Title :
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
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;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5777188