Skip to content
Free planNo credit card requiredStart writing
AI for Research home
AI for Research home
Dashboard
Sign inGet started

article · Diva portal (Dalarna University Library) · 2005

The Projection Approximation Subspace Tracking Algorithm Applied to Whitening and Independent Component Analysis in Wireless Communications

Ronnie Landqvist, Abbas Mohammed

Cited by 2Open access

Abstract

In Blind Source Separation (BSS) the objective is to extract source signals from their linear mixtures. Algorithms developed for Independent Component Analysis (ICA) have proven useful in the field of BSS. The Projection Approximation Subspace Tracking with Deflation (PASTD) algorithm, originally developed for subspace tracking, has been extended by using a nonlinear cost function so that it may be used for ICA/BSS. Such algorithms most often require the input signals to be white. In this report we extend the PASTD algorithm so that it can be used to whiten signals as a pre-processing step before ICA. The performance of the ICA-algorithm is then evaluated for different choices of whitening algorithms. The algorithms are also evaluated for Binary Phase Shift Keying (BPSK) modulated data over Rayleigh fading channels usually encountered in wireless communications.

Cite this paper

APA 7

Landqvist, R., & Mohammed, A. (2005). The Projection Approximation Subspace Tracking Algorithm Applied to Whitening and Independent Component Analysis in Wireless Communications. Diva portal (Dalarna University Library).

MLA 9

Landqvist, Ronnie, and Abbas Mohammed. “The Projection Approximation Subspace Tracking Algorithm Applied to Whitening and Independent Component Analysis in Wireless Communications.” Diva portal (Dalarna University Library), 2005.

Chicago

Landqvist, Ronnie, and Abbas Mohammed. 2005. “The Projection Approximation Subspace Tracking Algorithm Applied to Whitening and Independent Component Analysis in Wireless Communications.” Diva portal (Dalarna University Library).

Harvard

Landqvist, R. and Mohammed, A. (2005) ‘The Projection Approximation Subspace Tracking Algorithm Applied to Whitening and Independent Component Analysis in Wireless Communications’, Diva portal (Dalarna University Library).

BibTeX
@article{landqvist2005projection,
  title = {{The Projection Approximation Subspace Tracking Algorithm Applied to Whitening and Independent Component Analysis in Wireless Communications}},
  author = {Landqvist, Ronnie and Mohammed, Abbas},
  journal = {Diva portal (Dalarna University Library)},
  year = {2005}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.

Related papers