A Variable Step-Size BLMS Adaptive Jamming Cancellation Algorithm Based on FFT

There are a lot of advantages for the traditional LMS algorithm, such as being simple in structure, being good in stability and so on, but this algorithm has defects that its computational complexity increases rapidly with the order of the adaptive filter. In order to apply the LMS algorithm to the adaptive jamming cancellation system, real time of the LMS algorithm must be improved. This paper deals with the signal which segmented into several areas, utilizes the FFT technology to achieve the blocked algorithm, and finally brings variable step-size method into the new algorithm. The high efficiency of the new algorithm is verified by simulation results.

A Variable Step Size LMS Adaptive Filtering Algorithm and Simulations Based on Computational Verb Theory

10.4028/www.scientific.net/amr.756-759.3972 ◽

2013 ◽

Vol 756-759 ◽

pp. 3972-3976 ◽

Cited By ~ 1

Author(s):

Li Hui Sun ◽

Bao Yu Zheng

Keyword(s):

Adaptive Filtering ◽

Adaptive Algorithm ◽

Linear Functional ◽

Functional Relationship ◽

Lms Algorithm ◽

Variable Step Size ◽

Step Size ◽

Filtering Algorithm ◽

Variable Step ◽

Based on traditional LMS algorithm, variable step LMS algorithm and the analysis for improved algorithm, a new variable step adaptive algorithm based on computational verb theory is put forward. A kind of sectorial linear functional relationship is established between step parameters and the error. The simulation results show that the algorithm has the advantage of slow change which is closely to zero. And overcome the defects of some variable step size LMS algorithm in adaptive steady state value is too large.

Variable Step Size LMS Algorithm Based on Two Cooperative Adaptive Filters

10.4028/www.scientific.net/amr.268-270.1168 ◽

2011 ◽

Vol 268-270 ◽

pp. 1168-1172

Author(s):

Qing Feng Wang ◽

Chuan Lin

Keyword(s):

Adaptive Filter ◽

Adaptive Filters ◽

Lms Algorithm ◽

Variable Step Size ◽

Step Size ◽

Output Noise ◽

Variable Step ◽

Tracking Ability ◽

New Algorithms ◽

Current Stage

A new variable step size LMS algorithm (CoLMS algorithm) based on two cooperative adaptive filters was proposed. In the CoLMS algorithm, the step size of each component filter was adjusted according to the comparison result of the two component filters’ performance at current stage. And the output of the better component adaptive filter was chosen as that of the overall adaptive filter. The CoLMS algorithm is not sensitive to the magnitude of the output noise and has a good tracking ability in the stationary or slowly changed environment. In order to further improve the tracking ability of CoLMS in abruptly changed environment, a modified CoLMS algorithm is also presented. The efficiency of the new algorithms is verified by the simulation results in system identification under the noises of different magnitudes.

A Variable Step-Size Leaky LMS Algorithm

Wireless Communications and Mobile Computing ◽

10.1155/2021/7951643 ◽

2021 ◽

Vol 2021 ◽

pp. 1-11

Author(s):

Sihai Zhao ◽

Jiangye Xu ◽

Yuyan Zhang

Keyword(s):

Input Sequence ◽

Lms Algorithm ◽

Variable Step Size ◽

Step Size ◽

Noise Interference ◽

Parameter Drift ◽

Fast Convergence Rate ◽

Variable Step ◽

Time Average ◽

The leaky LMS algorithm has been extensively studied because of its control of parameter drift. This unexpected parameter drift is linked to the inadequacy of excitation in the input sequence. And generally leaky LMS algorithms use fixed step size to force the performance of compromise between the fast convergence rate and small steady-state misalignment. In this paper, variable step-size (VSS) leaky LMS algorithm is proposed. And the variable step-size method combines the time average estimation of the error and the time average estimation of the normalized quantity. Variable step-size method proposed incorporating with leaky LMS algorithm can effectively eliminate noise interference and make the early convergence, and final small misalignments are obtained together. Simulation results demonstrate that the proposed algorithm has better performance than the existing variable step-size algorithms in the unexcited environment. Furthermore, the proposed algorithm is comparable in performance to other variable step-size algorithms under the adequacy of excitation.

