Blind extraction algorithm with direct desired signal selection.

B.B.A.J. Bloemendal, J. Laar, van de, P.C.W. Sommen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
126 Downloads (Pure)


In many practical applications we are interested in the extraction of only one desired signal out of a mixture of signals. A disadvantage of most blind extraction approaches proposed in the literature is that they are inefficient in the sense that they also separate or extract undesired signals. To deal with this inefficiency we exploit an a priori guess of direction of arrival related parameters of the desired signal, which serves as a mold. Based on this mold we create linear combinations of noise-free correlation matrices that are used to construct a single matrix with a specific eigenstructure. The eigenvector that corresponds to the smallest eigenvalue of this matrix is the desired extraction filter. Finally it is shown that this approach paves the way to make the algorithm flexible in the utilization of additional a priori information.
Original languageEnglish
Title of host publicationProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2010), 4-7 October 2010, Jerusalem, Israel
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Print)978-1-4244-9395-1
Publication statusPublished - 2010


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