Tracking-before-detection method for weak and small multi-targets with high-resolution sensors
A sensor and high-resolution technology, applied in the field of information fusion, can solve problems such as algorithm complexity and calculation increase, targets are easily lost, and the number of targets is estimated to be too many, to prevent rapid degradation and solve the effects of easy loss.
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[0052] Without loss of generality, assume a two-dimensional multi-target tracking scene, the total simulation time is 80s, and the PHD filter is realized by particle filtering. The sensor is located at the origin of the coordinates, the sampling period is T=1s, and a two-dimensional image in a certain detection area can be provided at each moment. Each image contains m×n=20×20 resolution units, and the scale of each resolution unit is set to Δ x =Δ y = 1, with Indicates the observation data of time k resolution unit (i, j)
[0053]
[0054] in is the influence of the target on the intensity of the resolution unit (i,j), is the measurement noise of the resolution unit (i, j), and it is assumed that the measurement noise between the resolution unit and the resolution unit, the previous moment and the next moment are independent of each other. For simplicity, it is assumed that the measurement noise follows a Gaussian distribution with zero mean, that is, (x k ,y k )...
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