Efficient Signal Detection Methods for High Mobility OFDM System with Transmit Diversity

2018 ◽  
Vol 44 (3) ◽  
pp. 1769-1778
Author(s):  
Jyoti P. Patra ◽  
Poonam Singh
Keyword(s):  
Signal Detection ◽  
High Mobility ◽  
Transmit Diversity ◽  
Detection Methods ◽  
Ofdm System

A Novel LMMSE-EM Channel Estimator for High Mobility STBC-OFDM System

2019 ◽  
Vol 28 (13) ◽  
pp. 1950223 ◽  
Author(s):  
Jyoti Prasanna Patra ◽  
Poonam Singh
Keyword(s):  
Computational Complexity ◽  
Signal Detection ◽  
Orthogonal Frequency Division Multiplexing ◽  
Minimum Mean Square Error ◽  
A Priori ◽  
High Mobility ◽  
Low Complexity ◽  
Least Square ◽  
Accurate Estimation ◽  
Ofdm System

In time-selective fading channel, the Alamouti orthogonality principle is lost due to the variation of channel from symbol-to-symbol in space–time block-coded orthogonal frequency division multiplexing (STBC-OFDM) system and causes co-channel interference (CCI) effects. To combat the CCI effects, various signal detection schemes have been proposed earlier by assuming that a priori channel state information (CSI) is known to the receiver. However, in practice, the CSI is unknown and therefore accurate estimation of channel is required for efficient signal detection. In this paper, by exploiting circulant properties of the channel frequency response (CFR) autocorrelation matrix [Formula: see text], we propose an efficient low complexity linear-minimum-mean-square-error (LMMSE) estimator. This estimator applies an expectation–maximization (EM) iterative process to reduce the computational complexity significantly. Finally, we compare the proposed LMMSE-EM estimator with conventional least square (LS) and LMMSE estimator in terms of performance and computational complexity. The simulation results show that the proposed LMMSE-EM estimator achieves exactly the same performance as the optimal LMMSE estimator with much lower computational complexity.

Training Sequence Design for Low Complexity Channel Estimation in Transmit Diversity TDS-OFDM System

2009 ◽  
Vol E92-B (6) ◽  
pp. 2308-2311 ◽  
Author(s):  
Fang YANG ◽  
Kewu PENG ◽  
Jun WANG ◽  
Jian SONG ◽  
Zhixing YANG
Keyword(s):  
Channel Estimation ◽  
Transmit Diversity ◽  
Low Complexity ◽  
Training Sequence ◽  
Ofdm System ◽  
Sequence Design ◽  
Training Sequence Design

scholarly journals A Novel Signal Detection Algorithm for Underwater MIMO-OFDM Systems Based on Generalized MMSE

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Gaoli Zhao ◽  
Jianping Wang ◽  
Wei Chen ◽  
Junping Song
Keyword(s):  
Computational Complexity ◽  
Signal Detection ◽  
Mean Square Error ◽  
High Performance ◽  
Minimum Mean Square Error ◽  
Multipath Fading ◽  
Detection Algorithm ◽  
Mean Square ◽  
Ofdm System ◽  
Mimo Ofdm

The MIMO-OFDM system fully exploits the advantages of MIMO and OFDM, effectively resisting the channel multipath fading and inter-symbol interference while increasing the data transmission rate. Studies show that it is the principal technical mean for building underwater acoustic networks (UANs) of high performance. As the core, a signal detection algorithm determines the performance and complexity of the MIMO-OFDM system. However, low computational complexity and high performance cannot be achieved simultaneously, especially for UANs with a narrow bandwidth and limited data rate. This paper presents a novel signal detection algorithm based on generalized MMSE. First, we propose a model for the underwater MIMO-OFDM system. Second, we design a signal coding method based on STBC (space-time block coding). Third, we realize the detection algorithm namely GMMSE (generalized minimum mean square error). Finally, we perform a comparison of the algorithm with ZF (Zero Forcing), MMSE (minimum mean square error), and ML (Maximum Likelihood) in terms of the BER (bit error rate) and the CC (computational complexity). The simulation results show that the BER of GMMSE is the lowest one and the CC close to that of ZF, which achieves a tradeoff between the complexity and performance. This work provides essential theoretical and technical support for implementing UANs of high performance.

scholarly journals New Solution for Reducing Doppler Shift in the MB-OFDM System Over High Mobility Multipath Channel for V&I Communication

2015 ◽  
Vol 12 (3) ◽  
pp. 166-173
Author(s):  
Sanaa Kabil ◽  
Raja Elassali ◽  
Fouzia Elbahhar ◽  
Brahim Ait Essaid ◽  
Abdellah Ait Ouahman
Keyword(s):  
Doppler Shift ◽  
High Mobility ◽  
Multipath Channel ◽  
Ofdm System
Sign in / Sign up

Export Citation Format

Share Document