Xu Dong. Sparse-Induced Current-Based Real-Time Microwave Imaging Method[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1011006

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- Laser & Optoelectronics Progress
- Vol. 60, Issue 10, 1011006 (2023)

Fig. 1. Basic block diagram of backscatter imaging system

Fig. 2. Block diagram of BP inversion algorithm based on sparse induced currents

Fig. 3. Singular value spectrum of GS matrix for different number of receiving antennas M

Fig. 4. Pareto curves composed of different regularization parameters

Fig. 5. Induced current simulation results. (a) Original object; (b) theoretical induced currents; (c) BP-based induced currents; (d) sparse induced currents

Fig. 6. Simulation imaging results. (a) Original object; (b) inversion results based on traditional BP algorithm; (c) inversion results based on improved BP algorithm

Fig. 7. Simulated results using different number of transmitting antennas. (a) Inversion results based on conventional BP algorithm using 3 Tx and 12 Rx; (b) inversion results based on improved BP algorithm using 3 Tx and 12 Rx; (c) inversion results based on conventional BP algorithm using 6 Tx and 12 Rx; (d) inversion results based on improved BP algorithm using 6 Tx and 12 Rx

Fig. 8. Experimental system of microwave imaging based on radio frequency switching network. (a) Block diagram of the system; (b) experimental photos

Fig. 9. Experimental inversion images. (a) Imaging results of traditional BP algorithm; (b) imaging results of improved BP algorithm
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Table 1. Comparison of reconstruction error and inversion speed of the simulation

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