JOURNAL OF RADARS
 Home | About Journal | Ethics Statement | Editorial Board | Reviewers | Instruction | Subscriptions | Contacts Us | Chinese
JOURNAL OF RADARS  2016, Vol. 5 Issue (2): 119-131    DOI: 10.12000/JR16039
Reviews Current Issue | Next Issue | Archive | Adv Search |
Status and Prospects of Radar Polarimetry Techniques
Wang Xuesong
(National University of Defense Technology, Changsha 410073, China)
 Download: PDF (18686 KB)   [HTML]( )   Export: BibTeX | EndNote (RIS)      Supporting Info
Abstract 

Radar polarimetry is an applied fundamental science field that is focused on understanding interaction processes between radar waves and targets and disclosing their mechanisms. Radar polarimetry has significant application prospects in the fields of microwave remote sensing, earth observation, meteorological measurement, battlefield reconnaissance, anti-interference, target recognition, and so on. This study briefly reviews the development history of radar polarization theory and technology. Next, the state of the art of several key technologies within radar polarimetry, including the precise acquisition of radar polarization information, polarization-sensitive array signal processing, target polarization characteristics, polarization antiinterference, and target polarization classification and recognition, is summarized. Finally, the future developments of radar polarization technology are considered.

Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Key wordsPolarimetric radar   Radar imaging   Polarization precise measurement   Polarimetric calibration   Polarimetric filter   Target recognition   Anti-interference     
Received: 2016-02-16; Published: 2016-04-25
Fund:

The National Natural Science Foundation of China (61490690, 61490693, 61302143)

Cite this article:   
. Status and Prospects of Radar Polarimetry Techniques[J]. JOURNAL OF RADARS, 2016, 5(2): 119-131.
 
No references of article
[1] Xie Wenchong, Duan Keqing, Wang Yongliang. Space Time Adaptive Processing Technique for Airborne Radar: An Overview of Its Development and Prospects[J]. JOURNAL OF RADARS, 2017, 6(6): 575-586.
[2] Zhang Xinzheng, Tan Zhiying, Wang Yijian. SAR Target Recognition Based on Multi-feature Multiple Representation Classifier Fusion[J]. JOURNAL OF RADARS, 2017, 6(5): 492-502.
[3] Wen Gongjian, Zhu Guoqiang, Yin Hongcheng, Xing Mengdao, Yang Hu, Ma Conghui, Yan Hua, Ding Baiyuan, Zhong Jinrong. SAR ATR Based on 3D Parametric Electromagnetic Scattering Model[J]. JOURNAL OF RADARS, 2017, 6(2): 115-135.
[4] 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.
[5] Kang Miao, Ji Kefeng, Leng Xiangguang, Xing Xiangwei, Zou Huanxin. SAR Target Recognition with Feature Fusion Based on Stacked Autoencoder[J]. JOURNAL OF RADARS, 2017, 6(2): 167-176.
[6] Zhao Feixiang, Liu Yongxiang, Huo Kai. Radar Target Recognition Based on Stacked Denoising Sparse Autoencoder[J]. JOURNAL OF RADARS, 2017, 6(2): 149-156.
[7] 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.
[8] Zhao Chunlei, Wang Yaliang, Yang Yunlong, Mao Xingpeng, Yu Changjun. Review of Radar Polarization Information Acquisition and Polarimetric Signal Processing Techniques[J]. JOURNAL OF RADARS, 2016, 5(6): 620-638.
[9] Tian Zhuangzhuang, Zhan Ronghui, Hu Jiemin, Zhang Jun. SAR ATR Based on Convolutional Neural Network[J]. JOURNAL OF RADARS, 2016, 5(3): 320-325.
[10] Dai Da-hai, Liao Bin, Xiao Shun-ping, Wang Xue-song. Advancements on Radar Polarization Information Acquisition and Processing[J]. JOURNAL OF RADARS, 2016, 5(2): 143-155.
[11] Dai Huanyao, Liu Yong, Huang Zhenyu, Zhang Yang. Detection and Identification of Multipath Jamming Method for Polarized Radar Seeker[J]. JOURNAL OF RADARS, 2016, 5(2): 156-163.
[12] Ren Bo, Shi Longfei, Wang Guoyu. Polarimetric Analysis of the Interference from Base Stations to UHF-band Radar[J]. JOURNAL OF RADARS, 2016, 5(2): 164-173.
[13] Lu Dongwei, Que Xiaofeng, Qi Xin, Nie Zaiping. Simulation and Analysis of the Fully Polarimetric Scattering Characteristics of Aircraft in UHF Band[J]. JOURNAL OF RADARS, 2016, 5(2): 182-189.
[14] Xiang Yin, Zhang Kai, Hu Cheng. A NUFFT Based Step-frequency Chirp Signal High Resolution Imaging Algorithm and Target Recognition Algorithm[J]. JOURNAL OF RADARS, 2015, 4(6): 639-647.
[15] Zhou Yu, Wang Hai-peng, Chen Si-zhe. SAR Automatic Target Recognition Based on Numerical Scattering Simulation and Model-based Matching[J]. JOURNAL OF RADARS, 2015, 4(6): 666-673.
 

Copyright © 2011 JOURNAL OF RADARS
Support by Beijing Magtech Co.Ltd   E-mail:support@magtech.com.cn