checkConfirmation
Check if track should be confirmed
Description
returns a flag that is tf
= checkConfirmation(historyLogic
)true
when at least Mc out of
Nc recent updates of the track history logic object
historyLogic
are true
.
returns a flag that is tf
= checkConfirmation(scoreLogic
)true
when the track should be confirmed based on
the track score.
Examples
Check Confirmation of History-Based Logic
Create a history-based logic. Specify confirmation threshold values Mc and Nc as the vector [2 3]. Specify deletion threshold values Md and Nd as the vector [3 3].
historyLogic = trackHistoryLogic('ConfirmationThreshold',[2 3], ... 'DeletionThreshold',[3 3])
historyLogic = trackHistoryLogic with properties: ConfirmationThreshold: [2 3] DeletionThreshold: [3 3] History: [0 0 0]
Initialize the logic, which records a hit as the first update to the logic. The confirmation flag is false
because the number of hits is less than two (Mc).
init(historyLogic) history = output(historyLogic); confFlag = checkConfirmation(historyLogic); disp(['History: [',num2str(history),']. Confirmation Flag: ',num2str(confFlag)]);
History: [1 0 0]. Confirmation Flag: 0
Update the logic with a hit. The confirmation flag is true
because two hits (Mc) are counted in the most recent three updates (Nc).
hit(historyLogic) history = output(historyLogic); confFlag = checkConfirmation(historyLogic); disp(['History: [',num2str(history),']. Confirmation Flag: ',num2str(confFlag)]);
History: [1 1 0]. Confirmation Flag: 1
Check Confirmation of Score-Based Logic
Create a score-based logic, specifying the confirmation threshold. The logic uses the default deletion threshold.
scoreLogic = trackScoreLogic('ConfirmationThreshold',8);
Specify the probability of detection (pd
), the probability of false alarm (pfa
), the volume of a sensor detection bin (volume
), and the new target rate in a unit volume (beta
).
pd = 0.8; pfa = 1e-3; volume = 1.3; beta = 0.1;
Initialize the logic using these parameters. The first update to the logic is a hit.
init(scoreLogic,volume,beta,pd,pfa);
disp(['Score and MaxScore: ', num2str(output(scoreLogic))]);
Score and MaxScore: 4.6444 4.6444
The confirmation flag is false
because the score is less than the confirmation threshold.
confirmationFlag = checkConfirmation(scoreLogic)
confirmationFlag = logical
0
Specify the likelihood that the detection is assigned to the track. Then, update the logic with a hit. The current score and maximum score increase.
likelihood = 0.05 + 0.05*rand(1);
hit(scoreLogic,volume,likelihood,pd,pfa)
disp(['Score and MaxScore: ', num2str(output(scoreLogic))])
Score and MaxScore: 9.1916 9.1916
The confirmation flag is now true because the score is greater than the confirmation threshold.
confirmationFlag = checkConfirmation(scoreLogic)
confirmationFlag = logical
1
Input Arguments
historyLogic
— Track history logic
trackHistoryLogic
Track history logic, specified as a trackHistoryLogic
object.
scoreLogic
— Track score logic
trackScoreLogic
object
Track score logic, specified as a trackScoreLogic
object.
Output Arguments
tf
— Track should be confirmed
true
| false
Track should be confirmed, returned as true
or
false
.
Extended Capabilities
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
Version History
Introduced in R2018b
See Also
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