【摘要】 针对雷达组网中目标跟踪精度问题,提出了一种实时相似性雷达探测误差校正方法.该方法突破了传统的实时精度控制算法(RTQC)中假设条件的限制.实验结果表明,经过相似性误差校正以后,目标跟踪精度大幅度提高,且校正后比校正前降低了虚警率,减少了虚假航迹数量.更多还原

【Abstract】 For the purpose of improving radar netting tracking accuracy, a new algorithm based on similarity calibration is proposed. The algorithm breaks through the condition in the real-time quality control (RTQC) algorithm and provides a new way to reduce errors in radar netting system. The experiment results indicate that this algorithm can improve the accuracy of target track in fusion center, and decrease the number of target false rate and false track.更多还原