Title :
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
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;
Conference_Titel :
Military Communications Conference, 1995. MILCOM '95, Conference Record, IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-2489-7
DOI :
10.1109/MILCOM.1995.483292
