A comparison of performance metrics far two robust locally optimum detectors

Author

Jacklin, William E. ; Ucci, Donald R.

Author_Institution

Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA

Volume

1

fYear

1995

fDate

35009

Firstpage

165

Abstract

This paper compares the well-known locally optimum (LO) performance metrics of efficacy (ξ) and asymptotic relative efficiency (ARE) for two types of robust LO detectors. In particular, closed-form expressions for these metrics are derived for the histogram and Fourier series approximation (FSA) implementation algorithms. Additionally, they are evaluated for the case of Cauchy noise and compared to results given in the literature. Thus, simulation analysis is no longer the only method for determining robust LO detector performance

Keywords

Fourier series; approximation theory; noise; signal detection; Cauchy noise; Fourier series approximation; algorithms; asymptotic relative efficiency; closed-form expressions; detector performance; efficacy; histogram; performance metrics; robust locally optimum detectors; Analytical models; Closed-form solution; Detection algorithms; Detectors; Fourier series; Histograms; Measurement; Noise robustness; Performance analysis; Signal detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Military Communications Conference, 1995. MILCOM '95, Conference Record, IEEE

Conference_Location

San Diego, CA

Print_ISBN

0-7803-2489-7

Type

conf

DOI

10.1109/MILCOM.1995.483292

Filename

483292