基于恒虚警的高频雷达起伏目标检测算法研究

针对高频雷达目标检测过程中由于信噪比波动导致检测概率降低、跟踪丢失的问题,提出了基于高低双门限的关联检测算法。基于高频雷达相邻次扫描过程中目标运动信息的相关性,根据目标的速度、距离、方位等运动信息为目标建立关联区域,后续检测时在此关联区域内自动降低判决门限以提高检测概率。理论分析及实测数据表明,与常规恒虚警检测比较,关联检测算法在保持相同虚警概率的同时可获得更高的检测概率,从而有效提高高频雷达的检测和跟踪性能。

The CFAR-based correlative detection algorithm for fluctuant targets

The radar targets with fluctuant SNR is subject to detection performance degradation and tracking loss.A novel detection method with adaptive two thresholds is proposed to achieve high detection probability with the lower threshold and low false probability with the higher.The algorithm firstly saves the detection flag for every target in its correlative region,which is plotted according to the target range,Doppler frequency,and azimuth.During the next detection,the cell under test in the correlative region is automatically compared with the lower threshold.Compared with the conventional CFAR methods,the adaptive procedure shows good detection performance in theoretical analysis and application to HF radar data.