A Novel Constellation Mapping VBLAST Zero Forcing Detection Algorithm in MIMO-OFDM System

2010 ◽  
Author(s):  
Hongliang Fu ◽  
Yong Tao ◽  
Tiejun Yang ◽  
Yuan Zhang
Keyword(s):  
Detection Algorithm ◽  
Ofdm System ◽  
Zero Forcing ◽  
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.

scholarly journals Fractional weighted ZF equalizer: A novel approach for channel equalization in MIMO-OFDM system under impulse noise environment

2021 ◽  
Vol 6 (1) ◽  
pp. 1-10
Author(s):  
S. P. Girija ◽  
Rameshwar Rao
Keyword(s):  
Error Rate ◽  
Orthogonal Frequency Division Multiplexing ◽  
Impulse Noise ◽  
Multiple Input Multiple Output ◽  
Symbol Error Rate ◽  
Mitigation Strategy ◽  
Ofdm System ◽  
Noise Mitigation ◽  
Zero Forcing ◽  
Mimo Ofdm

Impulse noise is the major factor degrading the performance of the wireless system, imposing the need for the impulse noise mitigation strategy. Mainly, in the multiple-input multiple-output (MIMO) and orthogonal frequency-division multiplexing (OFDM) system contaminated with the impulse noise creates a major impact in the performance as the conventional zero-forcing (ZF) equalizer as there is no satisfactory results. Thus, the paper concentrates on the impulse noise mitigation strategy based on the fractional weighed zero-forcing (FWZF) equalizer, which is the integration of the fractional concept in the Zero-Forcing equalizer. The noise impacts in the MIMO-OFDM system are minimized and the performance is enhanced due to the usage of the fractional theory in the ZF equalizer as the equalization values of the previous instances are interpreted for the formulation of the effective equalization value in the current instance of the ZF equalizer. The performance of the methods is done based on the valuation metrics, Bit Error Rate (BER), Mean Square Error (MSE), and Symbol Error Rate (SER) with respect to the Signal-to-Noise Ratio (SNR) and dissimilar antenna array size. It is found that the proposed Fractional Weighed Zero-Forcing equalizer outperformed the existing methods with a minimal BER and SER of 0.063, and 0.1038 while analyzing the methods in the Rayleigh environment.

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.

scholarly journals OPTIMAL PAIR-WISE SUS ALGORITHM AS PROPORTIONAL FAIR ALGORITHM FOR MU-MIMO-OFDM SYSTEMS

2020 ◽  
Vol 19 (1) ◽  
pp. 011
Author(s):  
Aleksandra Panajotović ◽  
Daniela Milović
Keyword(s):  
System Throughput ◽  
Proportional Fairness ◽  
User Selection ◽  
Ofdm Systems ◽  
Ofdm System ◽  
Zero Forcing ◽  
Throughput Performance ◽  
Optimal Pair ◽  
Mimo Ofdm ◽  
Simulation Results

In this paper, we research proportional fairness of the optimal pair-wise semi-orthogonal user selection (SUS) algorithm used in the MU-MIMO-OFDM system compliant with IEEE 802.11ac standard. Zero-forcing beamforming (ZFBF) is applied in the system as a precoding technique in order to cancel user interferences. Two different scenarios are considered: homogeneous and heterogeneous. Beside the proportional fairness, a throughput performance of the MU-MIMO-OFDM system is analyzed for both scenarios too. Simulation results show that the optimal pair-wise SUS algorithm is an excellent solution to realize the trade-off between the proportional fairness among users and the achieved system throughput.

Sign in / Sign up

Export Citation Format

Share Document