Multiple Search Particle Probability Hypothesis Density Filtering Method for Multiple Target Tracking
A probability hypothesis density, multi-target tracking technology, applied in the field of radar tracking of multi-targets, can solve problems such as target loss
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[0065] The MS-PPHDF method proposed by the present invention will be described in detail below in conjunction with the accompanying drawings.
[0066] Without loss of generality, a two-dimensional simulation scene is set, the monitoring area S=[-60km, 60km]×[-60km, 60km], and the total simulation time K=50s. Assuming that the target can appear and disappear randomly in the monitoring area, the average target appearance probability γ k = 0.2, the initial distribution D of the target appearance 0 subject to mean x 0 and covariance Q b The normal distribution of , here take x 0 =[30km0.2km / s 30km-0.1km / s] T and Q b =diag([1km 0.5km / s 1km 0.5km / s]), the standard deviation of the process noise in the x direction and y direction is 0.01km, the probability that the target persists is e k|k-1 = 0.95 and has nothing to do with the target state. The radar is located at point (0km, -10km), and the detection probability is P D =0.75, the average number of clutter per frame is λ k...
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