DocumentCode :
324046
Title :
Confidence intervals for power estimates
Author :
Dillard, George M.
Author_Institution :
Spawar Syst. Center San Diego, CA, USA
Volume :
1
fYear :
1997
fDate :
2-5 Nov. 1997
Firstpage :
925
Abstract :
Confidence intervals for power estimates based on samples of signal-plus-noise from a radar receiver are computed for true cases of interest, a fluctuating (SWII) and a nonfluctuating signal. Exact equations for computing confidence intervals for these two cases are given, along with a normal approximation for use in the steady-signal case. We show that for the fluctuating signal the width of a 95% confidence interval as a function of the number N of samples, is essentially independent of the signal-to-noise ratio (SNR) and, for fixed N and a confidence interval of /spl plusmn/1 dB, the size (in percent) of the confidence interval approaches an asymptotic value less than 100% as the SNR increases. When the signal is constant, the size of a /spl plusmn/1 dB confidence interval approaches 100% as the SNR increases.
Keywords :
estimation theory; radar signal processing; signal sampling; confidence intervals; fluctuating signal; nonfluctuating signal; normal approximation; power estimates; radar receiver; signal-plus-noise; steady-signal case; Background noise; Equations; Fluctuations; Frequency; Gaussian noise; Radar cross section; Radar scattering; Random variables; Signal to noise ratio; Storage area networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-8186-8316-3
Type :
conf
DOI :
10.1109/ACSSC.1997.680578
Filename :
680578
Link To Document :
بازگشت