Measurement data fusion method for two-dimensional radar and infrared sensors at different sites

Abstract

A measurement data fusion method for a two-dimensional radar and infrared sensors at different sites. The method includes the following steps that: step 1, successful measurement target pair information is received; second step, a target observation equation is constructed through transformation; third step, state vectors that satisfy Markov estimation conditions are constructed according to measurement azimuth angle characteristics; fourth step, Markov estimation is performed on a target state vector X; step five, error covariance calculation is performed on the target state vector X; and step six, state vectors on a Z axis and the variance of the state vectors are calculated. The measurement data fusion method is advantageous in simple operation. According to the measurement data fusion method of the invention, the target observation equation is constructed through combining the measurement data of the two-dimensional radar and the infrared sensors at different time points; the state vectors and the covariance thereof of the target observation equation are estimated according to the Markov estimation principle; and therefore, complex time-space alignment calculation of vacant-dimension data can be avoided. The method is easy to implement and apply to engineering practice, and has a target state estimation function as well as fusion and filtering functions, and has excellent real-time performance and high fusion accuracy.

Description

technical field [0001] The invention belongs to the technical field of data fusion, and specifically relates to a method for synthesizing data of 2-dimensional radars and infrared sensors on different platforms. The time and space alignment of heterogeneous sensor data is performed separately, thereby avoiding the complex time-space alignment / coordinate conversion of dimensionless data and the principle error introduced thereby. Background technique [0002] The detection capabilities of various types of sensors have their own advantages and certain limitations. In order to achieve comprehensive, complete and stable battlefield situation awareness, it is necessary to disperse and set various types of sensors in the combat space to form a sensor network. These sensors include warning radar, search radar, tracking radar, infrared, television, laser, electronic warfare and other detection equipment, and use data fusion technology to perform data fusion on the target detection / t...

AI Technical Summary

Problems solved by technology

Due to the asynchronous detection time of heterogeneous data of two-coordinate radar and infrared sensor, the coordinates are not uniform, the data rate is inconsistent, and the measurement dimension does not match, it is difficult to directly adopt this kind of synthesis method for the synthesis processing of such information.

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