Radar_2D_CFAR

2D CFAR

After some hyperprameter tunning I found that the best numbers is:

Tr = 8; 
Td = 5;

Gr = 2;
Gd = 2;

offset = 6;

Then I made a for-loop that do:

• For every iteration sum the signal level within all the training cells. To sum convert the value from logarithmic to linear using db2pow function.
• Average the summed values for all of the training cells used. After averaging convert it back to logarithmic using pow2db.
• Further add the offset to it to determine the threshold.
• Next, compare the signal under CUT against this threshold.
• If the CUT level > threshold assign it a value of 1, else equate it to 0.