Spread sea clutter suppression via prior knowledge‐based space time adaptive processing in high frequency hybrid sky‐surface wave radar

In high frequency (HF) hybrid sky‐surface wave radar, the first‐order sea clutter broadening is severe under the action of ionospheric phase disturbance and bistatic angles. In this study, a spread sea clutter suppression method based on prior knowledge and joint domain localised (JDL) algorithm is proposed. Firstly, the first‐order sea clutter broadening mechanisms and model under the action of ionospheric phase disturbance and bistatic angles are introduced. Secondly, the space‐time coupling characteristics of the first‐order sea clutter is analysed. Then in order to better suppress clutter or avoid target information loss, the spread sea clutter suppression method based on space time adaptive processing is proposed. In the proposed method, the space‐time distribution characteristics and simulation model of the first‐order sea clutter is used as the prior knowledge into JDL algorithm to improve the sea clutter suppression performance. Finally, the performance of sea clutter suppression based on JDL algorithm is simulated and analysed. And the proposed spread sea clutter suppression method based on prior knowledge and JDL algorithm is proved by measured data. In this paper, the spread sea clutter suppression method based on prior knowledge and JDL algorithm in HF Hybrid sky‐surface wave propagation mode is proposed. The space‐time distribution characteristics and simulation model of the first‐order sea clutter is used as the prior knowledge into JDL algorithm to improve the sea clutter suppression performance. And the performance of sea clutter suppression based on JDL algorithm is simulated and analysed. The proposed spread sea clutter suppression method based on prior knowledge and JDL algorithm is proved by measured data.