Radar One-Dimensional Range Profile Recognition Based on PSO-KPCA-LVQ Neural Network

GUO Xiaokang; JIAN Tao; DONG Yunlong

doi:10.3969/j.issn.1671-637x.2019.06.005

Journals >Electronics Optics & Control >Volume 26 >Issue 6 >Page 22 > Article

Electronics Optics & Control
Vol. 26, Issue 6, 22 (2019)

Radar One-Dimensional Range Profile Recognition Based on PSO-KPCA-LVQ Neural Network

GUO Xiaokang, JIAN Tao, and DONG Yunlong

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[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2019.06.005 Cite this Article

GUO Xiaokang, JIAN Tao, DONG Yunlong. Radar One-Dimensional Range Profile Recognition Based on PSO-KPCA-LVQ Neural Network[J]. Electronics Optics & Control, 2019, 26(6): 22 Copy Citation Text

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References

[6] KOHONEN T. Self-organization and associative memory［M］. 3rd ed. Berlin: Springer, 1989.

[8] MUNLIN M, ANANTATHANAVIT M.Hybrid radius particle swarm optimization［C］//Region 10 Conference, IEEE, 2017: 1-5.

[10] DU L, LIU H, BAO Z, et al. Radar automatic target re-cognition using complex high-resolution range profiles［J］. LET Radar, Sonar & Navigation, 2007, 1(1):18-26.

CLP Journals

[1] FU Ming, ZHENG Lin, YANG Chao, HUANG Fengqing, DENG Xiaofang, LIU Zhenghong. Slow-Moving Target Detection at Short Range Using Deep Convolutional Auto-Encoder[J]. Electronics Optics & Control, 2021, 28(3): 1

GUO Xiaokang, JIAN Tao, DONG Yunlong. Radar One-Dimensional Range Profile Recognition Based on PSO-KPCA-LVQ Neural Network[J]. Electronics Optics & Control, 2019, 26(6): 22

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