研究目的
To design and implement a flexible and MIMO-capable GPR system that overcomes the limitations of current GPRs, such as drift in scan results, low resolution, or low depth of scan, by using maximal length pseudorandom sequences (m-sequences) and a MIMO transceiver.
研究成果
The proposed GPR system demonstrates the potential to achieve higher resolution, increased depth of scan, and reduced drift between scans by using m-sequences and a MIMO transceiver. The system's flexibility and MIMO capability offer significant advantages over traditional GPRs. Future work includes completing the testing of the Tx-Rx loop and developing algorithms for signal processing, including deep learning for object detection and classification.
研究不足
The system's performance is limited by the bandwidth and resolution trade-off inherent in GPR systems. The use of low-speed ADCs and the subsampling scheme may introduce limitations in signal fidelity and processing speed. Additionally, the system's effectiveness in different soil types and conditions needs further validation.
1：Experimental Design and Method Selection:
The system uses an 8×8 MIMO-capable impulse-based GPR that transmits m-sequences generated on a low-cost FPGA platform. It performs a quadrature transform on the received signal to reduce computation and implements sub-sampling to sample the quadrature-converted signals using low-speed ADCs.
2：Sample Selection and Data Sources:
The system uses transmitter (Tx) and receiver (Rx) arrays, each consisting of eight antipodal Vivaldi antennas.
3：List of Experimental Equipment and Materials:
The system includes an Altera DE4 FPGA development platform, custom Tx and Rx boards, AD9254 ADCs, and antipodal Vivaldi antennas.
4：Experimental Procedures and Operational Workflow:
The FPGA generates and modulates m-sequences at 1.5 GHz. The Tx board converts differential pulses into single-ended form, amplifies them, and selects a particular Tx antenna. The Rx board selects one of the Rx antennas, performs quadrature demodulation, and samples the signal using a subsampling scheme.
5：5 GHz. The Tx board converts differential pulses into single-ended form, amplifies them, and selects a particular Tx antenna. The Rx board selects one of the Rx antennas, performs quadrature demodulation, and samples the signal using a subsampling scheme.
Data Analysis Methods:
5. Data Analysis Methods: The digitized data is read into the FPGA for further processing, including pulse compression and object detection.
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