Capacity of measured ricean and rayleigh indoor MIMO channels at 2.4 GHz with polarization and spatial diversity

Anreddy, V.R.; Ingram, M.A.

doi:10.1109/wcnc.2006.1683597

Cited by 54 publications

(43 citation statements)

References 11 publications

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“…The small-scale variations are removed by averaging over the 144 combinations of Tx and Rx antenna array elements. The XPD for H and V for each position are given by: [5][6][7], it is noted that there is slightly more depolarization for V than for H. …”

Section: Xpd Of Measured Channelsmentioning

confidence: 99%

Polarization Properties of Specular and Dense Multipath Components in a Large Industrial Hall

Gaillot

Tanghe

Joseph

et al. 2015

IEEE Trans. Antennas Propagat.

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This paper presents an analysis of the polarization characteristics of specular and dense multipath components (SMC & DMC) in a large industrial hall based on frequency-domain channel sounding experiments at 1.3 GHz with 22 MHz bandwidth. The RiMAX maximum-likelihood estimator is used to extract the full polarimetric SMC and DMC from the measurement data by taking into account the polarimetric radiating patterns of the dual-polarized antennas. Cross-polar discrimination (XPD) values are presented for the measured channels and for the SMC and DMC separately.

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Section: Xpd Of Measured Channelsmentioning

confidence: 99%

Polarization Properties of Specular and Dense Multipath Components in a Large Industrial Hall

Gaillot

Tanghe

Joseph

et al. 2015

IEEE Trans. Antennas Propagat.

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“…This redundancy can be transmitted at any time, from any antenna, over any frequency or at any polarization. Two kinds of spatial diversity need to be considered: (i)Tx where a signal copy is transmitted through more than one antenna, (ii) Rx-Diversity, where the received signal is multiple evaluated [12].…”

Section: B Spatial Diversitymentioning

confidence: 99%

Performance Analysis of MIMO-OFDM System Using Singular Value Decomposition and Water Filling Algorithm

Noor-A-Rahim¹,

Islam²,

Anjum³

et al. 2011

IJACSA

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Abstract-In this paper, MIMO is paired up with OFDM to improve the performance of wireless transmission systems. Multiple antennas are employed both at the transmitting as well as receiving ends. The performance of an OFDM system is measured, considering multipath delay spread, channel noise, Rayleigh fading channel and distortion. In this paper, bits are generated and then mapped with modulation schemes such as QPSK, 8PSK, and QAM. Then, the mapped data is divided into blocks of 120 modulated data where a training sequence of the data is inserted both at the beginning and ending parts of the block. The equalization is used to determine the variation to the rest of data. The singular value decomposition (SVD) and water filling algorithm have been employed to measure the performance of the MIMO-OFDM integrated systems. Therefore, the capacity is increased by transmitting different streams of data through different antennas at a same carrier frequency. Any intersymbol interference (ISI) produced after the transmission is recovered by using spatial sampling integrated with the signal processing algorithm. Furthermore, the performance remains the same with different combinations of transmitting and receiving antennas.

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“…Ie-;;v Gji('ljJAOA)G~('l/!AOD) sinOp + JK~lvP;hhvl (6) where P r is the total received power at the receiver. It can be approximated that in strong LOS scenario where the Ricean…”

Section: --Yr-gr('l/jaoa)gt('tpaod)cos()p + V K+fvprhvvmentioning

confidence: 99%

“…[3]- [6] performed the measurement for indoor propagation environments and studied the polarization effects in such scenario. [7], [8] investigated the channel properties for outdoor environment.…”

Section: Introductionmentioning

confidence: 99%

Polarization characteristics of multiple-input multiple-output channels

Jiang

Thiele

Brylka

et al. 2008

2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications

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Abstract-In this paper, we investigate the polarization characteristics of the multiple-input multiple-output (MIMO) channels. The cross polarization discrimination (XPD) is found to change over time, while its variation in frequency domain is relatively small. The probability density function (PDF) of the XPD follows a Gaussian distribution. Analysis and measurement results show that the polarization preserves better in the line of sight (LOS) scenario. In the case of non line of sight (NLOS) scenario, the polarization of the signals is destroyed due to multiple reflections, diffractions or scattering. The difference between the XPDs of the vertically polarized and horizontally transmission highly depends on the specific propagation environment between the transmitter and the receiver. Comparison of the capacity in different scenarios further shows that the polarization diversity gain is less in NLOS scenarios compared with that in LOS scenarios.

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Capacity of measured ricean and rayleigh indoor MIMO channels at 2.4 GHz with polarization and spatial diversity

Cited by 54 publications

References 11 publications

Polarization Properties of Specular and Dense Multipath Components in a Large Industrial Hall

Polarization Properties of Specular and Dense Multipath Components in a Large Industrial Hall

Performance Analysis of MIMO-OFDM System Using Singular Value Decomposition and Water Filling Algorithm

Polarization characteristics of multiple-input multiple-output channels

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