Title : 
Backscatter Error Bounds for the Elastic Lidar Two-Component Inversion Algorithm
         
        
            Author : 
Rocadenbosch, Francesc ; Frasier, Stephen ; Kumar, Dhiraj ; Lange, Diego ; Gregorio, Eduard ; Sicard, Michaël
         
        
            Author_Institution : 
Dept. of Signal Theor. & Commun., Univ. Politec. de Catalunya, Barcelona, Spain
         
        
        
        
        
        
        
            Abstract : 
Total backscatter-coefficient inversion error bounds for the two-component lidar inversion algorithm (so-called Fernald´s or Klett-Fernald-Sasano´s method) are derived in analytical form in response to the following three error sources: 1) the measurement noise; 2) the user uncertainty in the backscatter-coefficient calibration; and 3) the aerosol extinction-to-backscatter ratio. The following two different types of error bounds are presented: 1) approximate error bounds using first-order error propagation and 2) exact error bounds using a total-increment method. Both error bounds are formulated in explicit analytical form, which is of advantage for practical physical sensitivity analysis and computational implementation. A Monte Carlo approach is used to validate the error bounds at 355-, 532-, and 1064-nm wavelengths.
         
        
            Keywords : 
Monte Carlo methods; backscatter; error analysis; optical radar; remote sensing by laser beam; Fernald´s method; Klett-Fernald-Sasano´s method; Monte Carlo approach; aerosol extinction-to-backscatter ratio; backscatter coefficient calibration; elastic lidar two component inversion algorithm; error source; first order error propagation; measurement noise; practical physical sensitivity analysis; total backscatter coefficient inversion error bound; total increment method; user uncertainty; Aerosols; Backscatter; Calibration; Laser radar; Signal to noise ratio; Backscatter coefficient; Fernald algorithm; inversion; lidar; signal processing;
         
        
        
            Journal_Title : 
Geoscience and Remote Sensing, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/TGRS.2012.2194501