首页> 外文会议>8th European conference on synthetic aperture radar (EUSAR 2010) >A Generalized Inner Product Based Algorithm for Improved Detection and Discrimination of Over Resolved Targets in MIMO Radar
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A Generalized Inner Product Based Algorithm for Improved Detection and Discrimination of Over Resolved Targets in MIMO Radar

机译:基于通用内积算法的MIMO雷达超分辨目标的改进检测与识别

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摘要

A technique is proposed to achieve significantly better detection and discrimination for stationary or slowmovingrnrange-Doppler over-resolved targets on or in close proximity to the ground (or sea surface). This techniquernis based upon a generalized inner product (GIP) approach to data analysis. This robust detector/rndiscriminator separates radar returns from interference including ground clutter via a coherent process for separatingrntarget returns from the myriad of received signals. This GIP-based processing can be applied to singlereceiverrnchannel systems, multiple spatial channel systems, multiple polarization channel systems, systems withrnmultiple spatial and polarization channels and MIMO distributed aperture radar.
机译:提出了一种技术,用于对地面(或海面)或其附近的静止或缓慢移动的多普勒超分辨目标实现更好的检测和识别。该技术基于通用内积(GIP)方法进行数据分析。这种强大的检测器/鉴别器通过相干过程将雷达回波与干扰(包括地物杂波)分离开,用于将目标回波与无数接收信号分开。这种基于GIP的处理可以应用于单接收机信道系统,多空间信道系统,多极化信道系统,具有多个空间和极化信道的系统以及MIMO分布式孔径雷达。

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