Results 251 to 260 of about 5,046,998 (306)

RCNet: Incorporating Structural Information Into Deep RNN for Online MIMO-OFDM Symbol Detection With Limited Training

IEEE Transactions on Wireless Communications, 2020
In this paper, we investigate online learning-based MIMO-OFDM symbol detection strategies focusing on a special recurrent neural network (RNN) – reservoir computing (RC).
Zhou Zhou, Lingjia Liu, Shashank Jere, Jianzhong Zhang, Y. Yi   +4 more
semanticscholar   +1 more source

Multi-symbol detection of M-DPSK

IEEE Global Telecommunications Conference, 1989, and Exhibition. 'Communications Technology for the 1990s and Beyond, 2003
The authors discuss optimal and suboptimal detection methods for improving the error performance when M-ary DPSK (differential phase shift keying) modulation is employed. All procedures use a block of N+1 measurements to produce N data decisions. The motivation is to lessen the energy penalty associated with classical DPSK detection and to approach the
S.G. Wilson, J. Freebersyser, C. Marshall   +2 more
openaire   +1 more source

Uplink Symbol Detection in Dynamic TDD Mimo Systems with AP-AP Interference

IEEE International Conference on Acoustics, Speech, and Signal Processing
We consider a MIMO communication system operating in dynamic time-division duplex, where one uplink (UL) access point (AP) detects information symbols transmitted from UL users (UEs) in the presence of AP-AP interference (AAI) caused by the signal a ...
Martin Andersson, T. T. Vu, Pål K. Frenger, Erik G. Larsson   +3 more
semanticscholar   +1 more source

Compressive symbol detection via template matching

2017 International Conference on Information and Communication Technology Convergence (ICTC), 2017
In this paper, we consider a method to detect digital modulated symbols from compressively sampled measurements in digital communication system. We describe a method to build a dictionary matrix considering signal modulations, and propose a template matching based algorithm which is effective to recover the information symbols using the dictionary.
Jae-Hyuck Park, Yookyung Kim, Seonghyun Kim   +2 more
openaire   +1 more source

Anomaly Detection Using Symbolic Algebra

2019
Optimized and custom arithmetic circuits are widely used in embedded systems such as multimedia applications, cryptography systems, signal processing, and console games. Verification of arithmetic circuits is a challenge due to increasing complexity coupled with non-standard implementations.
Farimah Farahmandi, Yuanwen Huang, Prabhat Mishra   +2 more
openaire   +1 more source

Reservoir Computing Meets Wi-Fi in Software Radios: Neural Network-based Symbol Detection using Training Sequences and Pilots

Wireless and Optical Communications Conference, 2020
In this paper, we introduce a neural network (NN)based symbol detection scheme for Wi-Fi systems and its associated hardware implementation in software radios. To be specific, reservoir computing (RC), a special type of recurrent neural network (RNN), is
Lianjun Li, Lingjia Liu, Jianzhong Zhang, J. Ashdown, Y. Yi   +4 more
semanticscholar   +1 more source

Space–Time Block Codes With Symbol-by-Symbol Maximum-Likelihood Detections

IEEE Journal of Selected Topics in Signal Processing, 2009
This paper presents a new set of quasi-orthogonal space-time block codes (QOSTBCs) with symbol-by-symbol maximum-likelihood (ML) detections for four Tx antennas over quasi-static Rayleigh fading channels. Each of the codes is analytically proved to achieve full transmit diversity and the same coding gains as the rate-1 coordinate-interleaved orthogonal
Ming-Yang Chen, John M. Cioffi
openaire   +2 more sources

Low-Complexity Symbol Detection for Index Modulated Massive MIMO Systems

2020 Advanced Communication Technologies and Signal Processing (ACTS), 2020
Massive MIMO is a key technology to achieve unprecedented growth in data rates and energy efficiency for 5G and beyond wireless systems. However, to achieve the potential benefits of massive-MIMO (mMIMO) along with a higher data rate, each user equipment
Manish Mandloi, S. Sharma, P. Pattanayak, D. Gurjar   +3 more
semanticscholar   +1 more source

Symbol Detection in presence of Symbol Timing Offset using Machine Learning Technique

International Conference on Recent Advances and Innovations in Engineering, 2020
Orthogonal frequency division multiplexing is a multicarrier digital modulation technique that is extensively used in modern wireless communication systems. This technique is very sensitive to synchronization errors.
Sathwic Somarouthu, S. Manam, Arpitha Thakre   +2 more
semanticscholar   +1 more source

ViterbiNet: Symbol Detection Using a Deep Learning Based Viterbi Algorithm

International Workshop on Signal Processing Advances in Wireless Communications, 2019
Symbol detection plays an important role in the implementation of digital receivers. One of the most common symbol detection schemes is the Viterbi algorithm, which is capable of achieving the minimal probability of error under a broad range of channels ...
Nir Shlezinger, Yonina C. Eldar, N. Farsad, A. Goldsmith   +3 more
semanticscholar   +1 more source