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Using heterogeneous satellites for passive detection of moving aerial target
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Liu, Mingqian, Li, Kunming, Song, Hao, Chen, Yunfei, Gao, Xiuhui and Gong, Fengkui (2020) Using heterogeneous satellites for passive detection of moving aerial target. Remote Sensing, 12 (7). e1150. doi:10.3390/rs12071150 ISSN 2072-4292.
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Official URL: https://doi.org/10.3390/rs12071150
Abstract
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.
| Item Type: | Journal Article | ||||||
|---|---|---|---|---|---|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | ||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
| SWORD Depositor: | Library Publications Router | ||||||
| Library of Congress Subject Headings (LCSH): | Artificial satellites in telecommunication, Signal processing, Sensor networks | ||||||
| Journal or Publication Title: | Remote Sensing | ||||||
| Publisher: | MDPI | ||||||
| ISSN: | 2072-4292 | ||||||
| Official Date: | 3 April 2020 | ||||||
| Dates: |
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| Volume: | 12 | ||||||
| Number: | 7 | ||||||
| Article Number: | e1150 | ||||||
| DOI: | 10.3390/rs12071150 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||
| Date of first compliant deposit: | 8 April 2020 | ||||||
| Date of first compliant Open Access: | 9 April 2020 | ||||||
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