A joint ML detection scheme for multi-carrier systems

2003 ◽  
Author(s):  
Xiangning Fan ◽  
Huaiyu Dou ◽  
Guangguo Bi
Keyword(s):  
Detection Scheme ◽  
Carrier Systems ◽  
Ml Detection

Depth-First QRD-M Detection Algorithm for MIMO Systems

2013 ◽  
Vol 347-350 ◽  
pp. 3478-3481
Author(s):  
Li Liu ◽  
Jin Kuan Wang ◽  
Xin Song ◽  
Yin Hua Han ◽  
Yu Huan Wang
Keyword(s):  
Ordered Set ◽  
Mimo Systems ◽  
Multiple Input Multiple Output ◽  
Detection Algorithm ◽  
Qr Decomposition ◽  
Detection Performance ◽  
Detection Scheme ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Ml Detection

Maximum likelihood (ML) detection algorithm for multiple input multiple output (MIMO) systems provided the best bit error rate (BER) performance with heavy calculating complexity. The use of QR decomposition with M-algorithm (QRD-M) had been proposed to provide near-ML detection performance and lower calculating complexity. However, its complexity still grew exponentially with increasing dimension of the transmitted signal. To reduce the problem, an improved detection scheme was proposed here. After constructing the tree detecting model of MIMO systems, the ML search of one layer was done, the branch metrics were calculated and sorted, which gave an ordered set of the layer, then depth-first search were used to search the left layers with termination methods. The proposed algorithm provides near QRD-M detection performance.

A new reduced complexity ML detection scheme for MIMO systems

2010 ◽  
Vol 58 (4) ◽  
pp. 1302-1310 ◽  
Author(s):  
Jin-Sung Kim ◽  
Sung-Hyun Moon ◽  
Inkyu Lee
Keyword(s):  
Mimo Systems ◽  
Detection Scheme ◽  
Reduced Complexity ◽  
Ml Detection

A Low-Complexity Detection Scheme for Generalized Spatial Modulation Aided Single Carrier Systems

2015 ◽  
Vol 19 (6) ◽  
pp. 1069-1072 ◽  
Author(s):  
Lixia Xiao ◽  
Lilin Dan ◽  
Yunjiao Zhang ◽  
Yue Xiao ◽  
Ping Yang ◽  
...  
Keyword(s):  
Low Complexity ◽  
Spatial Modulation ◽  
Detection Scheme ◽  
Single Carrier ◽  
Carrier Systems ◽  
Single Carrier Systems

Multiple faults detection and isolation approach applied to a kraft recovery boiler

TAPPI Journal ◽  
2014 ◽  
Vol 13 (1) ◽  
pp. 33-41
Author(s):  
YVON THARRAULT ◽  
MOULOUD AMAZOUZ
Keyword(s):  
Fault Detection ◽  
Early Detection ◽  
False Alarm ◽  
False Alarm Rate ◽  
Principal Component ◽  
Fault Isolation ◽  
Fault Detection And Isolation ◽  
Detection Scheme ◽  
Multiple Faults ◽  
Recovery Boiler

Recovery boilers play a key role in chemical pulp mills. Early detection of defects, such as water leaks, in a recovery boiler is critical to the prevention of explosions, which can occur when water reaches the molten smelt bed of the boiler. Early detection is difficult to achieve because of the complexity and the multitude of recovery boiler operating parameters. Multiple faults can occur in multiple components of the boiler simultaneously, and an efficient and robust fault isolation method is needed. In this paper, we present a new fault detection and isolation scheme for multiple faults. The proposed approach is based on principal component analysis (PCA), a popular fault detection technique. For fault detection, the Mahalanobis distance with an exponentially weighted moving average filter to reduce the false alarm rate is used. This filter is used to adapt the sensitivity of the fault detection scheme versus false alarm rate. For fault isolation, the reconstruction-based contribution is used. To avoid a combinatorial excess of faulty scenarios related to multiple faults, an iterative approach is used. This new method was validated using real data from a pulp and paper mill in Canada. The results demonstrate that the proposed method can effectively detect sensor faults and water leakage.

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