基于地图信息的机载雷达对海探测目标检测算法

机载雷达在对临近陆地的海面目标进行探测时会受到很强的陆地杂波干扰，海面附近的强陆地杂波会导致探测范围内虚警概率升高，严重影响雷达的对海探测性能. 针对该问题本文提出了一种基于地图信息的机载雷达对海探测目标检测算法，所提算法通过载机惯导系统提供的载机姿态及天线指向等信息计算天线波束照射区域的经纬度，并将其与地图数据匹配实现海陆分割，进而剔除陆地虚警，输出海面目标. 基于X波段雷达探测实验数据的实验结果表明，本文所提算法能够快速准确判断目标的海陆位置，通过海陆目标的筛选与剔除，提高机载雷达在陆地杂波较强的情况下对海探测性能. 

Sea Target Detection Algorithm for Airborne Radar Based on Map Information

The airborne radar may affected by sea clutter or ground clutter when detecting targets on the sea surface. Due to the strong ground clutter, a lot of land targets will be detected, severely degrading the radar’s detection performance of sea surface target. In this paper, a sea target detection algorithm for airborne radar based on map information is proposed. The proposed algorithm first calculate the longitude and latitude information of the area, which the radar antenna beam illuminates, by using the carrier aircraft attitude data provided by inertial navigation system. Then search the sea-land information in the map data according to the longitude and latitude to realize the sea-land segmentation and realize the sea land detection. The proposed method is experimentally validated using real X-band radar detection experiment data, indicating that this method can recognize the target’s sea-land position exactly and help select or eliminate targets as demanded, significantly improve the radar’s detection performance.