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Optimum self-reference spatial diversity processing for FDSS and FH communication systems
dc.contributor.author | Pérez Palomar, Daniel |
dc.contributor.author | Lagunas Hernandez, Miguel A. |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2016-06-29T12:41:45Z |
dc.date.available | 2016-06-29T12:41:45Z |
dc.date.issued | 2000 |
dc.identifier.citation | Pérez, D., Lagunas, M. Optimum self-reference spatial diversity processing for FDSS and FH communication systems. A: European Signal Processing Conference. "EUSIPCO 2000: Signal processing X: theories and applications: proceedings of EUSIPCO 2000, Tenth European Signal Processing Conference: Tampere, Finland: 4-8 September 2000". Tampere: Institute of Electrical and Electronics Engineers (IEEE), 2000, p. 1-4. |
dc.identifier.isbn | 978-952-1504-43-3 |
dc.identifier.uri | http://hdl.handle.net/2117/88378 |
dc.description.abstract | In 1996, a new spread spectrum communication system, called Frequency Diversity Spread Spectrum (FDSS), was proposed as a system to mitigate the problems of the common spread spectrum techniques. In this paper, two blind self-reference optimum beamforming methods tailored for the FDSS signalling scheme using the trivial repetition code are derived based on the inherent cross-correlation properties present among all the frequency bands. The method is also applicable to fast Frequency Hopping (FH) systems. The proposed methods use the information of the all the frequency bins jointly to yield optimum beamforming in the sense of maximum Signal to Interference-plus-Noise Ratio (SINR). One method computes all the beamvectors jointly performing a single generalized eigenvector computation. The other calculates each beamvector independently aiming at a parallel implementation. The two methods are analytically studied and tested via Monte-Carlo simulations. They are compared to other existing methods in terms of bit error rate, outperforming them and showing a performance close to the optimum value. |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
dc.subject.lcsh | Signal processing |
dc.subject.lcsh | Telecommunication systems |
dc.subject.other | Array signal processing |
dc.subject.other | Bit error rate |
dc.subject.other | Equations |
dc.subject.other | Interference |
dc.title | Optimum self-reference spatial diversity processing for FDSS and FH communication systems |
dc.type | Conference report |
dc.subject.lemac | Tractament del senyal |
dc.subject.lemac | Telecomunicació, Sistemes de |
dc.contributor.group | Universitat Politècnica de Catalunya. A&MP - Grup de Processament d'Arrays i Sistemes Multicanal |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7075659 |
dc.rights.access | Open Access |
local.identifier.drac | 2377445 |
dc.description.version | Postprint (published version) |
local.citation.author | Pérez, D.; Lagunas, M. |
local.citation.contributor | European Signal Processing Conference |
local.citation.pubplace | Tampere |
local.citation.publicationName | EUSIPCO 2000: Signal processing X: theories and applications: proceedings of EUSIPCO 2000, Tenth European Signal Processing Conference: Tampere, Finland: 4-8 September 2000 |
local.citation.startingPage | 1 |
local.citation.endingPage | 4 |