一种用于杂波中机动目标跟踪的自适应关联波门设计方法

发布时间：2018-08-03 13:41

【摘要】：针对传统关联波门设计方法在应用于机动目标跟踪时容易引起失跟现象的问题,提出一种新的自适应关联波门设计方法。该方法在综合交互多模型概率数据关联算法的基础上进行关联波门设计,当波门内不存在有效量测时,首先以最大机动水平对应的模型误差协方差对关联波门进行适当扩大,确保量测点迹进入波门。然后假定目标的机动能力已知,在目标运动状态的预测范围内利用观测信息寻找最小均方误差意义下的最优波门中心。该方法可以从根本上改善关联概率,从而降低失跟率,提高目标跟踪精度。仿真结果表明,与传统关联波门设计方法相比,该方法的失跟率降低了30%~40%,而且目标机动时的跟踪精度提高了20%~30%。实测数据同样验证了该方法的有效性。
[Abstract]:In order to solve the problem that the traditional design method of correlated-wave gate is easy to cause misalignment when it is applied to maneuvering target tracking, a new design method of adaptive correlation-gate is proposed. This method is based on the interactive multi-model probabilistic data association algorithm. When there is no effective measurement in the gate, the correlation wave gate is expanded with the model error covariance corresponding to the maximum maneuvering level. Make sure the measurement track enters the gate. Then, assuming that the maneuverability of the target is known, the optimal wave gate center in the sense of minimum mean square error is found by using the observation information in the prediction range of the moving state of the target. This method can fundamentally improve the correlation probability, thus reducing the misalignment rate and improving the target tracking accuracy. The simulation results show that compared with the conventional correlation gate design method, this method can reduce the heel loss rate by 30% and 40%, and the tracking accuracy of the target maneuvering is improved by 20% 30%. The validity of the method is also verified by the measured data.
【作者单位】：西安电子科技大学雷达信号处理国家重点实验室;西安工程大学电子信息学院;
【基金】：国家自然科学基金资助项目(61271291) 教育部新世纪优秀人才支持计划资助项目(NCET-09-0630)
【分类号】：TN953

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