Results 121 to 130 of about 128,430 (194)

Multiple-Input Multiple-Output (MIMO) Wireless Systems

2002
Helmut B√∂lcskei, Arogyaswami Paulraj   +1 more
openaire   +2 more sources

Multiple Input Multiple Output (MIMO) Antennas

2023
The advancement of antennas that can access high data speeds, and have higher gain, is largely responsible for the advancements in wireless technology. One such antenna called the multiple input multiple output (MIMO). This antenna has attracted the utmost attention of the researchers owing to its features like higher capacity, increased data rate, low
Anindita Bhattacharjee, Anirban Karmakar, Anuradha Saha   +2 more
openaire   +1 more source

Hierarchical recursive least squares parameter estimation methods for multiple‐input multiple‐output systems by using the auxiliary models

International Journal of Adaptive Control and Signal Processing, 2023
Multiple‐input multiple‐output (MIMO) models are widely used in practical engineering. This article derives a new identification model of the MIMO system by decomposing the MIMO system into several multiple‐input single‐output subsystems. By means of the
Haoming Xing, Feng Ding, Feng Pan, Erfu Yang   +3 more
semanticscholar   +1 more source

Enhancement of Remote Vital Sign Monitoring Detection Accuracy Using Multiple-Input Multiple-Output 77 GHz FMCW Radar

IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology, 2021
Remote non-contact monitoring of human vital signs has recently received lots of attention due to the advancement and availability of millimeter wave (mmWave) radars. These sensors are significantly reduced in size, but still face serious electromagnetic
T. V. Dai, Kellen Oleksak, T. Kvelashvili, F. Foroughian, C. Bauder, P. Theilmann, A. Fathy, O. Kilic   +7 more
semanticscholar   +1 more source

Fundamental limits in sensitivity minimization: multiple-input-multiple-output (MIMO) plants

IEEE Transactions on Automatic Control, 2001
The paper deals with the problem of the smallest achievable \(H_{\infty}\) norm of various weighted sensitivity functions subject to internal closed-loop stability. These values represent fundamental limits because they are the best achievable under a minimal requirement of stability.
Brinsmead, Thomas S., Goodwin, Graham C.
openaire   +2 more sources

Statistical characterization of multiple-input multiple-output (MIMO) channel capacity

2002 IEEE Wireless Communications and Networking Conference Record. WCNC 2002 (Cat. No.02TH8609), 2003
We derive precise as well as good approximate statistical characterizations, such as probability density functions and statistical moments of capacity, for different MIMO wireless channels. The characterizations help us to understand and predict the capacity gain expected from the MIMO technique, in terms of system parameters and channel dimension.
H. Ge, K.D. Wong, M. Barton, J.C. Liberti   +3 more
openaire   +1 more source

Multiple Input Multiple Output (MIMO), Orthogonal Frequency Division Multiplexing

2021
Multi-user Massive MIMO, OFDM and other related techniques like Spatial diversity, Spatial decoupling, Ray tracing model, Beam forming, OFDM, and CDMA are discussed in this chapter.
openaire   +1 more source

Dielectric Resonator-Based Multiple-Input Multiple-Output (MIMO) Antennas

2020
This chapter discusses dielectric resonator antenna (DRA)-based multiple-input multiple-output (MIMO) antenna systems for various wireless applications with several antenna examples. A DRA supports several unique features, which makes it different from other radiating structures. The antenna acts as a backbone of a wireless communication system.
Gourab Das, Ravi Kumar Gangwar
openaire   +1 more source

An energy-efficient multiple-input multiple-output (MIMO) detector architecture

2011 IEEE Workshop on Signal Processing Systems (SiPS), 2011
In this paper, a novel low complexity energy efficient recon-figurable reduced dimension maximum likelihood (RRDML) multiple-input multiple-output (MIMO) detector is proposed. RRDML is based on RDML [1], in which maximum likelihood (ML) is applied to detect a sub-dimension of the received vector and linear detection is used for the remaining dimension.
Eric P. Kim, Naresh R. Shanbhag
openaire   +1 more source

A review on massive Multiple-Input Multiple-Output (MIMO) system’s combiners

2021
Massive multiple-input multiple-output (MIMO) technology for wireless communication is considered a key technology for the future fifth-generation (5G) communication networks. To reduce the propagation loss of channel, MIMO systems with analog or digital hybrid precoders and ...
Garima Kulshreshtha, Usha Chauhan
openaire   +1 more source