LMMSE Equalization Algorithm Research Based on 0.5chip Level

We consider the scenario of cognitive relay networks, where the cognitive relay is equipped with multiple antennas and the cognitive destinations have only one antenna due to the size and cost limitations. Aiming to maximize the signal-to-interference noise ratio (SINR), we develop the optimal beam-forming scheme for the relay case. The proposed scheme is based on minimum mean square error (MMSE). The theoretical results are validated by simulations. Simulation results show that the proposed scheme has a considerable performance.

Download Full-text

An Autocorrelation-Based Interference Rejection Signal Detection Scheme

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.271-273.833 ◽

2011 ◽

Vol 271-273 ◽

pp. 833-838

Author(s):

Cheng Ti Huang ◽

Ruey Wen Liu ◽

Hou Jun Wang ◽

Cheng Lin Yang

Keyword(s):

Signal Detection ◽

Mean Square Error ◽

Minimum Mean Square Error ◽

Interference Rejection ◽

Mean Square ◽

Detection Scheme ◽

High Detection ◽

Mmse Estimator ◽

Simulation Results ◽

Detection Quality

This presentation proposed an autocorrelation-based signal detection scheme to get a better resulting. The signal detection scheme is combined by Autocorrelation Filter and an improved linear Minimum Mean Square Error (MMSE) estimator. The Autocorrelation Filter is used to reject the interference, and the improved linear MMSE estimator is used to get the least error. Both two methods are based on the non-overlapping property of the signals in autocorrelation domain. The theory consequence and Simulation results indicate that this signal detection scheme can achieve a high detection quality.

Download Full-text

An Optimized Combination of Frequency Domain Adaptive Equalizers

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.548-549.766 ◽

2014 ◽

Vol 548-549 ◽

pp. 766-770

Author(s):

Ke Cheng Leng ◽

Cheng Bie ◽

Xi Gong ◽

Ran Xu ◽

Ye Cai Guo

Keyword(s):

Frequency Domain ◽

Mean Square Error ◽

Time Domain ◽

Blind Equalization ◽

Mean Square ◽

Constant Modulus ◽

Equalization Algorithm ◽

Adaptive Equalizers ◽

Simulation Results ◽

The Time Domain

In order to overcome the defects of the high computational loads and selecting the threshold of mean square error (MSE) for time domain decision-directed constant modulus blind equalization algorithm (DD+CMA), a frequency domain parallel decision multi-modulus blind equalization algorithm based on frequency domain MMA(FMMA) and frequency domain LMS (FLMS) algorithm is proposed. The proposed algorithm is composed of the FMMA and FLMS, and the FMMA and FLMS run automatically in soft switching parallel manner. In running process, it is not necessary to selecting the threshold of the MSE. Moreover, the computational loads can be reduced by circular convolution in the frequency domain signals instead of linear one of the time domain signals. Simulation results show that performance of the proposed algorithm outperforms the FLMS and the FMMA algorithm.

Download Full-text

A Simulation-Based Study for Progressive Estimation of Population Mean through Traditional and Nontraditional Measures in Stratified Random Sampling

Journal of Mathematics ◽

10.1155/2021/9038126 ◽

2021 ◽

Vol 2021 ◽

pp. 1-16

Author(s):

Maria Javed ◽

Muhammad Irfan ◽

Sajjad Haider Bhatti ◽

Ronald Onyango

Keyword(s):

Mean Square Error ◽

Random Sampling ◽

Minimum Mean Square Error ◽

Auxiliary Information ◽

Stratified Random Sampling ◽

Mean Square ◽

Population Mean ◽

New Family ◽

Simulation Based ◽

Better Than

This study suggests a new optimal family of exponential-type estimators for estimating population mean in stratified random sampling. These estimators are based on the traditional and nontraditional measures of auxiliary information. Expressions for the bias, mean square error, and minimum mean square error of the proposed estimators are derived up to first order of approximation. It is observed that proposed estimators perform better than the traditional estimators (unbiased, combined ratio, and combined regression) and other recent estimators. A real dataset is used to highlight the applicability of proposed estimators. In addition, a simulation study is carried out to assess the performance of new family as compared to other estimators.

Download Full-text

Fault-tolerant PWM inverter model development for safety electrical drives

International Review of Applied Sciences and Engineering ◽

10.1556/1848.2016.7.2.3 ◽

2016 ◽

Vol 7 (2) ◽

pp. 77-83 ◽

Cited By ~ 1

Author(s):

Cs. Szász ◽

R. Şinca

Keyword(s):

Energy Efficiency ◽

Mean Square Error ◽

Minimum Mean Square Error ◽

Multiple Input Multiple Output ◽

Base Station ◽

Mean Square ◽

Maximum Ratio Combining ◽

Multiple Input ◽

Input Multiple Output ◽

Better Than

This paper deals with the most recent technology in wireless communication which is massive multiple input multiple output system. The paper studies the performance of massive multiple input multiple output uplink system over Rayleigh fading channel. The performance is measured in terms of spectral and energy efficiency using three schemes of linear detection, maximum-ratio-combining, zero forcing receiver, and minimum mean-square error receiver. The simulation results show that the spectral and energy efficiency increases with increasing the number of base station antennas. Also, the spectral and energy efficiency with minimum mean-square error receiver is better than that withzero forcing receiver, and the latter is better than that with maximum-ratio-combining. Furthermore, the energy efficiency decreases with increasing the spectral efficiency.

