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This paper presents a novel dynamic compressed sensing based track-before-detect (DCS-TBD) algorithm. The proposed DCS-TBD algorithm reconstructs the radar scenario at each scan, and extracts the states of potential targets from the reconstructed radar scenario. The proposed algorithm distinguishes the true targets from clutter via a Kalman filter based potential targets management scheme. Following...
It is very important to find a criterion when to perform a resampling step. Aimed at this problem, an adaptive resampling algorithm in particle filter based on diversity measures is presented. Based on the analysis and comparison of two diversity measures that are effective sample size (ESS) and population diversity factor (PDF), the resampling algorithm based on ESS is introduced. On the basis of...
In this paper, it proposes an object tracking algorithm based-on the Kalman filter combined with the mean-shift algorithm. It can predict the object motion more accurate with Kalman filter, including position and velocity. And the adjacent locations of the predicted point are defined as the search window. In the search window, the position of object is fixed on by mean-shift. The experiment results...
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