Wireless Channel Models for Maritime Communications
نویسندگان
چکیده
منابع مشابه
Propagation Channel Models for Next-Generation Wireless Communications Systems
As new systems and applications are introduced for next-generation wireless systems, the propagation channels in which they operate need to be characterized. This paper discusses propagation channels for four types of next-generation systems: (i) distributed MIMO and Cooperative MultiPoint (CoMP), systems, which require the characterization of correlation between properties of links from a mobi...
متن کاملSpace-Time Channel Modeling for Wireless Communications
The relatively recent surge in activity centered around multiple-input multiple-output (MIMO) techniques for wireless communications is based on capacity gains obtained by more fully exploiting the spatial and temporal aspects of wireless channels. The early indications moving to the use of multiple transmitters and multiple receiver elements could lead to quite significant performance improvem...
متن کاملChannel Estimation for Wireless OFDM Communications
1.1 Preliminary Orthogonal frequency-division multiplexing (OFDM) communication techniques have recently received significant research attention because of their ability to maintain effective transmission and highly efficient bandwidth utilization in the presence of various channel impairments, such as severely frequency-selective channel fades caused by long multipath delay spreads and impulsi...
متن کاملAdaptive Channel Equalization for Wireless Personal Communications
In this paper, a new adaptive H1 filtering algorithm is developed to recursively update the tap-coefficient vector of a decision feedback equalizer (DFE) in order to adaptively equalize the time-variant dispersive fading channel of a high-rate indoor wireless personal communication system. Different from conventional L2 [such as the recursive least squares (RLS)] filtering algorithms which mini...
متن کاملAdaptive Channel Modeling for MIMO Wireless Communications
The application of state-space-based subspace system identification methods to training-based estimation for timevarying MIMO frequency-selective channels is explored with the motivation of possible parsimonious parametrization and direct model complexity control. The comparison between the statespace-based channel estimation algorithm and the FIR-based RLS algorithm shows the former is a more ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2018
ISSN: 2169-3536
DOI: 10.1109/access.2018.2879902