Radar signal detection via ARMA modeling

Autor:	N.H. Younan, B.J. Skinner, S.W. Dahlgren
Rok vydání:	2002
Předmět:	Statistics::Theory Computer science Spectral density estimation White noise Signal symbols.namesake Additive white Gaussian noise Gaussian noise Electronic engineering symbols Autoregressive–moving-average model Radar signal detection Algorithm Phase-shift keying
Zdroj:	Proceedings of the Twenty-Seventh Southeastern Symposium on System Theory.
Popis:	A phase shift keyed (PSK) spread spectrum radar signal is analyzed using autoregressive moving average (ARMA) spectral estimation techniques. In general, the ARMA model achieves better PSD estimates and higher resolution than the traditional techniques. Results for simulated spread spectrum radar signals of various lengths in additive white Gaussian noise are presented and a comparison with traditional PSD techniques is made to ascertain the validity of the ARMA model. >
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::46b6b8204e8e33953d1620286392aefd https://doi.org/10.1109/ssst.1995.390544 Zobrazit plný text záznamu