Multi-target Interference Localization Using Single Satellite Multi-beam Antenna Based on Compressive Sensing

Yi ZHANG; Shenghua ZHAI; Haihong TAO

doi:10.11999/JEIT200307

Volume 43 Issue 7

Jul. 2021

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Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(7): 1872-1878

Yi ZHANG, Shenghua ZHAI, Haihong TAO. Multi-target Interference Localization Using Single Satellite Multi-beam Antenna Based on Compressive Sensing[J]. Journal of Electronics & Information Technology, 2021, 43(7): 1872-1878. doi: 10.11999/JEIT200307

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Yi ZHANG, Shenghua ZHAI, Haihong TAO. Multi-target Interference Localization Using Single Satellite Multi-beam Antenna Based on Compressive Sensing[J]. Journal of Electronics & Information Technology, 2021, 43(7): 1872-1878. doi: 10.11999/JEIT200307

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Multi-target Interference Localization Using Single Satellite Multi-beam Antenna Based on Compressive Sensing

doi: 10.11999/JEIT200307

1.
China Academy of Space Technology (Xi’an), Xi’an 710100, China
2.
National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

Funds: The National Natural Science Foundation of China (61771015)

Received Date: 2020-04-24
Rev Recd Date: 2020-12-04

Available Online: 2020-12-19

Publish Date: 2021-07-10

Abstract

Abstract

To cope with the issue of locating multi-target in mitigating satellite interference, a localization method is proposed based on Compressive Sensing (CS). The sources of satellite interference can be identified by using Received Signal Strength (RSS) measurement only, relying on the spatial sparsity of the target source and the fact that multi-beam antenna has different gain at the position of interference. The conclusions show that positioning performance is related to node distribution, target number, coverage radius and decision threshold. Furthermore, over the Primal-Dual Interior Point (PDIP) algorithm, the simulation result represents that the target number is four under certain conditions, and the position accuracy is closed to 7.7 km with SNR of 20 dB. In addition, the study result also confirms that the proposed algorithm is better than the classic methods of Rotating Interferometer (RI) and Direction Of Arrival (DOA) estimation
- Compressive Sensing (CS),
- Single satellite localization,
- Multi-target,
- Multi-beam antenna,
- Received Signal Strength (RSS)

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References(16)

References

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