电子侦察系统自适应跟踪数据率算法
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TN971

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Adaptive tracking data rate algorithm for electronic reconnaissance system
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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。

    Abstract:

    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 bearing-only 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.

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胡进,孙泽林.电子侦察系统自适应跟踪数据率算法[J].电子测量技术,2019,42(9):6-9

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  • 在线发布日期: 2021-08-23
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