Proximity Feature Based Target Detection for Airborne Radar with Misaligned Antenna Array
Proximity Feature Based Target Detection for Airborne Radar with Misaligned Antenna Array
复制标题
基于邻近特征的机载雷达非对准天线阵列目标检测
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
H. Deng
中科院分区：
文献类型：
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作者：
Rafiya R Ahmed;H. Deng
本文提出了一种新的机载雷达非对准目标检测方法。利用角度-多普勒域的最小方差方法从雷达回波数据中提取非线性杂波脊线的邻近特征。随后，应用该特征来区分目标和杂波。该方法从速度失调引起的椭圆形杂波中识别和检测目标。仿真结果证明了该方法的有效性。
In this work, a novel target detection method is introduced for airborne radar with misaligned antenna array. The proximity feature of non-linear clutter ridge is extracted from the radar echo data via minimum variance (MV) method in the angle-Doppler domain. Subsequently, the feature is applied to distinguish target from the clutter. The proposed technique recognizes and detects target from ellipse shaped clutter due to velocity misalignment. The effectiveness of this approach has been proven with the simulation results.