Title :
A neural network algorithm for signal processing of LFMCW or IFSCW system
Author :
Li, Yang ; Feng, Zhenghe ; Xiao, Yanhong ; Huang, Jingyu
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Abstract :
An artificial neural network method for signal processing of LFMCW or LFSCW is proposed. It is based on decomposition of autocorrelation matrix. The decomposition problem is mapped into an iterative one by transforming the energy function of the Hopfield neural network. Simulation and experimental results show that this method has resolution higher than the theoretical limit of the FFT method and other popular algorithms and its SNR threshold is lower
Keywords :
CW radar; FM radar; Hopfield neural nets; correlation methods; iterative methods; matrix decomposition; radar resolution; Hopfield neural network; SNR threshold; autocorrelation matrix; decomposition problem; energy function; iterative problem; linear FMCW radar; linear FSCW radar; neural network algorithm; radar signal processing; super-resolution algorithm; Artificial neural networks; Autocorrelation; Bandwidth; Chirp modulation; Energy resolution; Frequency; Hopfield neural networks; Neural networks; Signal processing algorithms; Signal resolution;
Conference_Titel :
Microwave Conference, 1999 Asia Pacific
Print_ISBN :
0-7803-5761-2
DOI :
10.1109/APMC.1999.833739