A Novel Variable Step Size LMS Algorithm Based on Modified Hyperbolic Tangent and Its Simulation

10.4028/www.scientific.net/amr.490-495.1426 ◽

2012 ◽

Vol 490-495 ◽

pp. 1426-1430 ◽

Cited By ~ 1

Author(s):

Fu Qing Tian ◽

Rong Luo

Keyword(s):

Steady State ◽

Noise Suppression ◽

Lms Algorithm ◽

Variable Step Size ◽

Hyperbolic Tangent ◽

Step Size ◽

Low Snr ◽

Variable Step ◽

Overall Performance ◽

In the paper, a new variable step size LMS algorithm based on modified hyperbolic tangent is presented. In the algorithm, the step size is adjusted by the estimation of the autocorrelation between and .The algorithm introduces the compensation monomial to improve the convergence and the parameters to improve the shape and bottom characteristic of hyperbolic tangent. Therefore, the algorithm has faster convergence, better performance of noise suppression，lower steady state error and misadjustment. The theoretical analysis and simulation results all show that the overall performance of the new algorithm exceeds greatly some existent others under low SNR condition.

Simulation Realization of Adaptive Filtering Based on a Normalized LMS Algorithm

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.373-375.1159 ◽

2013 ◽

Vol 373-375 ◽

pp. 1159-1163

Author(s):

Ya Feng Li ◽

Zi Wei Zheng

Keyword(s):

Adaptive Filtering ◽

Notch Filter ◽

Lms Algorithm ◽

Variable Step Size ◽

Step Size ◽

Filtering Algorithm ◽

Adaptive Notch Filter ◽

Variable Step ◽

Simulation Results ◽

Normalized Lms

This paper presents the new algorithm which is an improved normalized variable step size LMS adaptive filtering algorithm. A normalized LMS algorithm with variable step size iterative formula is deduced and at the same time the simulation results prove that the new algorithm has good performance. The LMS adaptive filtering algorithm has been widely used in many applications such as system identification, noise cancellation and the adaptive notch filter ,the paper analyses the application and implement the simulation by matlab. the result shows the proposed algorithm has been applied well.

Application of Variable Step Size LMS Algorithm in Multiple Access Interference Cancellation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.602-605.3474 ◽

2014 ◽

Vol 602-605 ◽

pp. 3474-3477

Author(s):

Hui Zhi Zou

Keyword(s):

Computational Complexity ◽

Spread Spectrum ◽

Interference Cancellation ◽

Multiple Access ◽

Multiple Access Interference ◽

Lms Algorithm ◽

Variable Step Size ◽

Step Size ◽

Traditional Algorithm ◽

Variable Step

MAI influence, using a low computational complexity variable step size LMS algorithm based on the traditional algorithm to find the optimal weight on, and make estimates for the magnitude, thereby offsetting the presence of MAI and estimates for spread spectrum communication system struck a balance between the consideration to be paid for MAI. The improved algorithm reduces the computational complexity of each level, the simulation results also show that the method has better performance.

Adaptive equalizer with zero-noise constrained LMS algorithm

Facta universitatis - series Electronics and Energetics ◽

10.2298/fuee0301127k ◽

2003 ◽

Vol 16 (1) ◽

pp. 127-135

Author(s):

Bozo Krstajic ◽

Zdravko Uskokovic ◽

Ljubisa Stankovic

Keyword(s):

Computer Simulation ◽

Lms Algorithm ◽

Variable Step Size ◽

Step Size ◽

Adaptive Equalizer ◽

Variable Step ◽

This paper introduces a type of zero-noise constrained LMS (ZN-CLMS) algorithm in an adaptive equalizer. It is a particular case of mismatched noise constrained LMS (NCLMS) algorithm. It is also a variant of variable step-size LMS algorithm, where the step-size rule arises naturally from the constraints. We will show here that the adaptive equalizer based on the ZN-CLMS algorithm has favorable performance. Computer simulation results are provided to support the proposed implementation of the ZNCLMS.

The Simulation of Speech Enhancement Based on Variable Leaky LMS Algorithm

10.4028/www.scientific.net/amr.926-930.1763 ◽

2014 ◽

Vol 926-930 ◽

pp. 1763-1766

Author(s):

Yu Min Tian ◽

Bi Nang Li ◽

Zhi Huai Wang ◽

Wei Tan

Keyword(s):

Speech Enhancement ◽

Adaptive Filter ◽

Gaussian Noise ◽

Speech Signal ◽

Lms Algorithm ◽

Variable Step Size ◽

Step Size ◽

Good Ability ◽

Variable Step ◽

Signal Fading

In order to eliminate the speech signal fading induced by noise, this paper proposes a new variable leaky LMS algorithm on the basis of the adaptive filter in combination with the advantages of the leakage LMS algorithm and the variable step size LMS algorithm, and analyzes its principle. After the new algorithm is used to simulate speech with noise, the result shows that the proposed algorithm has a good ability to suppress Gaussian noise and excellent tracking performance, proving the correctness of the algorithm and the feasibility of simulation.

Normalized Subband Adaptive Filter

A Sequential Selection Normalized Subband Adaptive Filter with Variable Step-Size Algorithms

Mathematical Problems in Engineering ◽

10.1155/2018/1941367 ◽

2018 ◽

Vol 2018 ◽

pp. 1-10

Author(s):

JaeWook Shin ◽

Hyun Jae Baek ◽

Bum Yong Park ◽

Jaegeol Cho

Keyword(s):

Computational Complexity ◽

Adaptive Filter ◽

Variable Step Size ◽

Step Size ◽

Deviation Analysis ◽

Sequential Selection ◽

Variable Step ◽

Subband Adaptive Filter ◽

The Mean ◽

This letter proposes a sequential selection normalized subband adaptive filter (SS-NSAF) in order to reduce the computational complexity. In addition, a variable step-size algorithm is also proposed using the mean-square deviation analysis of the SS-NSAF. To enhance the performance in terms of the convergence speed, we propose an improved variable step-size SS-NSAF using a two-stage concept. The simulation results show the low computational complexity and low misalignment errors using the proposed algorithm.

Multichannel active noise control system using variable step size algorithms

Science and Technology Development Journal ◽

10.32508/stdj.v18i3.821 ◽

2015 ◽

Vol 18 (3) ◽

pp. 61-71

Author(s):

Ngan Vuong Thuy Nguyen ◽

Long Duc Tran ◽

Tho Thi Minh Tran ◽

Tuan Van Huynh

Keyword(s):

Control System ◽

Real Time ◽

Noise Control ◽

Active Noise Control ◽

Lms Algorithm ◽

Variable Step Size ◽

Step Size ◽

Feed Forward ◽

Active Noise ◽

Variable Step

This paper presents the feed-forward multichannel active noise control which was simulated on LabVIEW and experimented on two channel feed-forward active noise control in real-time. The simulation of feed-forward multichannel active noise control system was built on LabVIEW by using FxLMS algorithm and other algorithms such as Variable Step-size (VSS) and saturation compensation. Moreover, LMS and VSS LMS algorithm were used to train the secondary path in order to improve the convergence speed and stabilization of ANC system in the real-time. The experimental results show that the ANC system in real-time using variable step-size and without using variable step-size algorithm work effectively with noise sources which were synthesized from one to three frequencies. The noise level in these cases decreased around 12 dB - 35 dB and the noise reduction radius measured is about 3 cm around the microphone.