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首页> 外文期刊>Arabian Journal for Science and Engineering >STAP-Based Approach for Target Tracking UsingWaveform Agile Sensing in the Presence of ECM
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STAP-Based Approach for Target Tracking UsingWaveform Agile Sensing in the Presence of ECM

机译：ECM存在下基于波形敏捷感知的基于STAP的目标跟踪方法

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摘要

This paper proposes a space-time adaptive processing (STAP)-based approach to enhance the performance of single target tracking in the presence of strong interference. Waveform agile sensing approach is used to improve the performance. The waveform library consists of linear frequency modulation waveforms with varying pulse repetition frequency and pulse width. Multidimensional filtering approach of STAP is applied, to mitigate the clutter and jamming effect. A waveform is selected based on Cramer–Rao lower bound (CRLB) from a bank of waveforms for next scan so as to minimize the mean square error. Stand-off jammer is considered as an electronic counter measure technique. Interacting multiple model probabilistic data association filter is engaged to track single targets. It is evident from the simulation results that proposed approach accomplishes an average position RMSE 62.79 and 56.01% higher compared to CRLB for maneuvering target and benchmark trajectory-2, respectively.
机译：本文提出了一种基于时空自适应处理（STAP）的方法，以在存在强烈干扰的情况下提高单个目标跟踪的性能。波形敏捷感测方法用于改善性能。波形库由具有可变脉冲重复频率和脉冲宽度的线性调频波形组成。采用STAP的多维滤波方法，以减轻混乱和干扰的影响。根据Cramer-Rao下限（CRLB）从一组波形中选择一个波形以进行下一次扫描，以最大程度地减小均方误差。隔离干扰器被认为是一种电子对抗技术。交互多模型概率数据关联过滤器用于跟踪单个目标。从仿真结果可以明显看出，与CRLB相比，该方法在操纵目标轨迹和基准轨迹2时的平均位置均方根误差（RMSE）分别高62.79％和56.01％。

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