Target detecting in sea clutter with echo state network

Authors

Z. Xu, College of Electronic Science and Engineering, National University of Defense Technology, Changsha, 410073, ChinaFollow
J.W. Wan

Author Country (or Countries)

China

Abstract

This paper use echo state network (ESN), feedforward echo state network (FE-ESN) and tapped delay line with inputs (TDL-I) to predict the sea clutter time series and detect target embedded in sea clutter. The performance of predicting and detecting using these methods is compared. A set of time series from IPIX radar data is tested. Numerical experiments reveal that FE-ESN and TDL-I show high prediction precision and good detection effect as same as ESN. Furthermore, FE-ESN and TDL-I have simplication architecture.

Suggested Reviewers

N/A

Recommended Citation

Xu, Z. and Wan, J.W. (2012) "Target detecting in sea clutter with echo state network," Applied Mathematics & Information Sciences: Vol. 06: Iss. 3, Article 23.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol06/iss3/23