Signal processing of SAW temperature sensor based on FPGA
Considering that the temperature measurement accuracy of surface acoustic wave(SAW)temperature sensor is greatly affected by noise interference,a hardware processing sensor echo signal test system based on FPGA is designed.In order to obtain high quality echo signal data and improve temperature measurement accuracy,based on the principle of adaptive filtering,the LMS a-daptive algorithm is integrated into the hardware circuit with FPGA as the core,the signal of the receiving end of the wireless test sys-tem is processed by adaptive filtering,the filtered signal is analyzed by FFT spectrum,and the test results are captured by software.It is proved that the system can effectively suppress the interference signal and play an important role in accurate temperature measure-ment.
XC7A35TLMS adaptive filteringFFTSAW temperature sensorEcho sign
万方数据
维普
