Journal of Infrared and Millimeter Waves, Volume. 39, Issue 3, 300(2020)
A fast imaging algorithm for sparse array imaging based on PCA and modified SLIM methods
Fig. 1. The square boundary array, where the red circles represent the spatial position of the transmitting antenna and the green circles represent the spatial position of the receiving antenna, blue stars show the positions of the equivalent phase center
Fig. 4. (a) The original image generated by the FFT algorithm (b) The auto- focus image generated by the SLIM algorithm (iteration number = 2) (c) The auto-focus image generated by the modified SLIM algorithm (Th_dB = -15dB and no iteration)
Fig. 6. (a) The original image generated by the FFT algorithm (b) The auto-focus image generated by the SLIM algorithm (iteration number = 2) (c) The auto-focus image generated by the modified SLIM algorithm (Th_dB = -20dB and no iteration)
Fig. 7. (a) The original image generated by the FFT algorithm (b) The auto-focus image generated by the SLIM algorithm (iteration number = 2) (c) The auto-focus image generated by the modified SLIM algorithm (Th_dB = -20dB and iteration number = 2)
Fig. 8. Images under different iteration numbers of the SLIM algorithm. (a) 1 (b) 2 (c) 3 (d) 4
Fig. 9. Images under different iteration numbers of the modified SLIM algorithm (Th_dB = -20 dB). (a) 1 (b) 2 (c) 3 (d) 4
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Xiang-Xin MENG, Shuai WU, Hao TU, Tao-Rong LIU, Xue-Ming JIN. A fast imaging algorithm for sparse array imaging based on PCA and modified SLIM methods[J]. Journal of Infrared and Millimeter Waves, 2020, 39(3): 300
Category: Millimeter Wave and Terahertz Technology
Received: Oct. 18, 2019
Accepted: --
Published Online: Jul. 7, 2020
The Author Email: Shuai WU (shuaiwu52@163.com)