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.
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: 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. Seller Inventory # 9783844397123
Seller: moluna, Greven, Germany
Condition: 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. Seller Inventory # 5477181
Quantity: Over 20 available
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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. Seller Inventory # 9783844397123
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: 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. Seller Inventory # 106960319
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: 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. Seller Inventory # 9783844397123
Seller: Mispah books, Redhill, SURRE, United Kingdom
Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Seller Inventory # ERICA75838443971246
Quantity: 1 available