of the first-order sea clutter for shipborne HFSWR has been demonstrated and the linear
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