SCCR LDPC Code for Ordered MIMO-OFDM Channels

2006 ◽  
Author(s):  
Yuan Li ◽  
Ying-Chang Liang ◽  
Sumei Sun ◽  
R. Zhang
Keyword(s):  
Ldpc Code ◽  
Mimo Ofdm

scholarly journals The application of LDPC code in MIMO-OFDM system

2018 ◽  
Vol 322 ◽  
pp. 072009
Author(s):  
Ruian Liu ◽  
Beibei Zeng ◽  
Tingting Chen ◽  
Nan Liu ◽  
Ninghao Yin
Keyword(s):  
Ldpc Code ◽  
Ofdm System ◽  
Mimo Ofdm

scholarly journals Forward and backward RLS-DDCE processing in MIMO-OFDM spatial multiplexing receivers

2010 ◽  
Vol 8 ◽  
pp. 101-107
Author(s):  
M. Muxfeldt ◽  
P. Beinschob ◽  
U. Zölzer
Keyword(s):  
Channel Estimation ◽  
Ldpc Code ◽  
Error Rates ◽  
Spatial Multiplexing ◽  
Recursive Least Squares ◽  
Likelihood Ratios ◽  
Novel Approach ◽  
Turbo Principle ◽  
Channel Information ◽  
Mimo Ofdm

Abstract. In this paper we present a novel approach in frequency domain channel estimation technique. Our proposal is based on the recursive least squares (RLS) algorithm combined with the decision making process called decision directed channel estimation (RLS-DDCE). The novelty and key concept of this technique is the block-wise causal and anti-causal RLS processing that yields two independent processing of RLS along with the associated decisions. Due to the implemented low density parity check (LDPC) code the receiver operates with soft information, which enables us to introduce a new modification of the Turbo principle as well as simple addition of the a-posteriori log-likelihood ratios (LLRs). Although the computational complexity is increased by both of our approaches, the latter is relatively less complex than the earlier. Simulation results show that these implementations outperform the simple RLS-DDCE algorithm and yield lower bit error rates (BER) and more accurate channel information.

scholarly journals Coding Techniques using IDMA OFDM MIMO for Underwater Wireless Acoustic Communication

2020 ◽  
Vol 8 (5) ◽  
pp. 3968-3973
Keyword(s):  
High Speed ◽  
Turbo Code ◽  
High Capacity ◽  
Ldpc Code ◽  
Data Rate ◽  
Underwater Communication ◽  
Available Bandwidth ◽  
Mimo Ofdm ◽  
High Speed Data ◽  
Communication Demands

Future Underwater communication demands high speed data transmission. Present Underwater communication can only provide a limited data rate, where the available bandwidth is limited. To increase the data rate, we simulate the MIMO-OFDM with IDMA technique. In MIMO method many transmitter and many receiver antennas are present. MIMO method offer a very high capacity which raises linearly with the numeral of antennas. Data rate increases with MIMO method, bandwidth is saved and fading is reduced with OFDM. In OFDM technique the complete sign orthogonally overlays in a frequency field that secures the bandwidth. IDMA system is constructed on interleaving procedure. In this paper different coding techniques Convolutional, RS code, LDPC code, Turbo code with IDMA OFDM MIMO technique are compared. IDMA OFDM MIMO with Turbo code, BER performance is improved up to 10-6 .

Multi-User Chaos MIMO-OFDM Scheme for Secure Mobile Communications

2014 ◽  
Vol 2 ◽  
pp. 264-268
Author(s):  
Yuma Inaba ◽  
Eiji Okamoto
Keyword(s):  
Mobile Communications ◽  
Mimo Ofdm

Transmission Performance of Space Time Block Coding with Grouped Phase Rotation for Asymmetric MIMO-OFDM System

2011 ◽  
Vol E94-B (12) ◽  
pp. 3540-3549
Author(s):  
Akinori NAKAJIMA ◽  
Kenichiro TANAKA ◽  
Akinori OHASHI ◽  
Hiroshi HATTORI ◽  
Akihiro OKAZAKI ◽  
...  
Keyword(s):  
Space Time ◽  
Ofdm System ◽  
Time Block ◽  
Transmission Performance ◽  
Block Coding ◽  
Phase Rotation ◽  
Space Time Block Coding ◽  
Mimo Ofdm

Performance Comparison between Turbo Code and Rate-Compatible LDPC Code for Evolved UTRA Downlink OFDM Radio Access

2009 ◽  
Vol E92-B (5) ◽  
pp. 1504-1515 ◽  
Author(s):  
Naoto OKUBO ◽  
Nobuhiko MIKI ◽  
Yoshihisa KISHIYAMA ◽  
Kenichi HIGUCHI ◽  
Mamoru SAWAHASHI
Keyword(s):  
Turbo Code ◽  
Ldpc Code ◽  
Performance Comparison ◽  
Radio Access
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