On Discrete-Time Modeling of Time-Varying WSSUS Fading Channels
The general property of noncommutativity of linear time-varying (LTV) systems has to be considered when a digital transmission system composed of LTV channel and transmit/receive filtering shall be represented in the equivalent discrete-time domain. In this correspondence, we analyze the implication...
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Published in | IEEE transactions on vehicular technology Vol. 59; no. 7; pp. 3645 - 3651 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York, NY
IEEE
01.09.2010
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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Abstract | The general property of noncommutativity of linear time-varying (LTV) systems has to be considered when a digital transmission system composed of LTV channel and transmit/receive filtering shall be represented in the equivalent discrete-time domain. In this correspondence, we analyze the implications of serially concatenated LTV systems with respect to the discrete-time representation of wide-sense stationary uncorrelated scattering (WSSUS) fading channels. We provide a detailed discussion of the largest tolerable channel Doppler spread (in relation to the system bandwidth) for which the concatenation is commutative in good approximation. In this case, the discrete-time description facilitates an efficient simulation model. The approximation accuracy is quantified by a detailed error analysis and further verified by numerical simulation adopting Universal Mobile Telecommunications System (UMTS) parameters. |
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AbstractList | The general property of noncommutativity of linear time-varying (LTV) systems has to be considered when a digital transmission system composed of LTV channel and transmit/receive filtering shall be represented in the equivalent discrete-time domain. In this correspondence, we analyze the implications of serially concatenated LTV systems with respect to the discrete-time representation of wide-sense stationary uncorrelated scattering (WSSUS) fading channels. We provide a detailed discussion of the largest tolerable channel Doppler spread (in relation to the system bandwidth) for which the concatenation is commutative in good approximation. In this case, the discrete-time description facilitates an efficient simulation model. The approximation accuracy is quantified by a detailed error analysis and further verified by numerical simulation adopting Universal Mobile Telecommunications System (UMTS) parameters. |
Author | Chengshan Xiao Sgraja, C Jun Tao |
Author_xml | – sequence: 1 givenname: C surname: Sgraja fullname: Sgraja, C email: csgraja@qualcomm.com organization: Qualcomm CDMA Technol. GmbH, Nuremberg, Germany – sequence: 2 surname: Jun Tao fullname: Jun Tao email: jtb84@mail.missouri.edu organization: Dept. of Electr. & Comput. Eng., Univ. of Missouri, Columbia, MO, USA – sequence: 3 surname: Chengshan Xiao fullname: Chengshan Xiao email: xiaoc@mst.edu organization: Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO, USA |
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Keywords | discrete-time systems time-varying systems Error analysis Error estimation Wireless telecommunication Linear time Approximation methods Modeling Time variation system modeling Digital system Time varying system Accuracy Fading channels Mobile radiocommunication Filtering Approximate method Discrete time systems Digital transmission Concatenation Time domain method Discrete time UMTS system Numerical simulation System simulation |
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SubjectTerms | 3G mobile communication Applied sciences Approximation Approximation methods Bandwidth Channels Computer simulation Concatenated codes Detection, estimation, filtering, equalization, prediction Digital filters discrete-time systems Equipments and installations Error analysis Exact sciences and technology Fading fading channels Filtering Information, signal and communications theory Mathematical analysis Mathematical models Mobile radiocommunication systems Nonlinear filters Numerical simulation Radiocommunications Scattering Signal and communications theory Signal, noise Spreads system modeling Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory time-varying systems Transmission and modulation (techniques and equipments) |
Title | On Discrete-Time Modeling of Time-Varying WSSUS Fading Channels |
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