电子侦察系统自适应跟踪数据率算法
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摘要
数据率是电子侦察系统跟踪任务管理中的一个重要参数,数据率的大小决定着跟踪精度的高低,同时也影响着系统资源消耗量,为平衡跟踪精度和资源消耗的矛盾,需要一种自适应数据率算法。因为在时域上辐射源照射侦收天线的非连续性,当前主动雷达的自适应数据率算法不适用于电子侦察系统。针对以上问题引入辐射源天线扫描周期作为约束条件,改进预测协方差门限算法应用于电子侦察系统。在改进的算法中,将辐射源天线扫描周期的整数倍作为采样间隔,通过纯角度跟踪算法得到预测协方差,当预测协方差大于设定的门限时即采样。仿真结果表明,该方法可根据设定的跟踪精度,自适应采样周期,节省系统资源。
The data rate is an important parameter in the tracking management of the electronic reconnaissance system.The size of the data rate determines the tracking accuracy,and also affects the system resource consumption.In order to balance the tracking accuracy and resource consumption,an adaptive data rate algorithm is needed.However,the current adaptive data rate algorithm of the active radar is not suitable for the electronic reconnaissance system because of the discontinuity of the radiation source in the time domain.In order to address these issues,the radiation source antenna scanning period as a constraint is introduced,and predictive covariance threshold algorithm is improved to be applied to electronic reconnaissance system.In the improved algorithm,the integer multiple of the scanning period of the radiation source antenna is used as the sampling interval,and the prediction covariance is obtained by the bearingonly tracking algorithm.When the prediction covariance is greater than the set threshold,the sampling is performed.The simulation results show that the method can adaptively get the sampling period according to the set tracking accuracy,save system resources.
The data rate is an important parameter in the tracking management of the electronic reconnaissance system.The size of the data rate determines the tracking accuracy,and also affects the system resource consumption.In order to balance the tracking accuracy and resource consumption,an adaptive data rate algorithm is needed.However,the current adaptive data rate algorithm of the active radar is not suitable for the electronic reconnaissance system because of the discontinuity of the radiation source in the time domain.In order to address these issues,the radiation source antenna scanning period as a constraint is introduced,and predictive covariance threshold algorithm is improved to be applied to electronic reconnaissance system.In the improved algorithm,the integer multiple of the scanning period of the radiation source antenna is used as the sampling interval,and the prediction covariance is obtained by the bearingonly tracking algorithm.When the prediction covariance is greater than the set threshold,the sampling is performed.The simulation results show that the method can adaptively get the sampling period according to the set tracking accuracy,save system resources.
引文
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[12]王峰,张洪才,潘泉.相控阵雷达采样周期自适应策略研究[J].系统仿真学报,2003,15(9):1230-1233.
[13]贾颖焘.雷达信号分选和天线扫描周期估计算法的研究与实现[D].长沙:国防科学技术大学,2015.
[14]田俊林,付承毓,唐涛.仅有角度观测信息情况下目标机动自适应跟踪算法研究[J].光电工程,2011,38(10):57-65.
[15]魏高乐,蒋宏,任章.修正极坐标系纯方位跟踪算法分析与改进[J].弹箭与制导学报,2009,29(3):51-54.
[2]胡满玲.机载电子侦察设备测向性能评估[J].电子测量技术,2010,33(8):25-27.
[3]任波,闫向远.纯角度跟踪非线性预测滤波算法研究[J].弹箭与制导学报,2014,34(2):6-8.
[4]FARDAD M,GHORASHI S A,SHAHBAZIAN R.A novel maximum likelihood based estimator for bearing-only target localization[C].Electrical Engineering,IEEE,2015:1522-1527.
[5]杨威.基于非合作雷达目标跟踪技术的研究[D].成都:电子科技大学,2017.
[6]卢建斌,胡卫东,郁文贤.基于协方差控制的相控阵雷达资源管理算法[J].电子学报,2007,35(3):402-408.
[7]李明地,左燕,赵猛,等.改进预测协方差门限法的采样周期自适应选择算法[J].火力与指挥控制,2017(5):19-22.
[8]朱志勇.相控阵雷达多目标跟踪下的资源优化与资源管理方法研究[D].西安:西安电子科技大学,2014.
[9]贞凯,汪飞,周建江,等.多目标跟踪中自适应时间资源调度[J].航空学报,2011,32(3):522-530.
[10]康志勇,李仙茂,张范军.雷达天线扫描周期精确测量技术研究[J].航天电子对抗,2015,31(1):62-64.
[11]姚菲.基于自适应数据率控制的相控阵雷达实时任务调度技术研究[D].西安:西安电子科技大学,2015.
[12]王峰,张洪才,潘泉.相控阵雷达采样周期自适应策略研究[J].系统仿真学报,2003,15(9):1230-1233.
[13]贾颖焘.雷达信号分选和天线扫描周期估计算法的研究与实现[D].长沙:国防科学技术大学,2015.
[14]田俊林,付承毓,唐涛.仅有角度观测信息情况下目标机动自适应跟踪算法研究[J].光电工程,2011,38(10):57-65.
[15]魏高乐,蒋宏,任章.修正极坐标系纯方位跟踪算法分析与改进[J].弹箭与制导学报,2009,29(3):51-54.