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Integrated range-Doppler map and extended target identification with adaptive waveform for cognitive radar

机译:认知雷达的集成距离多普勒图和具有自适应波形的扩展目标识别

摘要

In this paper, we propose an integrated schemeto identify an extended moving target while trying to correctlylocate its peak range-Doppler cell. The scheme is extended tohandle multiple target responses. The cognitive radar platformuses adaptive waveform based on the eigenwaveform. Two realtimeadaptive waveforms called maximum a posteriori probabilityweighted eigenwaveform (MAP-PWE) and match-filtered PWE(MF-PWE) are combined with range-Doppler map (RDM) techniqueto execute target type identification for moving extendedtargets. Joint RDM cell localization and target identificationperformance comparison between a traditional pulsed widebandwaveform, MAP-PWE, and MF-PWE techniques are shown. Itis noted the MF-PWE performs better than the wideband andMAP-PWE.
机译:在本文中,我们提出了一种集成方案,可以在试图正确定位其峰值范围-多普勒单元时识别扩展的移动目标。该方案被扩展为处理多个目标响应。认知雷达平台使用基于特征波形的自适应波形。将两个实时自适应波形称为最大后验概率加权特征波形(MAP-PWE)和匹配滤波PWE(MF-PWE)与距离多普勒图(RDM)技术结合,以执行目标类型识别,以移动扩展目标。显示了传统的脉冲宽带波形,MAP-PWE和MF-PWE技术之间的联合RDM小区定位和目标识别性能比较。它指出,MF-PWE的性能优于宽带和MAP-PWE。

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  • 作者

    Romero Ric A.; Nieh Jo-Yen;

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  • 年度 2015
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