likelihood

Log-likelihood of association between detection cells and components in the density

Syntax

lhood = likelihood(phd,detectionIndices)

Description

lhood = likelihood(phd,detectionIndices) returns the log-likelihood of association between detection cells specified by detectionIndices, and components in the phd filter, phd.

Input Arguments

phd — phd filter

ggiwphd filter object | gmphd filter object

phd filter, specified as a ggiwphd filter object or a gmphd filter object.

Example: phd

Data Types: object

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.

Example: [1 0 0; 0 1 1; 1 1 0]

Data Types: logical

Output Arguments

lhood — log-likelihood of association between detection cells and components

N-by-P real-valued matrix

Log-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) element of lhood matrix represents the log-likelihood of association between component i and detection cell j.

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

Version History

Introduced in R2019a