In order to solve the problem of sensitivity to environmental parameters in the application of fiber loop cavity ring-down spectroscopy(FLCRDS)sensors

a pressure sensor based on dual-channel FLCRDS technology is proposed.One channel uses the ring-down time to measure the ambient temperature under a fixed pressure on this sensor head

and the other channel uses the ring-down time to measure the pressure on the sensor head.Temperature compensation is then performed based on the back propagation(BP)neural network.The ambient temperature and measured pressure value output by the sensor are used as input samples and the actual pressure value of the sensor head is used as the output sample.Through network training

the measured pressure value of the system is temperature-compensated effectively.Experimental results show that this method can improve the performance of the sensor effectively

and the pressure measurement error is reduced to 2.47% after temperature compensation in the range of 20~50℃.