Model for Compensation of Systematic Errors in Measurements of Two Radars

Abstract

This article examines a model compensation of systematic errors in the measurements of two three dimensional radars observing a group of objects. This model is based on the recursive estimation of systematic errors using the least squares method for radar measurement parameters. The issue of estimating and compensating systematic errors in azimuth, distance, and elevation when operating with two sensors is considered, based on the use of the Kalman filter. The next development stage involves creating a combinatorial algorithm for compensating systematic errors in the observation of a group of objects by a group of radars. It is assumed that the observed section of object movement is linear with constant speed.