Blind separation of BPSK signals

Central Publication

• Jun Lu, Timothy N. Davidson and Zhi-Quan (Tom) Luo.
  Blind separation of BPSK signals using Newton's method on the Stiefel manifold.
  In Proceedings of the 2003 International Conference on Acoustics, Speech and Signal Processing,
  IV:301-304, Hong Kong, April 2003.

Abstract

• We propose a new approach to solving the problem of blind separation of BPSK signals. Using the constant modulus property of the signal, we formulate this problem as a constrained minimization problem that can be solved efficiently using an extended Newton's method on the Stiefel manifold. Compared with the existing separation methods, the proposed method is quite robust to additive noise, achieves a low bit error rate, and enjoys a quadratic convergence rate and a low computational complexity. Simulation results show that our method is a competitive blind separation method.

Paper

• The paper is available as a pdf file

Back to my publications-by-topic page.