Sensor error correction method

Abstract

According to the situation that whether the sensor knows the position of the sensor and whether the sensor obtains truth value information of a detected target or not, different situations of error correction of the networked sensor are divided into four classes, the four classes are defined as 1-level to 4-level error correction, the correction precision of the first-level error correction is the highest, the correction precision of the fourth-level error correction is the lowest, and most sensor error correction situations are covered; the method is of great significance in improving systematicness and processability of networking sensor error correction. Generating a suitable flight path state estimate of an aircraft by accumulating the same target-associated probe data streams without error correction and using the output of a maneuvering detection algorithm is an appropriate error correction means. Local sensor tracking state estimates are compared to remote sensor target state estimates created by fusing collaborative probing received from the network. Error correction of four levels is performed according to data provided by a remote sensor. For the first three error correction levels, it is assumed that the sensor obtains navigation and positioning data about the sensor itself from navigation and positioning resources such as Beidou and GPS, and for the fourth-level error correction, the position data of the sensor itself is not known.

Description

technical field [0001] The invention belongs to the field of sensor error correction, and in particular relates to a sensor error correction method. Background technique [0002] Usually, the measurement accuracy of a sensor is characterized and measured by the size of its measurement error. The measurement error refers to the deviation between the measured value and the real value. A small measurement error means high measurement accuracy. There are systematic errors and random errors in the original measurement data of precision tracking measurement sensors. In order to improve the accuracy of measurement data, random noise is suppressed through data smoothing and filtering in data processing, while systematic errors are reduced through error correction. Therefore, error correction or calibration is a regular task in the use and maintenance of precision tracking measurement sensors. Accurate calibration will help correct system errors and improve sensor measurement accura...

AI Technical Summary

Problems solved by technology

The above three calibration methods are based on the fact that the sensor has obtained its own ready position, but in practice the sensor does not necessarily know its own position accurately, and at the same time may not be able to obtain the true value information of the sensor's detection target, so in many cases The system error calibration performed is usually performed by multiple sensors simultaneously detecting the same target for calibration

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