Channel estimation and data detection for frequency-selective time-varying channels are
considered using superimposed training. We employ a discrete prolate spheroidal basis …

We consider doubly selective multiuser/multiple-input-multiple-output (MIMO) channel
estimation and data detection using superimposed training. The time-and frequency …

In this work an iterative time domain Least Squares (LS) based channel estimation method
using superimposed training (ST) for a Multiple Input Multiple Output Orthogonal Frequency …

In mobile orthogonal frequency division multiplexing (OFDM) systems, time-varying
channels result in severe intercarrier interference (ICI), and greatly degrade the system …

This paper investigates space-time blind equalization (BE) of dispersive multiple-input
multiple-output communication systems driven by high throughput quadrature amplitude …

日趋重要的高速移动工具, 如高速铁路, 无人驾驶飞机等, 大多都处在开阔地带.
由于视距传播的存在, 瑞利衰落模型已经不能很好地描述该环境下的信道情况 …

In broadband wireless communication, high rate data transmission and multipath
propagation results in frequency selectivity. On the other hand, high mobility contributes to …

The work presented in this paper aims to continue the progress obtained in the development
of a ray tracing based simulation platform for realistic doubly selective radio channels. This …

By analyzing the relationship between Basis Expansion Model (BEM) and Doppler
spectrum, this letter proposed a quasi-MMSE-based BEM estimation scheme for doubly …

This paper presents a least square based semi-blind channel estimation using the new
orthogonal pilot scheme for multiple-input multiple-output (MIMO) wireless communications …