恒虚警（CFAR）检测是地波雷达船只目标探测的主要方法。目前基于船舶自动识别系统（AIS）信息的 CFAR 检测验证方法是一种间接验证方式，容易受地波雷达系统测向误差的影响，且不具备对错检与漏检目标的分析能力。本文提出了一种基于 AIS 信息的评价地波雷达 CFAR 检测结果的直接验证方法。该方法将有效的 AIS 信息转换到地波雷达的距离－多普勒谱中，通过在该谱中 AIS 信息与 CFAR 检测结果的关联分析，实现 CFAR 检测结果的直接评价。论文首先给出了方法的原理和处理流程，然后利用实测数据给出了该方法在 CFAR 检测结果评价中的实际应用，验证了方法有效性，而且该方法也为低可观测目标的 CFAR 检测提供了参数优化调整的依据。“,”Constant False Alarm Rate (CFAR)detection is the main method used in the ship detection of High Fre-quency Surface Wave Radar (HFSWR).The present Automatic Identification System (AIS)based verification methods of CFAR results is an indirect method,which are subject to the influence of the direction estimation error and lack of the ability of analyzing the situations of false target and miss detection.In this paper,we introduced a direct method to evaluate the CFAR ship detection results of HFSWR based on range-Doppler projection of AIS data.The AIS data were converted and presented on the range-Doppler spectrum of HFSWR.These information were then associated with the CFAR results to facilitate direct evaluation.The principle and procedure of our method were introduced in detail,and the practical applications in CFAR results of field data were provided.It was demonstrated to be an effective verification method.Moreover,it could contribute to the parameter adjustment of CFAR in detection of low observable targets.