Application of pulse compression with a Doppler shift using neural network

Author

Kong, Xiangwei ; Huang, Shen

Author_Institution

Dalian Univ. of Technol., China

fYear

2001

fDate

2001

Firstpage

520

Lastpage

523

Abstract

Common biphase pulse compression techniques were not very robustness against Doppler distortions, and the peak signal-to-noise ratio of these methods was not very high. Kwan and Lee (1993) presented a pulse compression approach by using a neural network. A 40 dB peak signal-to-noise ratio can be achieved. Based on Kwan and Lee´s method, we present an improved BP (backpropagation) algorithm. The robustness against Doppler distortions and the output peak signal-to-noise ratio of the improved algorithm are examined. The improved method get a 50 dB output peak signal-to-noise ratio, about 10 dB higher than Kwan and Lee´s method. The improved method also has a better Doppler resistance ability

Keywords

Doppler shift; backpropagation; neural nets; pulse compression; radar computing; radar signal processing; Doppler distortions; Doppler resistance; Doppler shift using neural network; backpropagation algorithm; biphase pulse compression; neural network; peak signal-to-noise ratio; Doppler radar; Doppler shift; Matched filters; Modems; Multi-layer neural network; Neural networks; Noise robustness; Nonlinear distortion; PSNR; Pulse compression methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 2001 CIE International Conference on, Proceedings

Conference_Location

Beijing

Print_ISBN

0-7803-7000-7

Type

conf

DOI

10.1109/ICR.2001.984764

Filename

984764