Improved RTQC-algorithm based on adaptive Kalman filtering
Lei Li · Jisuanji gongcheng yu sheji · 2009
On the RTQC-algorithm(real time quality control) is researched to do the space registration of original radar data.The RTQC-algorithm is improved by using the Kalman-filtering process to deal with the random error,and to get the system error of the radar system.The Kalman filtering process is improved by calculating the measurement error covariance matrix and process error covariance matrix adaptively,the request of the knowledge of the error is deduced.A better adaptation of Kalman filtering is provided and the ef-fectiveness of the algorithm is analyzed.The experiment of the real data show the effective result of this algorithm.