DocumentCode
3185824
Title
Prospective application of neural networks in superresolution radars
Author
Zhu, Zhaoda ; She, Zhishun
Author_Institution
Dept. of Electron. Eng., Nanjing Aeronaut. Inst., China
fYear
1992
fDate
18-22 May 1992
Firstpage
284
Abstract
The concept of superresolution radars is demonstrated in the context of radar detection of multiple targets using array processing and superresolution range-Doppler imaging of a commercial aircraft, the boeing-727. The extreme computational complexity involved in the superresolution radar is discussed. The use of artificial neural networks in future superresolution radars is highlighted
Keywords
Doppler effect; aerospace computing; array signal processing; computational complexity; ground support systems; image processing; neural nets; radar systems; radar theory; signal detection; aircraft; array processing; artificial neural networks; boeing-727; computational complexity; multiple targets; radar detection; superresolution radars; superresolution range-Doppler imaging; Doppler radar; Intelligent networks; Matched filters; Neural networks; Radar antennas; Radar applications; Radar detection; Radar imaging; Signal resolution; Spatial resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace and Electronics Conference, 1992. NAECON 1992., Proceedings of the IEEE 1992 National
Conference_Location
Dayton, OH
Print_ISBN
0-7803-0652-X
Type
conf
DOI
10.1109/NAECON.1992.220606
Filename
220606
Link To Document