Abstract
For radar imaging of multiple targets, it is necessary for the radar network to allocate the imaging task to different radars to achieve high image quantity under limited radar resource. In this paper, based on the Bi-ISAR imaging algorithm, a task allocation optimization method is proposed for multi-target inverse synthetic aperture radar (ISAR) imaging in radar network consisting of different bi-static radar. Simulation results indicate that the proposed method can effectively accomplish the multi-target imaging task allocation using the minimum time resource.
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References
Chen Y-J, Zhang Q, Luo Y, Chen Y-A (2016) measurement matrix optimization for ISAR sparse imaging based on genetic algorithm. IEEE Geosci Remote Sens Lett 13(12):1875–1879
Chen VC, Rosiers AD, Lipps R (2009) Bi-static ISAR range-doppler imaging and resolution analysis. In: Proceedings of the IEEE radar conference, pp 1–5
Huang J-F, Chang G-Y, Huang J-X (2017) Anti-jamming rendezvous scheme for cognitive radio networks. IEEE Trans Mobile Comput 16(3):648–661
Liu XW, Zhang Q, Chen YC, Su LH, Chen YJ (2018) Task allocation optimization for multi-target ISAR imaging in radar network. IEEE Sens J 18(1):2018
Chen Y, Zhang Q, Yuan N, Luo Y, Lou H (2015) an adaptive ISAR-imaging-considered task scheduling algorithm for multi-function phased array radars. IEEE Trans Signal Process 63(19):5096–5110
Martorella M, Palmer J, Littleton B, Longstaff ID (2007) On bistatic inverse synthetic aperture. IEEE Trans Aerosp Electron Syst 43(3):1125–1134
Martorella M (2011) Analysis of the robustness of bistatic inverse synthetic aperture radar in the presence of phase synchronization errors. IEEE Trans Aerosp Electron Syst 47(4):2673–2689
Bai XR, Zhou F, Xing MD, Bao Z (2010) Scaling the 3-D image of spinning space debris via bistatic inverse aperture radar. IEEE Geosci Remote Sens Lett 7(3):430–434
Yan J, Liu H, Pu W, Liu H, Liu Z, Bao Z (2017) Joint threshold adjustment and power allocation for cognitive target tracking in asynchronous radar network. IEEE Trans Signal Process 65(12):3094–3106
Panoui A, Lambotharan S, Chambers JA (2016) Game theoretic distributed waveform design for multistatic radar networks. IEEE Trans Aerosp Electron Syst 52(4):1855–1865
Sun MC, Zhang Q, Chen GL (2018) Dynamic time window adaptive scheduling algorithm for the phased array radar. J Radars 7(3):303–312
Acknowledgements
This research is funded by the National Natural Science Foundation of China under Grant 61631019, 61703412 and the China Postdoctoral Science Foundation under Grant 2016M602996.
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Wang, D., Liang, J., Zhang, Q., Zhu, F. (2020). Task Allocation for Multi-target ISAR Imaging in Bi-Static Radar Network. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_199
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DOI: https://doi.org/10.1007/978-981-13-9409-6_199
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