Title :
Derivation of an analytical expression of the Gaussian model Statistical Resolution Limit
Author :
Thameri, Messaoud ; Boyer, Remy ; Abed-Meraim, Karim
Author_Institution :
TSI Dept., TELECOM ParisTech, Paris, France
Abstract :
Statistical Resolution Limit (SRL), defined as the minimal separation to resolve two closely spaced signals, is one of the important tools to evaluate a given system performance. Based on S.T. Smith´s formulation of the SRL, this paper provides a methodology to compute an approximate analytical expression of the resolution limit in the Gaussian model case. As an application, we consider the particular case of two sources located in the near field and consider the resolution limit in terms of minimum angular separation. Discussion and numerical illustrations are then given to get more insights on the proposed derivation and to validate our theoretical results.
Keywords :
Gaussian processes; approximation theory; statistical analysis; Gaussian model statistical resolution limit; analytical expression derivation; minimum angular separation; Direction-of-arrival estimation; Equations; Mathematical model; Signal resolution; Signal to noise ratio; Taylor series; Vectors; CRB; Gaussian model; NFL; SRL;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6638721