Title :
Prony approximations for probability density functions
Author :
Ritcey, James A.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
Abstract :
Performance evaluation of many systems in radar, sonar, and communications is often hampered by the complicated, if not intractable, analytical form of an underlying probability density function (pdf). In this paper, we propose the use of the Prony method to generate an exponential sum approximation to the pdf of positive random variables. The Prony method is well-known in signal processing, yet has not been applied to this application. The Prony method reduces the problem of estimating the modes and mode amplitudes of an exponential sum to that of two least squares problems. We illustrate the efficiacy of the method on several examples in statistical communications theory
Keywords :
Monte Carlo methods; amplitude estimation; least squares approximations; probability; signal detection; signal processing; CFAR detectors; Monte Carlo Prony algorithm; Prony approximations; exponential sum approximation; least squares problems; mode amplitude estimation; performance evaluation; positive random variables; probability density functions; signal processing; statistical communications theory; Ear; Least squares approximation; Least squares methods; Performance analysis; Probability density function; Radar signal processing; Random variables; Sampling methods; Signal processing algorithms; Sonar detection;
Conference_Titel :
Communications, Computers, and Signal Processing, 1995. Proceedings., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-2553-2
DOI :
10.1109/PACRIM.1995.519439