• Laser & Optoelectronics Progress
  • Vol. 60, Issue 10, 1011006 (2023)
Xu Dong*
Author Affiliations
  • Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, Zhejiang, China
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    DOI: 10.3788/LOP223136 Cite this Article Set citation alerts
    Xu Dong. Sparse-Induced Current-Based Real-Time Microwave Imaging Method[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1011006 Copy Citation Text show less
    Basic block diagram of backscatter imaging system
    Fig. 1. Basic block diagram of backscatter imaging system
    Block diagram of BP inversion algorithm based on sparse induced currents
    Fig. 2. Block diagram of BP inversion algorithm based on sparse induced currents
    Singular value spectrum of GS matrix for different number of receiving antennas M
    Fig. 3. Singular value spectrum of GS matrix for different number of receiving antennas M
    Pareto curves composed of different regularization parameters
    Fig. 4. Pareto curves composed of different regularization parameters
    Induced current simulation results. (a) Original object; (b) theoretical induced currents; (c) BP-based induced currents; (d) sparse induced currents
    Fig. 5. Induced current simulation results. (a) Original object; (b) theoretical induced currents; (c) BP-based induced currents; (d) sparse induced currents
    Simulation imaging results. (a) Original object; (b) inversion results based on traditional BP algorithm; (c) inversion results based on improved BP algorithm
    Fig. 6. Simulation imaging results. (a) Original object; (b) inversion results based on traditional BP algorithm; (c) inversion results based on improved BP algorithm
    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. 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
    Experimental system of microwave imaging based on radio frequency switching network. (a) Block diagram of the system; (b) experimental photos
    Fig. 8. Experimental system of microwave imaging based on radio frequency switching network. (a) Block diagram of the system; (b) experimental photos
    Experimental inversion images. (a) Imaging results of traditional BP algorithm; (b) imaging results of improved BP algorithm
    Fig. 9. Experimental inversion images. (a) Imaging results of traditional BP algorithm; (b) imaging results of improved BP algorithm
    IndexAlgorithmSingle cylinderDouble cylinder
    Relative errorTraditional BP0.530.56
    Improved BP0.360.40
    Time /sTraditional BP1.201.19
    Improved BP0.460.44
    Table 1. Comparison of reconstruction error and inversion speed of the simulation