Workflow for processing and forming a SAR image:

Outside of Python:

• Film .tak file in Motive to get approximate motion start and end frames
• Open reference .csv of single reflector and calculate average position

Read in data:

• Unpack RADAR data using unpack(), saving into data.pkl
• Read in RADAR from data.pkl trimming with defaults trim = 580, rangeshift = 0.3
• Compute RCS scaled version of RADAR data using rcs()
• Read in motion data from .csv file

Align data:

• Plot RTI graph using plotRTI() to estimate start RADAR data
• Plug in motion start and end frames from Step 1 and start RADAR data at frame from previous step
• Run aligndata() with 0 and 3500 as initial inputs
• Plot aligned data using AlignedGraph()
• Play around with parameters to form the best alignment as shown in AlignedGraph()

Backproject:

• Use BackProjection(), with any interval/step size, to generate the image
  • First use relatively large step sizes, but make them smaller as you go

Deconvolute and plot:

• Run Richardson-Lucy deconvolution using deconvolute()
  • Plot images, and export data as an array