An Adaptive Gaussian Sum Algorithm for Radar Tracking
نویسندگان
چکیده
In this paper, we propose a new radar tracking algorithm based on the Gaussian sum "lter. To alleviate the computational burden associated with the Gaussian sum "lter, we have developed a new systematic and e$cient way to approximate a non-Gaussian and measurement-dependent function by a weighted sum of Gaussian density functions and we have also suggested a way to alleviate the growing memory problem inherited in the Gaussian sum "lter. Our method is compared with the extended Kalman "lter (EKF) and the converted measurement Kalman "lter (CMKF) and it is shown to be more accurate in term of position and velocity errors. ( 1999 Elsevier Science B.V. All rights reserved.
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تاریخ انتشار 1997