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首页> 外文期刊>Journal of Sensors >Adaptive Resource Allocation Scheme for Micromotion Feature Extraction Based on Track-Before-Detect
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Adaptive Resource Allocation Scheme for Micromotion Feature Extraction Based on Track-Before-Detect

机译：基于检测前跟踪的微动特征提取自适应资源分配方案

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摘要

The micromotion feature extraction method based on track-before-detect (TBD) can save the radar resource and improve the real-time performance of micromotion feature extraction by implementing target detecting, tracking, and micromotion feature extraction simultaneously. Usually, multitargets will exist in different areas, and the limited radar resources should be allocated for different areas to achieve the maximal performance of radar. For single-beam phased array radar, an adaptive resource allocation optimization model is established according to the processing steps of the micromotion feature extraction method based on TBD, and an adaptive resource allocation strategy is proposed. With the method, the radar efficiency can be significantly improved. The effectiveness of the proposed method is demonstrated by simulations.
机译：基于先行跟踪（TBD）的微动特征提取方法可以同时实现目标检测，跟踪和微动特征提取，从而节省雷达资源，提高微动特征提取的实时性。通常，多目标将存在于不同的区域，并且应将有限的雷达资源分配给不同的区域，以实现雷达的最佳性能。针对单波束相控阵雷达，根据基于TBD的微运动特征提取方法的处理步骤，建立了自适应资源分配优化模型，提出了一种自适应资源分配策略。使用该方法，可以显着提高雷达效率。仿真结果证明了该方法的有效性。

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