外辐射源无源定位目标航迹批处理算法
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摘要
针对外辐射源无源定位问题,提出一种多目标定位和航迹处理并行执行的批处理算法。首先根据几何原理对外辐射源测量进行单帧定位;然后利用定位值进行多个定位目标的航迹起始;之后利用改进的多假设算法(AMHT)进行测量点迹与航迹的数据关联;最后利用推导的关于到达角和距离差的扩展卡尔曼滤波(DT-EKF)对航迹进行维持。为了验证所提算法的功能和性能,给出了仿真示例,仿真结果表明,提出的批处理算法能同时实现多目标状态定位和航迹处理的功能,获得比传统算法更高的定位性能。
To solve the problem of passive locating of external emitter,a batched processing algorithm is proposed for the parallel execution of multi-target locating and trajectory processing based on Direction of Arrival( DOA) and Time Difference of Arrival( TDOA). First,initial locating states of the external emitter are evaluated according to the geometry theory. Then,the trajectories are initialized according to the valid locating value. After that,the Advanced Multiple Hypotheses Tracking( AMHT) algorithm is designed for the data association between measurement trace points and trajectories of targets. The Extended Kalman filter is deduced along with the measurements from DOA and TDOA( DT-EKF),which is used for maintaining the trajectory.Simulation results show that the proposed algorithm can perform simultaneously locating and trajectory processing for multiple targets,and acquire higher locating performance than that of the traditional methods.
To solve the problem of passive locating of external emitter,a batched processing algorithm is proposed for the parallel execution of multi-target locating and trajectory processing based on Direction of Arrival( DOA) and Time Difference of Arrival( TDOA). First,initial locating states of the external emitter are evaluated according to the geometry theory. Then,the trajectories are initialized according to the valid locating value. After that,the Advanced Multiple Hypotheses Tracking( AMHT) algorithm is designed for the data association between measurement trace points and trajectories of targets. The Extended Kalman filter is deduced along with the measurements from DOA and TDOA( DT-EKF),which is used for maintaining the trajectory.Simulation results show that the proposed algorithm can perform simultaneously locating and trajectory processing for multiple targets,and acquire higher locating performance than that of the traditional methods.
引文
[1]ZHONG Y,WU X Y,HUANG C S.Geometric dilution of precision for bearing-only passive location in three-dimensional space[J].Electronics Letters,2015,51(6):518-519.
[2]刘爱东,杜亚杰.基于TDOA的舰载机空间定位算法研究[J].电光与控制,2016,23(9):59-62.
[3]WU P L,LI X X,ZHANG L Z,et al.Passive location using TDOA measurements from compass satellite illuminators[J].Asian Journal of Control,2015,17(2):722-728.
[4]李晶,李冬海,赵拥军.利用角度和时差的单站外辐射源定位方法[J].武汉大学学报:信息科学版,2015,40(2):227-232.
[5]GABER A,OMAR A.A study of wireless indoor positioning based on joint TDOA and DOA estimation using 2-D matrix pencil algorithms and IEEE 802.11ac[J].IEEE Transactions on Wireless Communications,2015,14(5):2440-2454.
[6]WANG H,WANG J,ZHONG L,et al.Mismatched filter for analogue TV-based passive bistatic radar[J].IET Radar,Sonar&Navigation,2011,5(5):573-581.
[7]孙鹏,熊伟.测向交叉定位系统中的K-means聚类融合算法[J].电光与控制,2016,23(10):36-40.
[8]张杰,蒋建中,郭军利.基于两步最小二乘定位的偏差改进算法[J].航空学报,2016,37(2):695-705.
[9]关欣,陶李,衣晓.滑窗式无偏多平台无源定位算法[J].系统工程与电子技术,2016,38(9):1981-1986.
[10]莫成坤,陈树新,吴昊,等.基于抗差估计的三维测向无源定位算法[J].电光与控制,2015,22(2):22-26.
[11]宗军君,崔逊学.多站测向交叉定位的加权最大似然估计算法及其精度分析[J].电光与控制,2015,22(11):11-13.
[12]WERTHMANN J.A step-by-step description of a computational efficient version of multiple hypothesis tracking[C]//SPIE Conference on Signal and Data Processing of Small Targets,1992:288-300.
[13]BLACKMAN S,POPOLI R.Design and analysis of modern tracking systems[M].London:Artech House Publishers,1999.
[2]刘爱东,杜亚杰.基于TDOA的舰载机空间定位算法研究[J].电光与控制,2016,23(9):59-62.
[3]WU P L,LI X X,ZHANG L Z,et al.Passive location using TDOA measurements from compass satellite illuminators[J].Asian Journal of Control,2015,17(2):722-728.
[4]李晶,李冬海,赵拥军.利用角度和时差的单站外辐射源定位方法[J].武汉大学学报:信息科学版,2015,40(2):227-232.
[5]GABER A,OMAR A.A study of wireless indoor positioning based on joint TDOA and DOA estimation using 2-D matrix pencil algorithms and IEEE 802.11ac[J].IEEE Transactions on Wireless Communications,2015,14(5):2440-2454.
[6]WANG H,WANG J,ZHONG L,et al.Mismatched filter for analogue TV-based passive bistatic radar[J].IET Radar,Sonar&Navigation,2011,5(5):573-581.
[7]孙鹏,熊伟.测向交叉定位系统中的K-means聚类融合算法[J].电光与控制,2016,23(10):36-40.
[8]张杰,蒋建中,郭军利.基于两步最小二乘定位的偏差改进算法[J].航空学报,2016,37(2):695-705.
[9]关欣,陶李,衣晓.滑窗式无偏多平台无源定位算法[J].系统工程与电子技术,2016,38(9):1981-1986.
[10]莫成坤,陈树新,吴昊,等.基于抗差估计的三维测向无源定位算法[J].电光与控制,2015,22(2):22-26.
[11]宗军君,崔逊学.多站测向交叉定位的加权最大似然估计算法及其精度分析[J].电光与控制,2015,22(11):11-13.
[12]WERTHMANN J.A step-by-step description of a computational efficient version of multiple hypothesis tracking[C]//SPIE Conference on Signal and Data Processing of Small Targets,1992:288-300.
[13]BLACKMAN S,POPOLI R.Design and analysis of modern tracking systems[M].London:Artech House Publishers,1999.