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Modern wireless communication systems are designed to operate in multipath environments where the transmitted information arrives at the receiver after reflecting of various obstacles. A superposition of multiple delayed, frequency-phase shifted copies of the original signal arrive at the receiver. Diversity in the multipath channels is a result of variation between the angle-of- arrivals(AOA), delays and Doppler shifts of the individual channel components. To take full advantage of this diversity, multipath communication channels should be accurately modeled. For this purpose, communication systems utilize antenna arrays and sophisticated signal processing techniques to produce estimates for multipath channel parameters. This book, therefore, provides several different novel array signal processing techniques for identification of multipath communication channels based on cross ambiguity function(CAF) calculation, swarm intelligence and compressed sensing (CS) theory. Performances of the proposed techniques are verified both on synthetic and real data. The analysis should help shed some light on accurate modeling of wireless communication channels.
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Mehmet Burak Guldogan received his B.Sc, M.S and Ph.D degrees all in Electrical Engineering from Bilkent University, Ankara, Turkey. He is currently with the Electrical Engineering at the Linköping University.
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Multipath Channel Identification
Editore:
LAP LAMBERT Academic Publishing Mai 2011, 2011
ISBN 10: 3844397124
ISBN 13: 9783844397123
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Modern wireless communication systems are designed to operate in multipath environments where the transmitted information arrives at the receiver after reflecting of various obstacles. A superposition of multiple delayed, frequency-phase shifted copies of the original signal arrive at the receiver. Diversity in the multipath channels is a result of variation between the angle-of- arrivals(AOA), delays and Doppler shifts of the individual channel components. To take full advantage of this diversity, multipath communication channels should be accurately modeled. For this purpose, communication systems utilize antenna arrays and sophisticated signal processing techniques to produce estimates for multipath channel parameters. This book, therefore, provides several different novel array signal processing techniques for identification of multipath communication channels based on cross ambiguity function(CAF) calculation, swarm intelligence and compressed sensing (CS) theory. Performances of the proposed techniques are verified both on synthetic and real data. The analysis should help shed some light on accurate modeling of wireless communication channels. 184 pp. Englisch. Codice articolo 9783844397123
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Multipath Channel Identification
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844397124
ISBN 13: 9783844397123
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Guldogan Mehmet BurakMehmet Burak Guldogan received his B.Sc, M.S and Ph.D degrees all in Electrical Engineering from Bilkent University, Ankara, Turkey. He is currently with the Electrical Engineering at the Linkoeping University. Codice articolo 5477181
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Multipath Channel Identification : Novel Array Signal Processing Techniques Based On Swarm Intelligence
Editore:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844397124
ISBN 13: 9783844397123
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Modern wireless communication systems are designed to operate in multipath environments where the transmitted information arrives at the receiver after reflecting of various obstacles. A superposition of multiple delayed, frequency-phase shifted copies of the original signal arrive at the receiver. Diversity in the multipath channels is a result of variation between the angle-of- arrivals(AOA), delays and Doppler shifts of the individual channel components. To take full advantage of this diversity, multipath communication channels should be accurately modeled. For this purpose, communication systems utilize antenna arrays and sophisticated signal processing techniques to produce estimates for multipath channel parameters. This book, therefore, provides several different novel array signal processing techniques for identification of multipath communication channels based on cross ambiguity function(CAF) calculation, swarm intelligence and compressed sensing (CS) theory. Performances of the proposed techniques are verified both on synthetic and real data. The analysis should help shed some light on accurate modeling of wireless communication channels. Codice articolo 9783844397123
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Multipath Channel Identification
Editore:
LAP LAMBERT Academic Publishing Mai 2011, 2011
ISBN 10: 3844397124
ISBN 13: 9783844397123
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Modern wireless communication systems are designed to operate in multipath environments where the transmitted information arrives at the receiver after reflecting of various obstacles. A superposition of multiple delayed, frequency-phase shifted copies of the original signal arrive at the receiver. Diversity in the multipath channels is a result of variation between the angle-of- arrivals(AOA), delays and Doppler shifts of the individual channel components. To take full advantage of this diversity, multipath communication channels should be accurately modeled. For this purpose, communication systems utilize antenna arrays and sophisticated signal processing techniques to produce estimates for multipath channel parameters. This book, therefore, provides several different novel array signal processing techniques for identification of multipath communication channels based on cross ambiguity function(CAF) calculation, swarm intelligence and compressed sensing (CS) theory. Performances of the proposed techniques are verified both on synthetic and real data. The analysis should help shed some light on accurate modeling of wireless communication channels.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch. Codice articolo 9783844397123
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Multipath Channel Identification | Novel Array Signal Processing Techniques Based On Swarm Intelligence
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844397124
ISBN 13: 9783844397123
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Taschenbuch. Condizione: Neu. Multipath Channel Identification | Novel Array Signal Processing Techniques Based On Swarm Intelligence | Mehmet Burak Guldogan | Taschenbuch | 184 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844397123 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 106960319
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Multipath Channel Identification: Novel Array Signal Processing Techniques Based On Swarm Intelligence
Editore:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844397124
ISBN 13: 9783844397123
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Da: Mispah books, Redhill, SURRE, Regno Unito
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA75838443971246
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