Please use this identifier to cite or link to this item:
https://dspace.iiti.ac.in/handle/123456789/5321
| Title: | Target range estimation in OFDM radar system via kernel least mean square technique |
| Authors: | Bhatia, Vimal |
| Keywords: | Adaptive filtering;Adaptive filters;Fourier transforms;Frequency estimation;Iterative methods;Mathematical transformations;Mean square error;Orthogonal frequency division multiplexing;Radar;Range finders;Delay estimation;Kernel adaptive filtering;Ofdm radars;RKHS techniques;Sparse signal processing;Radar target recognition |
| Issue Date: | 2017 |
| Publisher: | Institution of Engineering and Technology |
| Citation: | Singh, U. K., Mitra, R., Bhatia, V., & Mishra, A. K. (2017). Target range estimation in OFDM radar system via kernel least mean square technique. Paper presented at the IET Conference Publications, , 2017(CP728) doi:10.1049/cp.2017.0409 |
| 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. © 2017 Institution of Engineering and Technology. All rights reserved. |
| URI: | https://doi.org/10.1049/cp.2017.0409 https://dspace.iiti.ac.in/handle/123456789/5321 |
| ISBN: | 9781785614217 |
| Type of Material: | Conference Paper |
| Appears in Collections: | Department of Electrical Engineering |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
Altmetric Badge: