Variable Step-Size Constant Modulus Algorithm Employing Fuzzy Logic Controller

2009 ◽  
Vol 54 (2) ◽  
pp. 237-250 ◽  
Author(s):  
A. Özen ◽  
İ. Kaya ◽  
B. Soysal
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Variable Step Size ◽  
Constant Modulus ◽  
Constant Modulus Algorithm ◽  
Step Size ◽  
Variable Step

scholarly journals A Novel Implementation of Variable Step Size Constant Modulus Algorithm with LMS update

2019 ◽  
Vol 8 (11) ◽  
pp. 4210-4212
Keyword(s):  
Fast Convergence ◽  
Variable Step Size ◽  
Constant Modulus ◽  
Constant Modulus Algorithm ◽  
Step Size ◽  
Variable Step

This paper shows novel implementation of Constant Modulus Algorithm (CMA) using LMS update with variable step size (VSS). Fast convergence and good quality reception of 4-QAM has been achieved.

New Hybrid Blind Equalization Algorithms

2012 ◽  
Vol 182-183 ◽  
pp. 1810-1815
Author(s):  
Shun Lan Liu ◽  
Lin Wang
Keyword(s):  
Blind Equalization ◽  
Convergence Speed ◽  
Variable Step Size ◽  
Constant Modulus ◽  
Computation Complexity ◽  
Constant Modulus Algorithm ◽  
Step Size ◽  
Variable Step ◽  
Simulation Results ◽  
The Cost

A novel decision-directed Modified Constant Modulus Algorithm (DD-MCMA) was proposed firstly. Then a constellation matched error (CME) function was added to the cost function of DD-MCMA and CME-DD-MCMA algorithm was presented. Furthermore, we improve the CME-DD-MCMA by replacing the fixed step with variable step size, that is VSS-CME-DD-MCMA algorithm. The simulation results show that the proposed new blind equalization algorithms can tremendously accelerate the convergence speed and achieve lower residual inter-symbol interference (ISI) than MCMA, and among the three proposed algorithms, VSS-CME-DD-MCMA has the fastest convergence speed and the lowest residual ISI, but it has the largest computation complexity.

Network Intrusion Feature Map Node Equalization Algorithm Based on Modified Variable Step-Size Constant Modulus

2019 ◽  
Vol 33 (14) ◽  
pp. 1955015 ◽  
Author(s):  
Jiazhong Lu ◽  
Xiaolei Liu ◽  
Teng Hu ◽  
Jianwei Zhang ◽  
Xiaosong Zhang
Keyword(s):  
Channel Model ◽  
Channel Equalization ◽  
Variable Step Size ◽  
Transmission Channel ◽  
Constant Modulus ◽  
Step Size ◽  
Feature Map ◽  
Network Intrusion ◽  
Equalization Algorithm ◽  
Variable Step

When the network is subject to intrusion and attack, the node output channel equalization will be affected, resulting in bit error and distortion in the output of network transmission symbols. In order to improve the anti-attack ability and equalization of network node, a network intrusion feature map node equalization algorithm based on modified variable step-size constant modulus blind equalization algorithm (MISO-VSS-MCMA) is proposed. In this algorithm, the node transmission channel model after network intrusion is constructed, and sequential processing is performed to intruded nodes with the variable structure feedback link control method. With diversity spread spectrum technology, the channel loss after network intrusion is compensated and the network intrusion map feature is extracted. According to the extracted feature amount, channel equalization processing is performed for the cost function with the MISO-VSS-MCMA method to reduce the damage of network intrusion to the channel. Simulation results show that in node transmission channel equalization after network intrusion, this algorithm can reduce the error bit rate of signal transmission in network, and provide a good ability of correcting phase deflection in the output constellation, thus avoiding the error bit distortion and channel damage caused by network intrusion to the signal with a good equalization effect. This algorithm provides stronger convergence and map concentration, which demonstrates that its anti-interference and signal recovery capabilities are better, so it improves the anti-attack ability of the network.

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