Download Full-text

Simulation and Analysis of Linear Multiple User Detection Based on Simulink

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.263-266.354 ◽

2012 ◽

Vol 263-266 ◽

pp. 354-359

Author(s):

Sheng Liang ◽

Yong Xie ◽

Gao Feng Pan ◽

Jun Xue ◽

Xin Feng Yu

Keyword(s):

Mathematical Models ◽

Mean Square Error ◽

Spread Spectrum ◽

Minimum Mean Square Error ◽

Mean Square ◽

Simulation Framework ◽

Multiple User ◽

Single User ◽

Better Than ◽

Multiple User Detection

In order to study the feasibility of linear Multiple User Detection (MUD) used in multi-objective spread spectrum TT&C, mathematical models of Decorrelation Algorithm (DEC) and Minimum Mean Square Error Algorithm (MMSE) are built. Simulation framework based on Simulink is given. Two algorithms are compared with traditional single user detector. The results of simulation show the two linear MUDs are better than traditional single user detection.

Download Full-text

Spectral and energy efficiency of massive MIMO system

International Review of Applied Sciences and Engineering ◽

10.1556/1848.2016.7.2.2 ◽

2016 ◽

Vol 7 (2) ◽

pp. 71-75

Author(s):

M. Al-Rawi ◽

M. Al-Rawi

Keyword(s):

Energy Efficiency ◽

Mean Square Error ◽

Minimum Mean Square Error ◽

Multiple Input Multiple Output ◽

Base Station ◽

Mean Square ◽

Maximum Ratio Combining ◽

Multiple Input ◽

Input Multiple Output ◽

Better Than

This paper deals with the most recent technology in wireless communication which is massive multiple input multiple output system. The paper studies the performance of massive multiple input multiple output uplink system over Rayleigh fading channel. The performance is measured in terms of spectral and energy efficiency using three schemes of linear detection, maximum-ratio-combining, zero forcing receiver, and minimum mean-square error receiver. The simulation results show that the spectral and energy efficiency increases with increasing the number of base station antennas. Also, the spectral and energy efficiency with minimum mean-square error receiver is better than that withzero forcing receiver, and the latter is better than that with maximum-ratio-combining. Furthermore, the energy efficiency decreases with increasing the spectral efficiency.

Download Full-text

An Efficient Indoor Positioning Method with the External Distance Variation for Wireless Networks

Electronics ◽

10.3390/electronics10161949 ◽

2021 ◽

Vol 10 (16) ◽

pp. 1949

Author(s):

Ching-Mu Chen ◽

Yung-Fa Huang ◽

You-Ting Jheng

Keyword(s):

Mean Square Error ◽

Reference Point ◽

Minimum Mean Square Error ◽

Indoor Positioning ◽

Reference Points ◽

Variation Method ◽

Average Error ◽

Small Range ◽

Mean Square ◽

Simulation Results

This study strengthens the external distance variation for the indoor positioning performance. With the received signal strength (RSS) of the unknown node, a localization is performed to positioning its coordinates. The mean square error (MSE) of localization is deteriorated by the shadowing effect and the MSE depends on the location of reference nodes. Moreover, the minimum mean square error (MMSE) algorithm is also used with the RSS. The amount of variation in the distance between the reference point and the positioning node will also affect the accuracy. Therefore, this paper considers the distance between the reference point and the positioning node and also the distance variation between the reference points. MSE is used to estimate positioning performance and Monte Carlo is also used to simulate the average error of different shadowing and decay environments. When reference nodes have known distances, the distance is obtained separately and the estimated distances are identified by the MMSE method. In order to reduce the number of reference nodes and calculation cost, this paper uses adaptive reference node selection to improve the accuracy of positioning. Simulation results show that the external distance variation mechanism strengthens the indoor positioning performance. Moreover, this paper investigates the performance of several reference nodes (three, four, five, and six reference nodes) through 3D graphs to estimate the small range area. The differences are more clearly observed with fewer reference nodes and lower MSE. Finally, simulation results show that the MSE value of fixed three reference nodes is almost 100% better with external distance variation method compared to the random selected three reference nodes.

Download Full-text

Performance Enhancement of 16 Channels Back Haul DWDM OADM Ring Network Using Electronic Dispersion Compensation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.513-517.4357 ◽

2014 ◽

Vol 513-517 ◽

pp. 4357-4360

Author(s):

Anurag Sharma ◽

Vikrant Sharma ◽

Dalvir Kaur ◽

H.P. Singh

Keyword(s):

Mean Square Error ◽

Performance Enhancement ◽

Dispersion Compensation ◽

Minimum Mean Square Error ◽

Mean Square ◽

Ring Network ◽

Eye Opening ◽

Electronic Dispersion ◽

Error Optimization ◽

Inter Symbol Interference

In this paper, electronic dispersion compensation (EDC) based on minimum mean square error optimization has been employed to improve the performance of 16 channels, gigabit capacity, back haul DWDM OADM ring network.. It is observed that EDC significantly reduce BER by e-33 and improved Q2 dB by 3 dB, thus resulting in improved eye opening and considerably reduced inter-symbol interference.

Download Full-text