English
Related papers

Related papers: New Algorithm for Structured OFDM Channel Estimati…

200 papers

We propose a novel receiver for orthogonal frequency division multiplexing (OFDM) transmissions in impulsive noise environments. Impulsive noise arises in many modern wireless and wireline communication systems, such as Wi-Fi and powerline…

Information Theory · Computer Science 2015-06-16 Marcel Nassar , Philip Schniter , Brian L. Evans

This paper proposes a low-complexity algorithm for blind equalization of data in OFDM-based wireless systems with general constellations. The proposed algorithm is able to recover data even when the channel changes on a symbol-by-symbol…

Information Theory · Computer Science 2015-06-05 Tareq Y. Al-Naffouri , Ala Dahman , Muhammad S. Sohail , Weiyu Xu , Babak Hassibi

Orthogonal delay-Doppler (DD) division multiplexing (ODDM) has been recently proposed as a promising multicarrier modulation scheme to tackle Doppler spread in high-mobility environments. Accurate channel estimation is of paramount…

Signal Processing · Electrical Eng. & Systems 2024-07-10 Yaru Shan , Akram Shafie , Jinhong Yuan , Fanggang Wang

We derive the mathematical equations required for channel estimation and data detection of filter bank multi-carrier (FBMC) offset quadrature amplitude modulation (OQAM) systems with affine precoding and decoding. The mean square error…

Signal Processing · Electrical Eng. & Systems 2020-09-03 Radhashyam Patra , Arunanshu Mohapatra

The acquisition of channel state information (CSI) is essential in MIMO-OFDM communication systems. Data-aided enhanced receivers, by incorporating domain knowledge, effectively mitigate performance degradation caused by imperfect CSI,…

Information Theory · Computer Science 2025-04-22 Xinjie Li , Jing Zhang , Xingyu Zhou , Chao-Kai Wen , Shi Jin

With the emergence of new applications (e.g., extended reality and haptics), which require to be simultaneously served not just with low latency and sufficient reliability, but also with high spectral efficiency, future networks (i.e., 6G)…

Signal Processing · Electrical Eng. & Systems 2020-03-06 Jehad M. Hamamreh , Abdulwahab Hajar , Mohamedou Abewa

In this paper, we propose a low-complexity channel estimation scheme of affine frequency division multiplexing (AFDM) based on generalized complex exponential basis expansion model (GCE-BEM) over doubly selective channels. The GCE-BEM is…

Signal Processing · Electrical Eng. & Systems 2025-09-16 Limin Liu , Zhe Li , Qihao Peng , Qu Luo , Pei Xiao , Haowei Wu

The mitigation of nonlinear distortion caused by power amplifiers (PA) in Orthogonal Frequency Division Multiplexing (OFDM) systems is an essential issue to enable energy efficient operation. In this work we proposed a new algorithm for…

Information Theory · Computer Science 2015-07-02 Wasim Amjad , Javier García , Jawad Munir , Amine Mezghani , Josef A. Nossek

Orthogonal time frequency space (OTFS) modulation is a recently introduced multiplexing technique designed in the 2-dimensional (2D) delay-Doppler domain suited for high-Doppler fading channels. OTFS converts a doubly-dispersive channel…

Information Theory · Computer Science 2018-05-08 M. Kollengode Ramachandran , A. Chockalingam

In this paper, we propose a study of performance of the channel estimation using LS, MMSE, LMMSE and Lr-LMMSE algorithms in OFDM (Orthogonal Frequency Division Multiplexing) system which, as known suffers from the time variation of the…

Other Computer Science · Computer Science 2012-02-09 Aida Zaier , Ridha Bouallegue

Nonlinear distortion in power amplifiers (PA) can significantly degrade performance of orthogonal frequency division multiplexed (OFDM) communication systems. This paper presents a joint maximum-likelihood channel frequency response and…

Information Theory · Computer Science 2016-12-30 Sergey V. Zhidkov

This paper introduces an expectation-maximization (EM) algorithm within a wavelet domain Bayesian framework for semi-blind channel estimation of multiband OFDM based UWB communications. A prior distribution is chosen for the wavelet…

Networking and Internet Architecture · Computer Science 2007-08-13 Sajad Sadough , Mahieddine Ichir , Emmanuel Jaffrot , Pierre Duhamel

In this work, a new Bayesian framework for OFDM channel estimation is proposed. Using Jaynes' maximum entropy principle to derive prior information, we successively tackle the situations when only the channel delay spread is a priori known,…

Information Theory · Computer Science 2008-11-06 Romain Couillet , Merouane Debbah

Deep learning models for channel estimation in Orthogonal Frequency Division Multiplexing (OFDM) systems often suffer from performance degradation under fast-fading channels and low-SNR scenarios. To address these limitations, we introduce…

Machine Learning · Computer Science 2025-05-15 Berkay Guler , Hamid Jafarkhani

In frequency division duplex (FDD) massive MIMO systems, reliable downlink channel estimation is essential for the subsequent data transmission but is realized at the cost of massive pilot overhead due to hundreds of antennas at base…

Signal Processing · Electrical Eng. & Systems 2022-11-01 An Chen , Wenbo Xu , Liyang Lu , Yue Wang

We present a channel spectral estimator for OFDM signals containing pilot carriers, assuming a known delay spread or a bound on this parameter. The estimator is based on modeling the channel's spectrum as a band-limited function, instead of…

Information Theory · Computer Science 2014-05-16 J. Selva

In orthogonal frequency-division multiplexing (OFDM) systems operating over rapidly time-varying channels, the orthogonality between subcarriers is destroyed leading to inter-carrier interference (ICI) and resulting in an irreducible error…

Information Theory · Computer Science 2009-11-03 Erdal Panayirci , Hakan Dogan , H. Vincent Poor

Affine Frequency Division Multiplexing (AFDM) is a brand new chirp-based multi-carrier (MC) waveform for high mobility communications, with promising advantages over Orthogonal Frequency Division Multiplexing (OFDM) and other MC waveforms.…

Information Theory · Computer Science 2025-05-06 Rongyou Cao , Yuheng Zhong , Jiangbin Lyu , Deqing Wang , Liqun Fu

The use of low-resolution analog-to-digital converters (ADCs) can significantly reduce power consumption and hardware cost. However, their resulting severe nonlinear distortion makes reliable data transmission challenging. For orthogonal…

Information Theory · Computer Science 2019-01-31 Hanqing Wang , Wan-Ting Shih , Chao-Kai Wen , Shi Jin

Semantic communication (SemCom) has received considerable attention for its ability to reduce data transmission size while maintaining task performance. However, existing works mainly focus on analog SemCom with simple channel models, which…

Signal Processing · Electrical Eng. & Systems 2024-01-05 Chuanhong Liu , Caili Guo , Yang Yang , Wanli Ni , Tony Q. S. Quek
‹ Prev 1 4 5 6 7 8 10 Next ›