Omnidirectional radar data processing method and system

Abstract

The invention relates to the technical field of radar data processing and discloses an omnidirectional radar data processing method and system. The method comprises the following steps: determining a grid where a target locates; carrying out association with targets in the adjacent grids; carrying out polar coordinate Kalman filtering; carrying out rectangular coordinate Kalman filtering by utilizing the result of the previous stage of filtering; and carrying out target track management. According to the method and system, grid division is carried out on radar detection airspace, and neighborhood space association is carried out, so that calculation amount can be effectively reduced, and running speed of the system is improved; and a multi-step multistage Kalman filtering model is used, so that advantages of the two can be effectively utilized, and measurement accuracy of the whole radar system is improved.

Description

technical field [0001] The invention relates to the technical field of radar data processing, and more particularly, to an omnidirectional radar data processing method and system. Background technique [0002] Recently, with the rapid development of wireless communication technology, radar has become a key component of communication equipment, and also plays a decisive role in the quality of communication, radio and television services. Radar data processing refers to the interconnection, tracking, filtering, smoothing, prediction and other processing performed by the radar after obtaining the measurement data such as the radial distance, radial velocity, azimuth and pitch angle of the target. Random error, accurately estimate the target position and motion parameters, predict the next position of the target, and form a stable target track. With the development of information technology, the research of radar data processing has the following development directions: high-sp...

AI Technical Summary

Problems solved by technology

Cartesian coordinate Kalman filter requires that the measured value of the radar’s azimuth angle be more accurate, otherwise the azimuth angle measurement error will introduce coupling problems in the X direction and the Y direction, and the tracking performance of the entire system will be greatly reduced

At the same time, the Cartesian coordinate Kalman filter is weak in tracking maneuvering targets, and measurement error conversion is required, which increases the amount of calculation of the system

The basic method of omnidirectional detection radar angle measurement is to measure the angle by amplitude ratio. The accuracy of angle measurement is easily affected by factors such as noise and terrain when it is implemented in engineering. A single Cartesian coordinate filter model is not suitable for omnidirectional radar data processing requirements.

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