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Track initiation of small targets using radar is challenging problem. It is a highly difficult when power resource of the radar is limited, because of low probability of measurement detection. In order to overcome the issues, one solution is to lower the threshold of measurement detection. However a large number of false alarms are detected at the same time and tracking cannot give a full performance...
Data fusion which uses observations from networked plural sensor and generates an integrated track achieves wide surveillance area and a high accurate track by minimizing error ellipse based on error covariance matrix. There are two issues in data fusion. One is an architecture issue whether centralized data fusion (CDF) or distributed data fusion (DDF). The other is a transmitting issue that is when...
A data association algorithm for specific radio source using multiple angle of arrival (AOA) is proposed. Conventional method has been inadequate for continuous data association because it associates nearest AOA with predicted angle by angle tracking and then loses track of true radio source. Proposed algorithm, featured by calculating weight for AOAs using angle difference of arrival and associating...
MLPDA (Maximum Likelihood Probabilistic Data Association) is an effective method to extract a target track in high false density environments, but it requires very high computational load. To resolve the high computational burden, we propose VG-MLPDA (Variable Gating MLPDA) which consists of two steps: rough search and detailed search. At the rough search step, it finds the maximum likelihood track...
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