AN ADAPTIVE MULTI-TARGET TRACKING ESTIMATOR | ||||
| International Conference on Aerospace Sciences and Aviation Technology | ||||
| Article 118, Volume 10, 10th International Conference On Aerospace Sciences & Aviation Technology, May 2003, Page 1165-1175 PDF (1.26 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/asat.2001.59817 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Ragab K. M.1; El-Mahy M. K.1; Emara A.1; Aly G. M.2 | ||||
| 1Egyptian Armed Forces. | ||||
| 2Faculty of Engineering, AM-shams University. Cairo, Egypt. | ||||
| Abstract | ||||
| Target tracking problem is normally composed of three main major functions: automatic track initiation, correlation, and track update. target tracking algorithms are usually based on applying optimal filtering theory. There have been numerous derivations of the optimal relations between the tracking parameters. In this paper, track update based on an adaptive Kalman algorithm with simplest case the adaptive aog filter is formulated as shown in Fig.1. The necessary relations for pre-update extrapolation gain selection, update position, velocity filtering or smoothing, covariance matrix, and post-update are discussed. Implementation and results of multi-target tracking (MU) using simulated electronic system input are presented. Results show a significant improvement in position and velocity of target tracking performance. | ||||
| Keywords | ||||
| Multi-target Tracking; signal processing; and Kalman Filtering Theory | ||||
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