Blind separation of bpsk signals using newton's method on the stiefel manifold

Jun Lu, T. N. Davidson, Z. Q. Luo

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)301-304
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - 2003
Event2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong
Duration: Apr 6 2003Apr 10 2003


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