Markov model for convergence analysis of the adaptive Kronecker MIMO OTH radar beamformer

Author

Abramovich, Yuri I. ; Frazer, Gordon J. ; Johnson, Ben A.

Author_Institution

ISR Div., Defence Sci. & Technol. Organ., Edinburgh, SA, Australia

fYear

2010

fDate

10-14 May 2010

Firstpage

1

Lastpage

5

Abstract

We introduce an iterative procedure for design of adaptive KL-variate linear beamformers that are structured as the Kronecker product of K-variate (transmit) and L-variate (receive) beamformers. Focusing on MIMO radar applications for scenarios where only joint transmit and receive adaptive beamforming can efficiently mitigate multi-mode propagated backscatter interference, we introduce a Markov model for the adaptive iterative routine, specify its convergence condition, and derive final (stable) signal-to-interference-plus-noise ratio (SINR) performance characteristics. Simulation results demonstrate high accuracy of the analytical derivations.

Keywords

MIMO radar; Markov processes; array signal processing; backscatter; convergence; interference (signal); Markov model; SINR; adaptive KL-variate linear beamformer; adaptive Kronecker MIMO OTH radar beamformer; adaptive beamforming; backscatter interference; convergence analysis; signal-to-interference-plus-noise ratio; Antennas and propagation; Array signal processing; Australia; Clutter; Convergence; Filters; MIMO; Radar; Receiving antennas; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar Conference, 2010 IEEE

Conference_Location

Washington, DC

ISSN

1097-5659

Print_ISBN

978-1-4244-5811-0

Type

conf

DOI

10.1109/RADAR.2010.5494664

Filename

5494664