Key Technology and Implementation Scheme Analysis of Air-borne Synthetic Aperture Ladar

Download: PDF (1818 KB) [HTML]( ) Export: BibTeX | EndNote (RIS) Supporting Info

Abstract The current status and the domestic research problems of air-borne Synthetic Aperture Ladar (SAL) are introduced and key technologies are analyzed. Based on a principle prototype, the system implementation scheme with a combination of SAR electronics technology and optical technology is given. The future practical system metrics and technological approaches are analyzed. Besides, application direction of Synthetic Aperture Ladar is clarified.

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Li Dao-jing
	Zhang Qing-juan
	Liu Bo
	Yang Hong
	Pan Jie

Key words： Ladar Synthetic aperture Imaging processing Coherent detection Phase correcting

Received: 2013-03-11; Published: 2013-05-21

Cite this article:

Li Dao-jing,Zhang Qing-juan,Liu Bo et al. Key Technology and Implementation Scheme Analysis of Air-borne Synthetic Aperture Ladar[J]. JOURNAL OF RADARS, 2013, 2(2): 143-151.

[1]	Zhao Junxiang, Liang Xingdong, Li Yanlei. Change Detection in SAR CCD Based on the Likelihood Change Statistics[J]. JOURNAL OF RADARS, 2017, 6(2): 186-194.
[2]	Ding Baiyuan, Wen Gongjian, Yu Liansheng, Ma Conghui. Matching of Attributed Scattering Center and Its Application to Synthetic Aperture Radar Automatic Target Recognition[J]. JOURNAL OF RADARS, 2017, 6(2): 157-166.
[3]	Zeng Lina, Zhou Deyun, Li Xiaoyang, Zhang Kun. Novel SAR Target Detection Algorithm Using Free Training[J]. JOURNAL OF RADARS, 2017, 6(2): 177-185.
[4]	Hu Dingsheng, Qiu Xiaolan, Lei Bin, Xu Feng. Analysis of Crosstalk Impact on the Cloude-decomposition-based Scattering Characteristic[J]. JOURNAL OF RADARS, 2017, 6(2): 221-228.
[5]	Xu Feng, Wang Haipeng, Jin Yaqiu. Deep Learning as Applied in SAR Target Recognition and Terrain Classification[J]. JOURNAL OF RADARS, 2017, 6(2): 136-148.
[6]	Wang Siyu, Gao Xin, Sun Hao, Zheng Xinwei, Sun Xian. An Aircraft Detection Method Based on Convolutional Neural Networks in High-Resolution SAR Images[J]. JOURNAL OF RADARS, 2017, 6(2): 195-203.
[7]	Hu Jingqiu, Liu Falin, Zhou Chongbin, Li Bo, Wang Dongjin. CS-SAR Imaging Method Based on Inverse Omega-K Algorithm(in English)[J]. JOURNAL OF RADARS, 2017, 6(1): 25-33.
[8]	Zhang Keshu, Pan Jie, Wang Ran, Li Guangzuo, Wang Ning, Wu Yirong. Study of Wide Swath Synthetic Aperture Ladar Imaging Techology[J]. JOURNAL OF RADARS, 2017, 6(1): 1-10.
[9]	Zhou Yejian, Zhang Lei, Wang Hongxian, Xing Mengdao. Performance Analysis on ISAR Imaging of Space Targets[J]. JOURNAL OF RADARS, 2017, 6(1): 17-24.
[10]	Gu Wenkun, Wang Dangwei, Ma Xiaoyan. Distributed MIMO-ISAR Sub-image Fusion Method[J]. JOURNAL OF RADARS, 2017, 6(1): 90-97.
[11]	Zhang Jingjing, Hong Wen, Yin Qiang. Robust Distributed-target-based Calibration Method for Polarimetric SAR Using Spherically Truncated Covariance Matrix[J]. JOURNAL OF RADARS, 2016, 5(6): 701-710.
[12]	Sun Xun, Huang Pingping, Tu Shangtan, Yang Xiangli. Polarimetric SAR Image Classification Using Multiple-feature Fusion and Ensemble Learning[J]. JOURNAL OF RADARS, 2016, 5(6): 692-700.
[13]	Hong Wen. Hybrid-polarity Architecture Based Polarimetric SAR: Principles and Applications (in Chinese and in English)[J]. JOURNAL OF RADARS, 2016, 5(6): 559-595.
[14]	Zhao Tuan, Deng Yunkai, Wang Yu, Li Ning, Wang Xiangyu. Processing Sliding Mosaic Mode Data with Modified Full-Aperture Imaging Algorithm Integrating Scalloping Correction[J]. JOURNAL OF RADARS, 2016, 5(5): 548-557.
[15]	Chen Wenfeng, Li Shaodong, Yang Jun, Ma Xiaoyan. Multiple Measurement Vectors ISAR Imaging Algorithm Based on a Class of Linearized Bregman Iteration[J]. JOURNAL OF RADARS, 2016, 5(4): 389-401.