By Edited by: Thomas Kaiser, André Bourdoux, Holger Boche, Javier Rodríguez Fonollosa, Jørgen Bach Andersen, and Wolfgang Utschick
Clever Antennas—State of the paintings brings jointly the wide services of forty-one ecu specialists in clever antennas. they supply a complete evaluate and an intensive research of the hot growth and new effects generated over the past years in just about all fields of clever antennas More...
and MIMO (multiple-input multiple-output) transmission. the subsequent represents a summarized desk of content.
Receiver: space-time processing, antenna combining, decreased rank processing, strong beamforming, subspace tools, synchronization, equalization, multi-user detection, iterative methods.
Channel: propagation, measurements and sounding, modeling, channel estimation, direction-of-arrival estimation, subscriber place estimation.
Transmitter: space-time block coding, channel aspect info, unified layout of linear transceivers, ill-conditioned channels, MIMO-MAC strategies.
Network thought: channel ability, community skill, multihop networks.
Technology: antenna layout, transceivers, demonstrators and testbeds, destiny air interfaces.
Applications and structures: 3G process and hyperlink point elements, MIMO HSDPA, MIMO-WLAN/UMTS implementation issues.
This booklet serves as a reference for scientists and engineers who must be conscious of the vanguard learn in multiple-antenna communications, a vital expertise for rising broadband instant platforms.
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Additional info for Smart Antennas: State of the Art (Eurasip Book Series on Signal Processing & Communications)
At convergence of the iterative approach), the accuracy of the estimate is the same that would be obtained from an entire block of training symbols. , SISO, SIMO, or MIMO). The presentation here is carried out at first for the uplink of a TDMA SIMO system, as this is the most intuitive case. An application to time-slotted CDMA systems, such as the third-generation TD-SCDMA mobile standards [11, 12], is proposed in the final part of the section. The extension to OFDM systems can be found in .
3. Since α1 = α2 , α3 = α4 , and τ4 = τ5 , the spatial and temporal diversity orders are, respectively, qS = q = 3 and qT = 4. The SB and MB (for L → ∞) estimates are calculated by using as rank orders qS = q = 1 ÷ 3, qT = 1 ÷ 4. 3 compares the PDA diagrams of all channel estimates for = 1 and illustrates how the projection onto the short-long term spatial-temporal channel subspace reduces the estimate error with respect to the preliminary unconstrained estimate. The comparison shows that the most accurate estimate is obtained by double projection (both spatial and temporal) onto the long-term subspaces.
Still, it has to be noticed that this extreme condition is quite unlikely when the iterative processing converges, as the signal-to-noise ratio and the data estimate variance σd2 are highly correlated with each other. 1. 2 (rows 5–7) for ¯ d = Cd = σs2 Zd IW . 5. A block transmission system is considered where L = 20 blocks are transmitted over a block-fading Rayleigh channel to a uniform linear antenna array of N = 8 elements with halfwavelength interelement spacing. 2]T. 75. It follows that qS = 2, qT = 6.
Smart Antennas: State of the Art (Eurasip Book Series on Signal Processing & Communications) by Edited by: Thomas Kaiser, André Bourdoux, Holger Boche, Javier Rodríguez Fonollosa, Jørgen Bach Andersen, and Wolfgang Utschick