Vehicular position tracking using LTE signals

M Driusso, C Marshall, M Sabathy… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
This paper proposes and validates, in the field, an approach for position tracking that is
based on Long-Term Evolution (LTE) downlink signal measurements. A setup for real data …

Performance comparison of time-of-arrival estimation techniques for LTE signals in realistic multipath propagation channels

P Wang, YJ Morton - NAVIGATION: Journal of the Institute of Navigation, 2020 - navi.ion.org
Long term evolution (LTE) signals have the potential for use in positioning, especially in
challenging environments. The time-of-arrival (TOA)-based technique supported by LTE is …

Utilization of non-coherent accumulation for LTE TOA estimation in weak LOS signal environments

J Tian, L Fangchi, T Yafei, L Dongmei - EURASIP Journal on Wireless …, 2023 - Springer
Ground localization systems based on cellular signals are vulnerable to the hazards of
signal power attenuation and multipath propagation in urban environments. Non-coherent …

Misspecified Cramer–Rao bounds for blind channel estimation under channel order misspecification

K Abed-Meraim, NL Trung - IEEE Transactions on Signal …, 2021 - ieeexplore.ieee.org
In estimation, the misspecified Cramer–Rao bound (MCRB), which is an extension of the
well-known Cramer–Rao bound (CRB) when the underlying system model is misspecified …

[图书][B] Kernel methods for nonlinear identification, equalization and separation of signals

SV Vaerenbergh - 2010 - repositorio.unican.es
In the last decade, kernel methods have become established techniques to perform
nonlinear signal processing. Thanks to their foundation in the solid mathematical framework …

Blind identification of SIMO Wiener systems based on kernel canonical correlation analysis

S VanVaerenbergh, J Via… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
We consider the problem of blind identification and equalization of single-input multiple-
output (SIMO) nonlinear channels. Specifically, the nonlinear model consists of multiple …

Sparsity-aware sphere decoding: Algorithms and complexity analysis

S Barik, H Vikalo - IEEE Transactions on Signal Processing, 2014 - ieeexplore.ieee.org
Integer least-squares problems, concerned with solving a system of equations where the
components of the unknown vector are integer-valued, arise in a wide range of applications …

Tensor-based efficient multi-interferer RFI excision algorithms for SIMO systems

TM Getu, W Ajib, OA Yeste-Ojeda - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Radio frequency interference (RFI) is causing performance loss in microwave radiometry,
radio astronomy, and satellite communications. As the number of interferers increases, the …

Efficient non-pilot-aided channel length estimation for digital broadcasting receivers

X Wang, HC Wu, SY Chang, Y Wu… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
Channel estimation and equalization techniques are crucial for the ubiquitous broadcasting
systems. Conventional receivers for most broadcasting or wireless standards preset the …

[PDF][PDF] 基于子空间分解的信道阶数估计算法

代松银, 袁嗣杰, 董书攀 - 电子学报, 2010 - ejournal.org.cn
提出一种新的基于子空间分解的信道阶数估计算法. 首先基于子空间分解,
将观测向量自相关矩阵的几何子空间按照某一正整数La 分解为“信号” 子空间和“噪声” 子空间 …