lms algorithm
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Optik ◽  
2022 ◽  
Vol 251 ◽  
pp. 168033
Author(s):  
Chao Zhang ◽  
Yao Mao ◽  
Xi Zhou ◽  
Yu Chen ◽  
Ge Ren

Author(s):  
Ming Liu ◽  
Mingxiang Guan ◽  
Zhou Wu ◽  
Chongwu Sun ◽  
Weifeng Zhang ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Bin Wang ◽  
Yanjing Sun ◽  
Yang Liu ◽  
Yuzhi Zhang ◽  
Song Li

The navigation satellites are running at a high altitude of 20000 km from the ground, and the satellite signals arriving at the ground are very weak, such as the C/A code on the L1 band, which is only -160 dBW. In complex urban environments, especially when there is an occlusion, the signal power will be even lower. Low power causes the signal to be easily disturbed, where suppressed interference is the most common method of interference. The purpose of this paper is to experiment with the BPSK and BOC signal system to do the narrowband suppression of interference analysis and set up the actual test environment, based on the commonly used LMS algorithm for the two systems of narrowband interference performance contrast analysis, and throughout the simulation, it can be seen that the two improved algorithms can effectively suppress narrowband interference, thus improving the anti-interference performance of satellite navigation receiver.


2021 ◽  
pp. 103362
Author(s):  
Muhammad Arif ◽  
Imran Naseem ◽  
Muhammad Moinuddin ◽  
Abdulrahman U. Alsaggaf ◽  
Ubaid M. Al-Saggaf

2021 ◽  
pp. 103359
Author(s):  
Khaled Jamal Bakri ◽  
Eduardo Vinicius Kuhn ◽  
Rui Seara ◽  
Jacob Benesty ◽  
Constantin Paleologu ◽  
...  

Author(s):  
Yujiao Ding ◽  
Yue Wang ◽  
Yuchen Yang ◽  
Cong Du ◽  
Wei Dong

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Sihai Zhao ◽  
Jiangye Xu ◽  
Yuyan Zhang

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.


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