船舶导航雷达的海杂波抑制技术是提高海面目标检测性能的关键和难点技术,具有很高的军事和民用价值。文中基于数理统计理论,提出了多模型选择的海杂波自适应抑制方法,通过对雷达多次扫描的回波数据建立海杂波模型库,统计、估算各模型相应参数选择与雷达回波数据最佳匹配的模型,作抑制海杂波的对消处理。计算机仿真及实测数据处理,都验证该方法的有效性和可行性。

Sea clutter suppression technique based on marine navigation radar is the key and challenge for improvement of targets detection above the sea surface. It is of great value for military and civilian applications. Based on the theory of mathematical statistics, a sea clutter adaptive suppression algorithm via multi-model selection is proposed in this paper. Multiple scans of echo signals are utilized for establishment of the sea clutter model library. With statistics and estimation of corresponding parameters, the optimal matched model for echo data is applied to sea clutter suppression via cancellation. Results of simulations and experiments have demonstrated the validity and feasibility of the proposed algorithm.

TN957.51

国家自然科学基金资助项目;江苏省自然科学基金资助项目;江苏高校优势学科建设工程资助项目