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Using Heterogeneous Satellites for Passive Detection of Moving Aerial Target
Remote Sensing ( IF 5 ) Pub Date : 2020-04-03 , DOI: 10.3390/rs12071150
Mingqian Liu , Kunming Li , Hao Song , Yunfei Chen , Xiuhui Gao , Fengkui Gong

Passive detection of a moving aerial target is critical for intelligent surveillance. Its implementation can use signals transmitted from satellites. Nowadays, various types of satellites co-exist which can be used for passive detection. As a result, a satellite signal receiver may receive signals from multiple heterogeneous satellites, causing difficult in echo signal detection. In this paper, a passive moving aerial target detection method leveraging signals from multiple heterogeneous satellites is proposed. In the proposed method, a plurality of direct wave signals is separated in a reference channel first. Then, an adaptive filter with normalized least-mean-square (NLMS) is adopted to suppress direct-path interference (DPI) and multi-path interference (MPI) in a surveillance channel. Next, the maximum values of the cross ambiguity function (CAF) and the fourth order cyclic cumulants cross ambiguity function (FOCCCAF) correspond into each separated direct wave signal and echo signal will be utilized as the detection statistic of each distributed sensor. Finally, final detection probabilities are calculated by decision fusion based on results from distributed sensors. To evaluate the performance of the proposed method, extensive simulation studies are conducted. The corresponding simulation results show that the proposed fusion detection method can significantly improve the reliability of moving aerial target detection using multiple heterogeneous satellites. Moveover, we also show that the proposed detection method is able to significantly improve the detection performance by using multiple collaborative heterogeneous satellites.

中文翻译:

使用异构卫星对移动的空中目标进行被动检测

被动检测移动中的空中目标对于智能监视至关重要。它的实现可以使用从卫星发送的信号。如今,各种类型的卫星共存,可用于被动检测。结果,卫星信号接收器可能从多个异类卫星接收信号,从而导致回波信号检测困难。本文提出了一种利用多颗异质卫星信号的被动移动空中目标检测方法。在所提出的方法中,首先在参考信道中分离多个直接波信号。然后,采用具有标准化最小均方(NLMS)的自适应滤波器来抑制监视信道中的直接路径干扰(DPI)和多路径干扰(MPI)。下一个,交叉歧义函数(CAF)和四阶循环累积量交叉歧义函数(FOCCCAF)的最大值对应于每个分离的直接波信号,并且回波信号将用作每个分布式传感器的检测统计量。最后,基于分布式传感器的结果,通过决策融合计算最终检测概率。为了评估所提出方法的性能,进行了广泛的仿真研究。相应的仿真结果表明,所提出的融合检测方法可以显着提高使用多颗异构卫星进行的移动空中目标检测的可靠性。此外,我们还表明,所提出的检测方法能够通过使用多个协作异构卫星来显着提高检测性能。
更新日期:2020-04-03
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