Title :
Approximating non-linear parameter estimators
Author_Institution :
Boeing Defense & Space., Seattle, WA, USA
Abstract :
Many signal processing problems are inherently parameter estimation problems. Such estimators are seldom easy to analytically determine and even if they are found, can be very complicated to compute. The author presents a method to approximate the estimator by a general, easily-computable family of functions. This technique is applied to a multipath height-finding problem in radar
Keywords :
function approximation; interpolation; iterative methods; least squares approximations; parameter estimation; radar altimetry; radar signal processing; signal processing; multipath height-finding problem; nonlinear parameter estimators; radar; signal processing; Computer networks; Fourier transforms; Interpolation; Kernel; Maximum likelihood estimation; Parameter estimation; Radar signal processing; Random variables; Signal processing; Spline;
Conference_Titel :
Digital Signal Processing Workshop, 1994., 1994 Sixth IEEE
Conference_Location :
Yosemite National Park, CA
Print_ISBN :
0-7803-1948-6
DOI :
10.1109/DSP.1994.379848
