SINR analysis of multi-waveform STAP

Author

Blunt, Shannon D. ; Metcalf, Justin ; Jakabosky, John ; Himed, Braham

Author_Institution

Electr. Eng. & Comput. Sci. Dept., Univ. of Kansas, Lawrence, KS, USA

fYear

2014

Firstpage

1

Lastpage

6

Abstract

A multi-waveform version of space-time adaptive processing denoted as MuW-STAP (or simply μ-STAP) was recently developed that incorporates the training data generated by secondary waveform/filter pairs into the estimation of the sample covariance matrix. This additional training data was found to improve robustness to heterogeneous clutter. Here SINR analysis is used to evaluate the μ-STAP approach under various clutter conditions and with multiple additional sets of training data obtained through the use of multiple different pulse compression filters applied to the same received data.

Keywords

MIMO radar; adaptive filters; covariance matrices; pulse compression; radar clutter; radar signal processing; signal denoising; space-time adaptive processing; μSTAP; MIMO radar; MuW-STAP; covariance matrix estimation; heterogeneous clutter; multiwaveform STAP SINR analysis; pulse compression filter; secondary filter; secondary waveform; space-time adaptive processing; Clutter; Convergence; Doppler effect; Matched filters; Signal to noise ratio; Training data; GMTI; MIMO; STAP;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference (Radar), 2014 International

Type

conf

DOI

10.1109/RADAR.2014.7060341

Filename

7060341