Radar signal detection via ARMA modeling

Author

Dahlgren, S.W. ; Younan, N.H. ; Skinner, B.J.

Author_Institution

Department of Electr. & Comput. Eng., MS, USA

fYear

1995

fDate

12-14 Mar 1995

Firstpage

436

Lastpage

440

Abstract

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

Keywords

Gaussian noise; autoregressive moving average processes; phase shift keying; radar detection; radar signal processing; spread spectrum radar; white noise; ARMA modeling; ARMA spectral estimation; PSD estimates; additive white Gaussian noise; autoregressive moving average; phase shift keyed spread spectrum radar signal; radar signal detection; simulated spread spectrum radar signals; Band pass filters; Bandwidth; Frequency; Phase shift keying; Radar detection; Signal analysis; Signal detection; Signal processing; Signal to noise ratio; Spread spectrum radar;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 1995., Proceedings of the Twenty-Seventh Southeastern Symposium on

Conference_Location

Starkville, MS

ISSN

0094-2898

Print_ISBN

0-8186-6985-3

Type

conf

DOI

10.1109/SSST.1995.390544

Filename

390544