Model-based Adaptive Target Detection in Clutter Using MIMO Radar

Author

Sheikhi, Abbas ; Zamani, Ali ; Norouzi, Yaser

Author_Institution

Dept. of Electr. Eng., Shiraz Univ.

fYear

2006

fDate

16-19 Oct. 2006

Firstpage

1

Lastpage

4

Abstract

In this paper the problem of target detection using coherent pulse terrain in auto regressive (AR) clutter has been considered for MIMO radars. We have formulated this problem as a hypothesis test. Using the generalized likelihood ratio test (GLRT) an adaptive decision scheme has been developed for clutter with known order but unknown parameters. The performance of the proposed detectors have been evaluated using Monte-Carlo simulations. The results show the superiority of the MIMO radars with temporal coherent processing over the conventional phased arrays due to both angular spread and a newly presented phenomenon which is called Doppler spread in this paper

Keywords

Doppler radar; MIMO communication; Monte Carlo methods; autoregressive processes; maximum likelihood detection; radar clutter; radar detection; radar target recognition; Doppler spread; GLRT; MIMO radars; Monte-Carlo simulation; adaptive decision scheme; adaptive target detection; autoregressive clutter; coherent pulse terrain; generalized likelihood ratio test; hypothesis test; multiple input multiple output; Doppler radar; MIMO; Object detection; Radar antennas; Radar clutter; Radar detection; Receiving antennas; Testing; Transmitters; Transmitting antennas; Adaptive Detection; MIMO Radar; Model Based Detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 2006. CIE '06. International Conference on

Conference_Location

Shanghai

Print_ISBN

0-7803-9582-4

Electronic_ISBN

0-7803-9583-2

Type

conf

DOI

10.1109/ICR.2006.343477

Filename

4148478