Multi-path Adaptive Interference Cancellation Technology Based on LMS Algorithm

2021 ◽  
Author(s):  
Junjie Wanga ◽  
Yunhao Jiang
Keyword(s):  
Interference Cancellation ◽  
Lms Algorithm

A Novel Design and FPGA Implementation of Filters Adapted Using LMS Variants

2018 ◽  
Vol 27 (08) ◽  
pp. 1850125
Author(s):  
Sakshi ◽  
Ravi Kumar
Keyword(s):  
Interference Cancellation ◽  
Adaptive Filters ◽  
Hardware Implementation ◽  
Lms Algorithm ◽  
Variable Step Size ◽  
Step Size ◽  
Silicon Area ◽  
Novel Structure ◽  
Wide Range ◽  
Field Programmable

Adaptive filters have wide range of applications in areas such as echo or interference cancellation, prediction and system identification. Due to high computational complexity of adaptive filters, their hardware implementation is not an easy task. However, it becomes essential in many cases where real-time execution is needed. This paper presents the design and hardware implementation of a variable step size 40 order adaptive filter for de-noising acoustic signals. To ensure an area efficient implementation, a novel structure is being proposed. The proposed structure eliminates the requirement of extra registers for storage of delayed inputs thereby reducing the silicon area. The structure is compared with direct-form and transposed-form structures by adapting the filter coefficients using four different variants of the least means square (LMS) algorithm. Subsequently, the filters are implemented on three different field programmable gate arrays (FPGAs) viz. Spartan 6, Virtex 6 and Virtex 7 to find out the best device family that can be used to implement an Adaptive noise canceller (ANC) by comparing speed, power and area utilization. The synthesis results clearly reveal that ANC designed using the proposed structure has resulted in a reduction in silicon area without incurring any significant overhead in terms of power or delay.

scholarly journals A Novel Self-Interference Cancellation Method Using an Optimized LMS Algorithm in CCFD Systems for a 5G Communication Network

2019 ◽  
Vol 9 (16) ◽  
pp. 3308
Author(s):  
Zeng-You Sun ◽  
Yu-Jie Zhao
Keyword(s):  
Wireless Communication ◽  
Interference Cancellation ◽  
Convergence Speed ◽  
Lms Algorithm ◽  
Full Duplex ◽  
Time Varying ◽  
Least Mean Square ◽  
Step Size ◽  
Channel Tracking ◽  
Step Factor

The Co-frequency Co-time Full Duplex (CCFD) is a key concept in 5G wireless communication networks. The biggest challenge for CCFD wireless communication is the strong self-interference (SI) from near-end transceivers. Aiming at cancelling the SI of near-end transceivers in CCFD systems in the radio frequency (RF) domain, a novel time-varying Least Mean Square (LMS) adaptive filtering algorithm which is based on step-size parameters gradually decrease with time varying called the DTV-LMS algorithm is proposed in this paper. The proposed DTV-LMS algorithm in this paper establishes the non-linear relationship between step factor and the evolved arct-angent function, and using the relationship between the time parameter and error signal correlation value to coordinately control the step factor to be updated. This algorithm maintains a low computational complexity. Simultaneously, the DTV-LMS algorithm can also attain the ideal characteristics, including the interference cancellation ratio (ICR), convergence speed, and channel tracking, so that the SI signal in the RF domain of a full duplex system can be effectively cancelled. The analysis and simulation results show that the ICR in the RF domain of the proposed algorithm is higher than that in the compared algorithms and have a faster convergence speed. At the same time, the channel tracking capability has also been significantly enhanced in CCFD systems.

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

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.

A robust interference cancellation technique for DS-UWB systems using fuzzy step size LMS algorithm

2008 ◽  
Vol 19 (2) ◽  
pp. 207-217 ◽  
Author(s):  
Chia-Hsin Cheng ◽  
Jyh-Horng Wen ◽  
Yu-Fan Chen ◽  
Jen-Yung Lin
Keyword(s):  
Interference Cancellation ◽  
Lms Algorithm ◽  
Step Size

Implementation of the Hartley-Transform-Based Block LMS Algorithm

1993 ◽  
Author(s):  
Tokunbo Ogunfunmi
Keyword(s):  
Digital Signal Processor ◽  
Adaptive Algorithm ◽  
Interference Cancellation ◽  
Digital Signal ◽  
Cost Effective ◽  
Lms Algorithm ◽  
Transform Domain ◽  
Least Mean Square ◽  
Hartley Transform ◽  
The Time Domain

Abstract This paper presents a cost-effective The Frequency-domain Least-Mean-Square (FLMS) adaptive algorithm (or more generally the Transform-domain LMS adaptive algorithm) [12], [13] has mainly two advantages over the conventional LMS algorithm [19]. The first is that it overcomes the slow convergence of the LMS algorithm by orthogonalizing the input (thereby performing better than the LMS for correlated input signals) and the second advantage is that it can be used for implementing the time-domain Block LMS (BLMS) algorithms as well [18]. The Hartley transform is a newly introduced real-to-real transform that is a suitable replacement for the complex Fourier transform [1] and [2] in several adaptive filtering applications such as adaptive interference cancellation that has wide applicability to problems in telecommunications, biomedical engineering, etc. The realization of the Transform-domain BLMS adaptive algorithm based on the Discrete Hartley Transforms (DHT) and its implementation on the TMS320C30 digital signal processor chip is described.

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