Considering the problem of liquid level sensor is easily affected by temperature

the compound correction model for liquid level nonlinear correction and temperature compensation based on the Laguerre basis functions is proposed

and the recursive least square（ RLS） algorithm is applied to fit calibration liquid level to determine the parameters of the composite compensation model. The method can calculate the actual liquid level with high accuracy according to the measured values of the liquid level sensor and environmental temperature. The simulation results show that the maximum relative error is not more than 3. 414 5 × 10

-7

%. The proposed approach has good nonlinear correction and temperature compensation effect

and has important theoretical and application value in th

e field of liquid level detection.