研究目的
To propose and evaluate a multiple access method (MSMA) for perfectly synchronized concurrent data collection from multiple passive backscatter wireless sensor tags, enabling applications in structural health monitoring with less than 128 microsecond synchronization error.
研究成果
MSMA enables synchronized and concurrent data streaming from multiple backscatter sensor tags with digital modulation, achieving approximately 10 dB interference rejection gain. The method is practical for structural health monitoring, as demonstrated in bridge vibration tests, though processing delays and packet errors exist and can be mitigated with hardware improvements.
研究不足
The current implementation has a signal processing bottleneck in the PC, limiting the best packet error rate to 0.1 even under good conditions. This can be improved by offloading processing to FPGA or DSP.
1:Experimental Design and Method Selection:
The study employs the Multiple Subcarrier Multiple Access (MSMA) method, which uses dedicated subcarrier frequencies for each sensor tag with digital modulation. Signal processing involves interference rejection through harmonic replica calculation and subtraction in a software-defined receiver.
2:Sample Selection and Data Sources:
Prototype sensor tags are used, developed with discrete electrical parts, and evaluations are conducted in both wired and wireless environments with up to four sensors.
3:List of Experimental Equipment and Materials:
Equipment includes USRP 2952R, LabVIEW Communications software, prototype sensor tags with CPLD (Altera MAX50) and MCU (Atmel SAML21E), accelerometers, antennas, amplifiers, and data loggers.
4:Experimental Procedures and Operational Workflow:
The process involves tag discovery, subcarrier channel allocation, interference rejection, and data collection. Experiments include fundamental performance tests with variable carrier-to-interference ratios and bridge vibration measurements comparing wireless and wired data.
5:Data Analysis Methods:
Data is analyzed using packet error rate calculations, IQ constellation examination, and wavelet analysis for frequency response.
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