Situation-Adaptive Detection Algorithm for Efficient MIMO-OFDM System

2016 ◽  
Vol E99.A (1) ◽  
pp. 417-422 ◽  
Author(s):  
Chang-Bin HA ◽  
Hyoung-Kyu SONG
Keyword(s):  
Detection Algorithm ◽  
Adaptive Detection ◽  
Ofdm System ◽  
Mimo Ofdm

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.

A Novel Multiuser Detection Algorithm for CDMA-Based MIMO-OFDM System

2006 ◽  
Vol 13 (2) ◽  
pp. 90-94 ◽  
Author(s):  
Jun-shi LIU ◽  
Bi-hua TANG ◽  
Ya-chen WANG ◽  
Yuan-an LIU
Keyword(s):  
Multiuser Detection ◽  
Detection Algorithm ◽  
Ofdm System ◽  
Mimo Ofdm

MMSE Space-Time Multi-User Detection in OFDM Systems Based on a Variety of Modulation

2013 ◽  
Vol 401-403 ◽  
pp. 1908-1911
Author(s):  
Meng Qi ◽  
Xin Xin Wang
Keyword(s):  
Interference Cancellation ◽  
Minimum Mean Square Error ◽  
Multiple Access Interference ◽  
Detection Algorithm ◽  
Ofdm Systems ◽  
Ofdm System ◽  
Broadband Wireless ◽  
Mimo Ofdm ◽  
Receiver Performance ◽  
Mapping Point

MIMO-OFDM is considered as candidates for future 3G/B3G broadband wireless services. High quality mobile services have to eliminate multiple-access interference (MAI) that affects multi-user receiver performance in MIMO-OFDM system. In this paper, we analyze the effect of MAI on MIMO-OFDM system and adapt a successive interference cancellation (SIC) multi-user detection algorithm which based on minimum mean square error (MMSE) algorithm for MIMO-OFDM system. This algorithm by optimizing the sorting structure enables the receiver algorithm has better performance. The simulation results show that the algorithm can obtain rate is better than the conventional linear MMSE algorithm performance in the error, and constellation mapping point spacing also affect the detection performance. As the spacing is reducing, the bit error probability will rise.

Research of Sphere Decoding Detection Algorithm Based on Transmit Diversity

2013 ◽  
Vol 791-793 ◽  
pp. 1328-1332
Author(s):  
Dan Wang ◽  
Yuan Yuan Zhou ◽  
Xiao Wen Li
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Signal To Noise Ratio ◽  
Transmit Diversity ◽  
Detection Algorithm ◽  
Sphere Decoding ◽  
Ofdm System ◽  
Improve Performance ◽  
Single Tree ◽  
Mimo Ofdm

In MIMO-OFDM system, the traditional MRC algorithm is used for signal detection in transmit diversity mode ,this algorithm which assumes the same impulse response between adjacent sub-carriers and doesnt consider the noise ,has a higher bit error rate when signal-to-noise ratio is small ,based on this, this paper introduces a fast and effective single tree research sphere decoding detection algorithm and gives a detailed description of the algorithm ,simulation results show that the algorithm can reduce the bit error rate and improve performance.

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
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