eazydammy/radar-target-generation-and-detection

Generating targets and detecting range and velocity from simulated FMCW waveform radar signals using the Range/Doppler FFT method and displaying targets using the 2D CFAR visualization.

Radar Target Generation and Detection

Implementation steps for the 2D CFAR process

• Determine the number of Training cells for each dimension. Similarly, pick the number of guard cells.
• Slide the cell under test across the complete matrix. Make sure the CUT has margin for Training and Guard cells from the edges.
• 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.

Selection of Training, Guard cells and offset

Tr = 12; Td = 6;

Gr = 6; Gd = 3;

offset = 1.4; (by SNR value in dB)

The selection of values were obtained by tweaking for accuracy. Also, the higher the value of cells, the longer it took to run the program.

Steps taken to suppress the non-thresholded cells at the edges

The few non-thresholded cells are set to zero by creating a logical index to cells that have not been thresholded to zero or one. This is to keep the map size same as it was before CFAR

RDM(RDM~=0 & RDM~=1) = 0