phd filter with detections
phd filter object using detections specified by
detectionIndices and corresponding detection likelihoods,
detectionIndices — Indices of detection cells
M-by-P logical matrix
Indices of detection cells, specified as an M-by-P logical matrix. M is the number of detections, and P is the number of detection cells. In each column, if the value of the ith element is 1, then the ith detection belongs to the detection cell specified by this column. On the contrary, if the value of the ith element is 0, then the ith detection does not belong to the detection cell specified by this column.
[1 0 0; 0 1 1; 1 1 0]
likelihood — Likelihood of association between detection cells and components
N-by-P real-valued matrix
Likelihood of association between detection cells and components in the density,
specified as an N-by-P real-valued matrix.
N is the number of components in the density of PHD filter, and
P is the number of detection cells specified by
detectionIndices. The (i,j)
likelihood matrix represents the likelihood of
association between component i and detection cell
j. The weight of a component after correction is equal to its
original weight multiplied by its likelihood.
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
Introduced in R2019a