The invention relates to an automatic inversion arithmetic based on the height of a
laser radar mixed layer, including the steps: firstly, inverting a
laser radar echoed
signal to obtain a gas dispersThe invention relates to an automatic inversion arithmetic based on the height of a
laser radar mixed layer, including the steps: firstly, inverting a laser radar echoed
signal to obtain a gas dispersoid back scattering line drawing, then setting a fitting initial value to confirm a proper initial value by the heights of different mixed
layers obtained by different initial values through comparisooid back scattering line drawing, then setting a fitting initial value to confirm a proper initial value by the heights of different mixed
layers obtained by different initial values through comparison, and using an improved
gradient method and using an
error function to fit original signals to obtain the information about the heights of the mixed
layers. The invention utilizes a gas dispersoid ban, and using an improved
gradient method and using an
error function to fit original signals to obtain the information about the heights of the mixed layers. The invention utilizes a gas dispersoid back scattering echoed
signal drawing of a
ceilometer to obtain a gas dispersoid back scattering
extinction coefficient line distribution drawing and uses the
error function to fit a proximal curve of tck scattering echoed signal drawing of a
ceilometer to obtain a gas dispersoid back scattering
extinction coefficient line distribution drawing and uses the error function to fit a proximal curve of the original signals through the improved traditional
gradient method, thereby being capable of accurately calculating the heights of the mixed layers and having the advantages of small errors, high dihe original signals through the improved traditional gradient method, thereby being capable of accurately calculating the heights of the mixed layers and having the advantages of small errors, high discriminability and well identification to the needed information.scriminability and well identification to the needed information.