Title :
Iterative Space-Time Adaptive Processing
Author :
Li, J. ; Zhu, X. ; Stoica, P. ; Rangaswamy, M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Florida, Gainesville, FL
Abstract :
To reduce the need of secondary data and/or accurate prior knowledge of the clutter statistics in space-time adaptive processing (STAP), we present herein a user parameter-free and secondary data-free fully automatic weighted least squares based iterative adaptive approach (IAA) to angle-Doppler imaging for airborne surveillance radar systems.
Keywords :
Doppler radar; airborne radar; iterative methods; least mean squares methods; radar clutter; radar signal processing; search radar; space-time adaptive processing; airborne surveillance radar system; angle-Doppler imaging; automatic weighted least square method; clutter statistics; iterative adaptive approach; iterative space-time adaptive processing; Clutter; Covariance matrix; Degradation; Force sensors; Information technology; Iterative methods; Matched filters; Object detection; Signal representations; Statistics;
Conference_Titel :
Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009. DSP/SPE 2009. IEEE 13th
Conference_Location :
Marco Island, FL
Print_ISBN :
978-1-4244-3677-4
Electronic_ISBN :
978-1-4244-3677-4
DOI :
10.1109/DSP.2009.4785964
