An Efficient, RLS (Recursive-Least-Squares) Data-Driven Echo Canceller for Fast Initialization of Full-Duplex Data Transmission,

1985 ◽  
Author(s):  
J. M. Cioffi ◽  
T. Kailath
Keyword(s):  
Least Squares ◽  
Data Transmission ◽  
Recursive Least Squares ◽  
Data Driven ◽  
Full Duplex ◽  
Echo Canceller

scholarly journals Application of Diversity Combining with RLS Adaptive Filtering in Data Transmission in a Hydroacoustic Channel

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7255
Author(s):  
Agnieszka Czapiewska ◽  
Andrzej Luksza ◽  
Ryszard Studanski ◽  
Andrzej Zak
Keyword(s):  
Least Squares ◽  
Adaptive Filtering ◽  
Data Transmission ◽  
Intersymbol Interference ◽  
Multipath Propagation ◽  
Recursive Least Squares ◽  
Diversity Combining ◽  
Quality Of Data ◽  
Transmission Parameters

When transmitting data in a hydroacoustic channel under difficult propagation conditions, one of the problems is intersymbol interference (ISI) caused mainly by the effect of multipath propagation. This phenomenon leads to a decrease in transmission parameters, and sometimes completely prevents it. Therefore, we have made an attempt to use diversity combining with Recursive Least Squares (RLS) adaptive filtering to improve the quality of data transmission in a hydroacoustic channel with strong reflections. The method was tested in simulation and during measurements in a real environment. The influence of the method on data transmission in the hydroacoustic channel was examined in detail. The obtained results allow us to draw conclusions regarding the purposefulness of use of diversity combining and RLS adaptive filtering in order to improve the quality of data transmission by reducing the effect of ISI.

scholarly journals SDR Proof-of-Concept of Full-Duplex Jamming for Enhanced Physical Layer Security

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 856
Author(s):  
André Silva ◽  
Marco Gomes ◽  
João P. Vilela ◽  
Willie K. Harrison
Keyword(s):  
Least Squares ◽  
Software Defined Radio ◽  
Physical Layer Security ◽  
Physical Layer ◽  
Recursive Least Squares ◽  
Full Duplex ◽  
Noise Generation ◽  
Mean Square ◽  
Least Mean Square ◽  
Prototype Implementation

In order to secure wireless communications, we consider the usage of physical-layer security (PLS) mechanisms (i.e., coding for secrecy mechanisms) combined with self-interference generation. We present a prototype implementation of a scrambled coding for secrecy mechanisms with interference generation by the legitimate receiver and the cancellation of the effect of self-interference (SI). Regarding the SI cancellation, four state-of-the-art algorithms were considered: Least mean square (LMS), normalized least mean square (NLMS), recursive least squares (RLS) and QR decomposition recursive least squares (QRDRLS). The prototype implementation is performed in real-world software-defined radio (SDR) devices using GNU-Radio, showing that the LMS outperforms all other algorithms considered (NLMS, RLS and QRDRLS), being the best choice to use in this situation (SI cancellation). It was also shown that it is possible to secure communication using only noise generation by the legitimate receiver, though a variation of the packet loss rate (PLR) and the bit error rate (BER) gaps is observed when moving from the fairest to an advantageous or a disadvantageous scenario. Finally, when noise generation was combined with the adapted scrambled coding for secrecy with a hidden key scheme, a noteworthy security improvement was observed resulting in an increased BER for Eve with minor interference to Bob.

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