Detection performance with improved principal component analysis for MIMO radar

Author

Weiwei, Liu ; Ning, Cao ; Lu, Hao ; Hu, Jurong

Author_Institution

Electr. Eng. Dept., Hohai Univ., Nanjing, China

fYear

2011

fDate

15-17 April 2011

Firstpage

4916

Lastpage

4919

Abstract

Motivated by the development of MIMO communication, Multiple-Input Multiple-Output (MIMO) radar has drawn considerable attention. Currently, most articles about MIMO Radar analysis focus on angle diversity, the article investigates principal component analysis used in MIMO Radar detection, further studies the performance of transformation of logarithm as its improvement. The simulation results indicates that the method used in this paper can approach to the original target simulation results, meanwhile this method reduces computation complexity and saves computation time.

Keywords

MIMO radar; computational complexity; object detection; principal component analysis; radar detection; MIMO radar detection; angle diversity; computation complexity; detection performance; logarithm transformation; multiple-input multiple-output radar detection; principal component analysis; target simulation result; Computers; MIMO; MIMO radar; Manganese; Radar antennas; Radar imaging; Multiple-Input Multiple-Output Radar; Neyman-Pearson rule; principal component analysis; target detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Information and Control Engineering (ICEICE), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-8036-4

Type

conf

DOI

10.1109/ICEICE.2011.5777188

Filename

5777188