TY - GEN
T1 - Sparse linear array three-dimensional imaging approach based on compressed sensing
AU - Tan, Xin
AU - Fang, Yang
AU - Feng, Xiaoyi
AU - Cheng, Wei
AU - Wang, Baoping
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/27
Y1 - 2017/3/27
N2 - With regard to the problems of traditional sparse array antenna imaging approach, since azimuth sampling insufficient of echo signal, it will cause poor resolution such as low resolution, serious main lobe expansion and side lobe jamming, 3D imaging approach of sparse array antenna based on compressed sensing is proposed. Based on Linear array antenna mode, sparse banded observer is designed, and then down-sampling is realized. CoSAMP algorithm is adopted to realize high-resolution image reconstruction. Testing platform is set up in microwave anechoic chamber. Target echo data are obtained through planar array antenna scanning, and then 3D imaging is conducted for targets, which verifies the validity of algorithm. The results show that, in sparse array, the proposed imaging approach has higher imaging resolution.
AB - With regard to the problems of traditional sparse array antenna imaging approach, since azimuth sampling insufficient of echo signal, it will cause poor resolution such as low resolution, serious main lobe expansion and side lobe jamming, 3D imaging approach of sparse array antenna based on compressed sensing is proposed. Based on Linear array antenna mode, sparse banded observer is designed, and then down-sampling is realized. CoSAMP algorithm is adopted to realize high-resolution image reconstruction. Testing platform is set up in microwave anechoic chamber. Target echo data are obtained through planar array antenna scanning, and then 3D imaging is conducted for targets, which verifies the validity of algorithm. The results show that, in sparse array, the proposed imaging approach has higher imaging resolution.
KW - Compressed sensing
KW - Sparse array
KW - Sparse banded observation
UR - http://www.scopus.com/inward/record.url?scp=85018697052&partnerID=8YFLogxK
U2 - 10.1109/SIPROCESS.2016.7888271
DO - 10.1109/SIPROCESS.2016.7888271
M3 - 会议稿件
AN - SCOPUS:85018697052
T3 - 2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016
SP - 296
EP - 299
BT - 2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Signal and Image Processing, ICSIP 2016
Y2 - 13 August 2016 through 15 August 2016
ER -