Title :
A superresolution range-Doppler imaging method via neural network completely
Author :
Jinsong, Tang ; ZhaoDa, Zhu
Author_Institution :
Dept. of Electron. Eng., Nanjing Univ. of Aeronaut. & Astronaut., China
Abstract :
This paper presents a method of superresolution range-Doppler imaging via a neural network. It is characterized by the following. (1) The forward and backward linear prediction (FBLP) equation is introduced to superresolution imaging. (2) The Tank-Hopfield (1986) network is used to solve the FBLP equation. (3) The process of data extrapolating and DFT are finished by a simple network, which is one part of the T-H network. The digital simulation shows that the method is valid
Keywords :
Doppler effect; Hopfield neural nets; discrete Fourier transforms; image resolution; prediction theory; radar computing; radar imaging; DFT; FBLP equation; Tank-Hopfield network; backward linear prediction equation; data extrapolation; digital simulation; forward linear prediction equation; neural network; superresolution range-Doppler imaging; Capacitive sensors; Covariance matrix; Digital simulation; Discrete Fourier transforms; Equations; Image recognition; Image resolution; Neural networks; Transconductance; Vectors;
Conference_Titel :
Radar, 1996. Proceedings., CIE International Conference of
Conference_Location :
Beijing
Print_ISBN :
0-7803-2914-7
DOI :
10.1109/ICR.1996.574581
