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A parametric model for the distribution of the angle of arrival and the associated correlation function and power spectrum at the mobile station
 IEEE Trans. Veh. Technol
, 2002
"... Abstract _ _ One of the main assumptions in the Clarke’s classic channel model is isotropic scattering, i.e. uniform distribution for the angle of arrival of multipath components at the mobile station. However, in many mobile radio channels we encounter nonisotropic scattering, which strongly affec ..."
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Cited by 47 (10 self)
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Abstract _ _ One of the main assumptions in the Clarke’s classic channel model is isotropic scattering, i.e. uniform distribution for the angle of arrival of multipath components at the mobile station. However, in many mobile radio channels we encounter nonisotropic scattering, which strongly affects the correlation function and power spectrum of the complex envelope at the mobile receiver. In this contribution, we propose the use of the versatile von Mises angular distribution, which includes and/or closely approximates important distributions like uniform, impulse, cardioid, Gaussian, and wrapped Gaussian, for modeling the nonuniform angle of arrivals at the mobile. Based on this distribution, associated correlation function and power spectrum of the complex envelope at the mobile receiver are derived. The utility of the new results is demonstrated by comparison with the correlation function estimates of measured data. Point of contact: Ali Abdi
An improved deterministic SoS channel simulator for efficient simulation of multiple uncorrelated Rayleigh fading channels
 IEEE Trans. Wireless Commun
"... Abstract—The generation of multiple uncorrelated Rayleigh fading waveforms is often demanded for simulating wideband fading channels, multipleinput multipleoutput (MIMO) channels, and diversitycombined fading channels. In this letter, an improved deterministic sumofsinusoids (SoS) channel simul ..."
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Cited by 7 (7 self)
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Abstract—The generation of multiple uncorrelated Rayleigh fading waveforms is often demanded for simulating wideband fading channels, multipleinput multipleoutput (MIMO) channels, and diversitycombined fading channels. In this letter, an improved deterministic sumofsinusoids (SoS) channel simulator with a new parameter computation method is proposed to simulate a large number of uncorrelated Rayleigh fading processes. Compared with the existing SoS channel simulators, the proposed deterministic SoS model yields a much better simulation efficiency while still preserving satisfactory approximations to the desired statistical properties of the reference model. Index Terms—Uncorrelated Rayleigh fading processes, sumofsinusoids channel simulator, parameter computation method, correlation properties. I.
Stochastic Modeling and Simulation of FrequencyCorrelated Wideband Fading Channels
 IEEE Transactions on Vehicular Technology
, 2007
"... Abstract—For the simulation of practical frequencydiversity wireless communication systems, such as frequencyhopping systems, multicarrier codedivision multipleaccess systems, and orthogonal frequencydivision multiplexing systems, it is often desirable to produce multiple Rayleigh fading proces ..."
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Cited by 4 (0 self)
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Abstract—For the simulation of practical frequencydiversity wireless communication systems, such as frequencyhopping systems, multicarrier codedivision multipleaccess systems, and orthogonal frequencydivision multiplexing systems, it is often desirable to produce multiple Rayleigh fading processes with given frequency correlation properties. In this paper, a novel stochastic widesense stationary sumofsinusoids channel simulator is proposed to emulate frequencycorrelated wideband fading channels, where the frequency correlation properties are controlled by only adjusting the constant phases. Closedform expressions are provided for all the parameters of the simulation model. This enables us to investigate analytically the overall correlation properties (not only the correlation coefficients) of the simulated processes with respect to both time separation and frequency separation. It is shown that the wideband channel simulator will be reduced to a narrowband Rayleigh fadingchannel simulator by removing the frequency selectivity. Furthermore, the COST 207 typicalurban and ruralarea channels are applied to evaluate the performance of the resulting wideband and narrowband channel simulators, respectively. The correlation properties of the simulation models approach the desired ones of the underlying reference models as the number of exponential functions tends to infinity, while very good approximations are achieved with the chosen limited number of exponential functions. Index Terms—Frequency correlation, Rayleigh fading channels, statistics, stochastic sumofsinusoids channel simulators, wideband fading channels. I.
TimeVarying Fading Channels
, 2000
"... L. Moses, Introduction to Spectral Analysis, Prentice Hall, 1997. [89] Suzuki, "A statistical model for urban radio propagation", IEEE Transactions on Communications, Vol. 25, pp.6[. 1977. [90] C. Tepedelenlioglu, "Deterministic blind estimation of time and frequency selective fadi ..."
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Cited by 3 (0 self)
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L. Moses, Introduction to Spectral Analysis, Prentice Hall, 1997. [89] Suzuki, "A statistical model for urban radio propagation", IEEE Transactions on Communications, Vol. 25, pp.6[. 1977. [90] C. Tepedelenlioglu, "Deterministic blind estimation of time and frequency selective fading channels using filterbank precoders", Proc. of the 2nd IEEE Workshop on Signal Proc. Advances in Wireless Communications, pp. 74  77, Annapolis (MD), May 912, 1999. [91] M.K. Tsatsanis, G.B. Giannakis, "Equalization of rapidly fading channels: selfrecovering methods", IEEE Transactions on Communications,Vol. 44, No. 5, pp.6[ May 1996[ [92] M.K. Tsatsanis, G.B. Giannakis, G. Zhou, "Estimation and equalization of fading channels with random coefficients", Signal Processing,vol. 53, No. 23, pp.211229, Sept. 1996[ [93] M.K. Tsatsanis, G.B. Giannakis, "Subspace methods for blind estimation of timevarying FIR channels", IEEE Transactions on Signal Processing,Vol. 45, No. 12 , pp. 30843093, Dec. 1
Matchedfilter bound for binary signaling over dispersive fading channels with receive diversity
 IEEE Trans. Communications
, 2004
"... Abstract—The matchedfilter bound (MFB) for continuously dispersive Rayleigh fading channels with receive diversity is derived. The treatment is quite general, as the case of discrete multipath channels with correlated fading is included in our model as a special case, and we impose no constraints w ..."
