output

Create a history-based logic. Specify confirmation threshold values Mc and Nc as the vector [3 5]. Specify deletion threshold values Md and Nd as the vector [6 7].

historyLogic = trackHistoryLogic('ConfirmationThreshold',[3 5], ...
    'DeletionThreshold',[6 7]);

Get the recent history of the logic. The history vector has a length of 7, which is the greater of Nc and Nd. All values are 0 because the logic is not initialized.

h = output(historyLogic)

h = 1x7 logical array

   0   0   0   0   0   0   0

Initialize the logic, then get the recent history of the logic. The first element, which indicates the most recent update, is 1.

init(historyLogic);
h = output(historyLogic)

h = 1x7 logical array

   1   0   0   0   0   0   0

Update the logic with a hit, then get the recent history of the logic.

hit(historyLogic);
h = output(historyLogic)

h = 1x7 logical array

   1   1   0   0   0   0   0

Create a score-based logic with default confirmation and deletion thresholds.

scoreLogic = trackScoreLogic;

Get the current and maximum score of the logic. Both scores are 0 because the logic is not initialized.

s = output(scoreLogic)

s = 1×2

     0     0

Specify the volume of a sensor detection bin (volume), and the new target rate in a unit volume (beta). Initialize the logic using these parameters and the default probabilities of detection and false alarm. The first update to the logic is a hit.

volume = 1.3;
beta = 0.1;
init(scoreLogic,volume,beta);

Get the current and maximum score of the logic.

s = output(scoreLogic)

s = 1×2

   11.6699   11.6699

Update the logic with a miss, then get the updated scores.

miss(scoreLogic)
s = output(scoreLogic)

s = 1×2

    9.3673   11.6699