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. © 2017 Institution of Engineering and Technology. All rights reserved.