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Using DTMB-Based Passive Radar for Small Unmanned Aerial Vehicle Detection
Wireless Communications and Mobile Computing Pub Date : 2021-05-06 , DOI: 10.1155/2021/9987992
Huijie Zhu 1, 2 , Lijun Wang 1, 2 , Mingqian Liu 3
Affiliation  

There is inevitable polarization angle deviation between the target echo signal and the direct path signal of illuminator of opportunity (IO) in passive radar. In order to investigate the potential performance loss in target detection induced by the random deviation, small unmanned aerial vehicle (UAV) detection experiments with digital television terrestrial multimedia broadcasting- (DTMB-) based passive radar are conducted in this paper. Experimental results show that the polarization angles of the clutter signal and target echo signal are inconsistent. When the polarization diversity technology is used to suppress the clutter signal, the processing performance of the target echo signal may be reduced. On the premise that clutter is effectively suppressed by the processing algorithm, polarization synthesis can maximize the target echo signal processing gain. The effectiveness of the target localization algorithm combining time difference of arrival (TDOA) and direction of arrival (DOA) is also verified with polarization diversity reception in this paper.

中文翻译:

基于DTMB的无源雷达在小型无人机检测中的应用

在无源雷达中,目标回波信号与机会照明器(IO)的直接路径信号之间不可避免地存在偏振角偏差。为了研究随机偏差在目标检测中可能造成的性能损失,本文进行了基于数字电视地面多媒体广播(DTMB)的无源雷达的小型无人机(UAV)检测实验。实验结果表明,杂波信号与目标回波信号的偏振角不一致。当偏振分集技术用于抑制杂波信号时,目标回波信号的处理性能可能会降低。在处理算法有效抑制杂波的前提下,极化合成可以最大化目标回波信号的处理增益。本文还利用极化分集接收技术验证了结合到达时间差(TDOA)和到达方向(DOA)的目标定位算法的有效性。
更新日期:2021-05-06
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