Skip to main content
IEEE Transactions on Signal ProcessingVolume 50, Issue 8, August 2002, Pages 1877-1882

Local echo canceler with optimal input for true full-duplex speech scrambling system(Article)

  Save all to author list
  • aInstitute of Applied Mathematics and Electronics, Belgrade, Serbia
  • bFaculty of Electrical Engineering, University of Belgrade, Belgrade, Serbia

Abstract

The purpose of this paper is to focus on the local echo-canceling problem of full-duplex scrambled speech communications over a two-wire telephone network when the scrambling transformation is located between the handset and body of a telephone. Such a design makes possible very efficient protection against electromagnetic compromising emanation, which in turn substantially enhances the overall security of a protected communication. We propose a new adaptive FIR filter algorithm for local echo cancellation in such applications. The proposed algorithm differs from the conventional one by the construction of input signals in an optimal way using the D-optimal experiment design. In this way, at each step, we generate a new sample of the D-optimal pilot sequence for the filter parameter estimation. Consequently, the adaptation of the local echo canceler is defined as an initialization process in the first phase of each protected telephone call. The advantage in using the proposed adaptive FIR echo canceler is demonstrated through simulation results.

Author keywords

Adaptive FIR filteringD-optimal inputLocal echo canceling

Indexed keywords

Engineering controlled terms:AlgorithmsComputer simulationElectromagnetismFIR filtersNetworks (circuits)Parameter estimationSpeech communicationTelephone systems
Engineering uncontrolled terms:Speech scrambling systems
Engineering main heading:Echo suppression
  • ISSN: 1053587X
  • CODEN: ITPRE
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1109/TSP.2002.800415
  • Document Type: Article

  Banjac, Z.D.; Inst. of Appl. Math. and Electronics, Yugoslavia;
© Copyright 2008 Elsevier B.V., All rights reserved.

Cited by 7 documents

Pavlović, M. , Banjac, Z. , Kovačević, B.
Approximate Kalman filtering by both M-robustified dynamic stochastic approximation and statistical linearization methods
(2023) Eurasip Journal on Advances in Signal Processing
Kovačević, B. , Milosavljević, M.M. , Veinović, M.
Robust digital processing of speech signals
(2017) Robust Digital Processing of Speech Signals
Kovačević, B. , Banjac, Z. , Milosavljević, M.
Adaptive digital filters
(2013) Adaptive Digital Filters
View details of all 7 citations
{"topic":{"name":"Adaptive Filter; Recursive Least Square; Least Squares Method","id":42393,"uri":"Topic/42393","prominencePercentile":12.739037,"prominencePercentileString":"12.739","overallScholarlyOutput":0},"dig":"2432c84de5f6a20ad14644511fa01abc95ae59b166899e019737f6a773d1eba2"}

SciVal Topic Prominence

Topic:
Prominence percentile: