摘要
针对仅利用纯方位信息进行航迹关联在目标密集或交叉等复杂场景下性能较差的问题,提出了一种基于信号线谱特征的被动声呐航迹关联算法。利用水声目标方位、低频分析记录(LOFAR)线谱和噪声调制包络检测(DEMON)线谱信息构造航迹关联特征向量,对各特征因子的关联系数根据其数值分布区间进行动态加权,通过灰关联度分析计算多目标航迹关联度。仿真结果表明,该算法航迹关联性能与纯方位关联算法的相比有较大提高。
Aimed at the poor performance of the bearings-only track association algorithm for dense and crossed targets,a track association algorithm for passive sonars based on line spectrum features of acoustic signal is proposed.The bearing data and line spectrum features of the low frequency analysis recording(LOFAR)and the detection of envelope modulation on noise(DEMON)are used to build the track association feature vector,the correlation coefficient of feature element is weighted dynamically based on the numerical distribution,then the association level of multiple target tracks can be obtained by using grey association analysis.Simulation results show that comparing with the bearings-only track association algorithm,a considerable improvement in the performance of track association can be obtained with the proposed algorithm.
作者
王益乐
王海宁
WANG Yile;WANG Haining(The 28th Research Institute of China Electronics Technology Group Corporation,Nanjing 210007,China)
出处
《指挥信息系统与技术》
2019年第6期60-65,共6页
Command Information System and Technology
基金
装备预研电科联合基金(6141B08060203)资助项目
关键词
被动声呐
线谱特征
灰关联分析
航迹关联
passive sonar
line spectrum features
grey association analysis
track association