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Abstract—The matchedfilter bound (MFB) for continuously dispersive Rayleigh fading channels with receive diversity is derived. The treatment is quite general, as the case of discrete multipath channels with correlated fading is included in our model as a special case, and we impose no constraints with regard to the selectivity of the channel. It is assumed that a statistical characterization of the channel is available through its directiondelayDoppler power spectral density. The Karhunen–Loève expansion for vector processes is used to describe the received signal. The MFB is analyzed with respect to several parameters characterizing the mobile radio channel, the waveform, and the antenna configuration. Index Terms—Antenna diversity, error probability. I.
LOWCOMPLEXITY MMSE CHANNEL ESTIMATOR for SPACE TIME CODED OFDM SYSTEMS with TRANSMITTER DIVERSITY
"... Focusing on transmit diversity orthogonal frequency division multiplexing (OFDM) transmission through frequency selective channels, this paper pursues a novel channel estimation approach for spacetime OFDM (STOFDM) systems. The paper first proposes a computationally efficient, pilotaided linear m ..."
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Focusing on transmit diversity orthogonal frequency division multiplexing (OFDM) transmission through frequency selective channels, this paper pursues a novel channel estimation approach for spacetime OFDM (STOFDM) systems. The paper first proposes a computationally efficient, pilotaided linear minimum mean square error (MMSE) batch channel estimation algorithm for OFDM systems with transmitter diversity in unknown wireless fading channels. The proposed approach employs a convenient representation of the discrete multipath fading channel based on the KarhunenLoeve (KL) orthogonal expansion and finds MMSE estimates of the uncorrelated KL series expansion coefficients. Based on such an expansion, no matrix inversion is required in the proposed MMSE estimator. Moreover, by exploiting the nature of the wireless OFDM channel the computations for estimating the channels for the OFDM systems with transmit diversity are carried out in the time domain instead of the frequency domain which decreases the computation load significantly. 1.
KLExpansion Based Channel Estimator for Spacetime/frequency Coded OFDM Systems with Transmitter Diversity
"... Focusing on transmit diversity orthogonal frequency division multiplexing (OFDM) transmission through frequency selective channels, this paper pursues a channel estimation approach in timedomain for both spacefrequency OFDM (SFOFDM) and spacetime OFDM (STOFDM) systems. The paper proposes a comp ..."
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Focusing on transmit diversity orthogonal frequency division multiplexing (OFDM) transmission through frequency selective channels, this paper pursues a channel estimation approach in timedomain for both spacefrequency OFDM (SFOFDM) and spacetime OFDM (STOFDM) systems. The paper proposes a computationally efficient, pilotaided linear minimum mean square error (MMSE) timedomain channel estimation algorithm for OFDM systems with transmitter diversity in unknown wireless fading channels. The proposed approach employs a convenient representation of the channel impulse responses based on the KarhunenLoeve (KL) orthogonal expansion and finds MMSE estimates of the uncorrelated KL series expansion coefficients. Based on such an expansion, no matrix inversion is required in the proposed MMSE estimator. The performance of the proposed approach is studied through analytical and experimental results. 1
FREQUENCY SELECTIVE FADING CHANNEL ESTIMATION IN OFDM SYSTEMS USING KL EXPANSION
"... This paper proposes a computationally efficient, linear minimum mean square error (MMSE) channel estimation algorithm based on KL series expansion for OFDM systems. Based on such expansion, no matrix inversion is required in the proposed MMSE estimator. Moreover, truncation in the linear expansion o ..."
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This paper proposes a computationally efficient, linear minimum mean square error (MMSE) channel estimation algorithm based on KL series expansion for OFDM systems. Based on such expansion, no matrix inversion is required in the proposed MMSE estimator. Moreover, truncation in the linear expansion of channel is achieved by exploiting the optimal truncation property of the KL expansion resulting in a smaller computational load on the estimation algorithm. The performance of the proposed approach is studied through analytical and experimental results. We provide performance analysis results studying the influence of the effect of SNR and correlation mismatch on the estimator performance. Simulation results confirm our theoretical results and illustrate that the proposed algorithm is capable of tracking fast fading and improving performance. 1.
Signal Processing Advances in Communications Volume II: Trends in Singleand MultiUser Systems Edited by
"... 4.1.1 Deterministic models 4 4.1.2 Stochastic models 10 ..."
A Diversity Channel Model Using Multiple TappedDelay Lines Characterized by LagDelay Correlations
"... A channel model is proposed for the purpose of MonteCarlo simulation of the frequencyselective #wideband# vector channel between a subscriber and an arrayenhanced base station. The model is de#ned in the baseband equivalent, discretetime domain and can therefore be represented as multiple tapped ..."
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A channel model is proposed for the purpose of MonteCarlo simulation of the frequencyselective #wideband# vector channel between a subscriber and an arrayenhanced base station. The model is de#ned in the baseband equivalent, discretetime domain and can therefore be represented as multiple tappeddelay lines #one per diversity branch#. It is based on the widesense stationary, uncorrelated scattering #WSSUS # assumption and includes not only the radio channel itself but also the transmitting and receiving #xed #lters. Each tap coe#cient corresponds to a complex gaussian variate which is correlated with other taps at di#erent branches and di#erent delays. The ensemble of tap coe#cients constitutes a complex multivariate gaussian process whose statistics can be entirely de#ned with an analyticallyderived lagdelay correlation function #where the term lag denotes spatial separation between two elements#.