基于AIS的对海雷达多目标联合误差估计方法

提出了一种基于AIS的对海警戒雷达多目标联合误差估计方法,该方法以高精度AIS提供的目标信息为目标真值,对雷达进行误差估计。利用系统积累的多目标航迹信息,首先进行目标粗关联,将航迹信息进行时空对准后产生误差序列,通过单目标误差序列统计信息进行异常值的筛选,再通过多目标误差序列进行错误关联目标的检验,最终对剩余误差序列进行误差估计。通过实测数据和实际应用证明,该方法估计的雷达误差较准确,用估计结果对雷达误差进行校准后可有效减小对海雷达的系统误差。

A Multi-target Joint Bias Estimation Method for Sea Surveillance Radar Based on AIS

A multi-target joint bias estimation method for sea surveillance radar based on AIS is proposed in this paper. Using the AIS with the higher precision as target true value, by which estimates the bias of radar. Based on the multi-target track data,firstly associates the tracks in the presence of systematic bias,then generates the error series after temporal and space alignment. With one target error series,filtrates the abnormal track point,then eliminate the false correlated track by statistical test using multi-target error series. At last,the system bias is estimated. The measured data and practical application shows that this method can properly estimate the bias,and the system bias is effectively reduced after calibration with the estimated result.