@inproceedings{94ac1b24b30e4debbb47c865ea1edb6e,
title = "Target range estimation in OFDM radar system via kernel least mean square technique",
abstract = "Estimating range and velocity of a target is an integral part of radar systems. The orthogonal frequency division multiplex (OFDM) radar system exhibits inherent non-linearity which makes the accurate estimation of target's range and velocity hard to evaluate via conventional linear estimation technique like Fourier transform (FT). In this paper, a novel iterative non-linear kernel least mean square (KLMS) based estimation technique for target range estimation is proposed. Simulations demonstrate convergence of the proposed KLMS based estimator to a lower mean square error floor as compared to the existing FT based estimator.",
keywords = "Delay estimation, Fourier transform, Kernel adaptive filtering, OFDM radar, RKHS techniques, Sparse signal processing",
author = "Singh, \{U. K.\} and R. Mitra and V. Bhatia and Mishra, \{A. K.\}",
note = "Publisher Copyright: {\textcopyright} 2017 Institution of Engineering and Technology. All rights reserved.; 2017 International Conference on Radar Systems, Radar 2017 ; Conference date: 23-10-2017 Through 26-10-2017",
year = "2018",
month = may,
day = "28",
doi = "10.1049/cp.2017.0409",
language = "English",
isbn = "9781785615078",
series = "IET Conference Publications",
publisher = "Institution of Engineering and Technology",
number = "CP728",
booktitle = "IET Conference Publications",
address = "United Kingdom of Great Britain and Northern Ireland",
edition = "CP728",
}