Since the errors in the measurement data of sensors such as radar are time-varying, if the measurement error parameters of sensors are not estimated and compensated in time, the accuracy of the measurement data will be greatly deteriorated, and then resulting in a decrease in the accuracy of the subsequent multi-sensor data association. To solve the above problems, a method of sensor error calibration and application based on sample data statistics is proposed, which can estimate the system error and error ellipse parameters in different grid sector distribution by using the historical measurement data of the sensor, as a result, the problem of fast calibration of sensor measurement data error parameters are solved effectively.