Pregled bibliografske jedinice broj: 244531
Estimating Number of Sub-Gaussian Emitters in a Narrowband DOA Estimation Problem by Using Independent Component Analysis
Estimating Number of Sub-Gaussian Emitters in a Narrowband DOA Estimation Problem by Using Independent Component Analysis // Proceedings of the 2005 IEEE Symposium on Antennas and Propagation
Washington D.C., Sjedinjene Američke Države: Institute of Electrical and Electronics Engineers (IEEE), 2005. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Estimating Number of Sub-Gaussian Emitters in a Narrowband DOA Estimation Problem by Using Independent Component Analysis
Autori
Kopriva, Ivica ; Wasylkiwskyj, Wasyl
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 2005 IEEE Symposium on Antennas and Propagation
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2005
Skup
2005 IEEE Symposium on Antennas and Propagation
Mjesto i datum
Washington D.C., Sjedinjene Američke Države, 03.07.2005. - 08.07.2005
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Direction finding; Sub-Gaussian emitters; independent componenta analysis; array antennas
Sažetak
Accurate determination of the number of emitters is an important and nontrivial problem in direction of arrival (DOA) estimation. The energy criterion based on singular values of the sampled data covariance matrix requires either a-priori knowledge of the signal to noise ratio (SNR) or the noise energy itself. More refined approaches, such as the Akaike information criterion (AIC) and the minimum description length (MDL) criterion fail when the signals are non-Gaussian. Thus, they are inapplicable to DOA estimation of communication signals, which generally tend to be non– Gaussian. The approach presented herein is based on independent component analysis (ICA). The information bearing source signals, obtained by blind source separation (BSS), are identified through measuring the distance from Gaussianity. A fixed threshold parameter in the kurtosis domain is used which can be set to accommodate a wide range of SNRs and data sample sizes.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Ivica Kopriva
(autor)