TY - GEN
T1 - Near range radar imaging by SFCW linear sparse array based on block sparsity
AU - Feng, Weike
AU - Yi, Li
AU - Sato, Motoyuki
N1 - Funding Information:
This work was supported by Scientific Research (A) 26249058.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - A novel compressive sensing (CS) based imaging method for SFCW radar near range targets is proposed. Different from existing CS based methods, the azimuth-dependency of the target reflection coefficient is considered. Based on the block sparsity property of the received signal in the proposed sparsifying dictionary, the 2D image of targets can be obtained at each spatial sampling point. Cross-correlation method is then employed to fuse these 2D images to get the final result. Compared to the classical back projection (BP) method, the proposed method can obtain higher resolution with fewer artifacts via fewer frequencies. Compared to the conventional CS based method, artifacts can be significantly reduced. Experiment results of a SFCW linear sparse array radar system demonstrate that, with only 1/8 data, the proposed method can achieve accurate high-resolution 2D image of targets in the near range. In 30dB dynamic range, no artifact was produced on the imaging result.
AB - A novel compressive sensing (CS) based imaging method for SFCW radar near range targets is proposed. Different from existing CS based methods, the azimuth-dependency of the target reflection coefficient is considered. Based on the block sparsity property of the received signal in the proposed sparsifying dictionary, the 2D image of targets can be obtained at each spatial sampling point. Cross-correlation method is then employed to fuse these 2D images to get the final result. Compared to the classical back projection (BP) method, the proposed method can obtain higher resolution with fewer artifacts via fewer frequencies. Compared to the conventional CS based method, artifacts can be significantly reduced. Experiment results of a SFCW linear sparse array radar system demonstrate that, with only 1/8 data, the proposed method can achieve accurate high-resolution 2D image of targets in the near range. In 30dB dynamic range, no artifact was produced on the imaging result.
KW - Block sparsity
KW - Compressive sensing (CS)
KW - Cross-correlation
KW - Gb-SAR
KW - Stepped-frequency continuous waveform (SFCW)
UR - http://www.scopus.com/inward/record.url?scp=85041853517&partnerID=8YFLogxK
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U2 - 10.1109/IGARSS.2017.8128215
DO - 10.1109/IGARSS.2017.8128215
M3 - Conference contribution
AN - SCOPUS:85041853517
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 5362
EP - 5365
BT - 2017 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Y2 - 23 July 2017 through 28 July 2017
ER -