Sparse sampling based compensation method for FLAR

Author

Jinhui, Liu ; Guisheng, Liao

Author_Institution

Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China

fYear

2011

fDate

14-16 Sept. 2011

Firstpage

1

Lastpage

4

Abstract

A sparse sampling based compensation (SSBC) method is proposed in this letter. The complex amplitudes (CAs) of clutter scatterers, which are larger than the sampling threshold (ST), are sampled along the direction Doppler curve (DDC) of each range cell. Then, the covariance matrix of each range cell is reconstructed by using the sampled clutter scatterers to mitigate the range-dependence problem in the forward-looking airborne radar (FLAR). Finally, the computer simulation results show that the computation burden is reduced considerably by using SSBC method as well as the space-time adaptive processing (STAP) performance of FLAR is kept.

Keywords

airborne radar; radar signal processing; signal sampling; space-time adaptive processing; Doppler curve; FLAR; clutter scatterer; complex amplitude; forward looking airborne radar; sampling threshold; space time adaptive processing; sparse sampling based compensation method; Airborne radar; Azimuth; Clutter; Doppler effect; Equations; Mathematical model; Sonar navigation; Forward-Looking Airborne Radar; Space-time adaptive processing; Sparse Sampling;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on

Conference_Location

Xi´an

Print_ISBN

978-1-4577-0893-0

Type

conf

DOI

10.1109/ICSPCC.2011.6061778

Filename

6061778