Abstract
For the IMT-advanced broadband mobile communication systems, an accurate broadband channel model is significant to the system design. However, the broadband channel impulse response (CIR) becomes sensitive to the complex propagation impacts of both specular path and diffuse dense path in a rich-scattering environment. We propose a cross-estimation (CE)-based channel modeling method by which the dense diffusion components can be identified independently and separated successfully from the overall CIR. As a result, the parameter estimation accuracy can be obviously improved, regardless of the complex diffusion impact in a rich scattering environment. Both theoretical derivation and experimental results are given to validate it based on the typical broadband channel measurement with 100 MHz bandwidth at 2.6 GHz in an urban hotspot scenario in Shanghai.
Similar content being viewed by others
References
Sarkar T K, Zhong J, Kyungjung K, et al. A survey of various propagation models for mobile communication. IEEE Antenn Propag Mag, 2003, 45(3): 51–82
Molisch A F, Greenstein L J, Shafi M. Propagation issues for cognitive radio. Proc IEEE, 2009, 97(5): 787–804
Molisch A F. Ultra-wide-band propagation channels. Proc IEEE, 2009, 97(2): 353–371
Erceg V, Michelson D G, Ghassemzadeh S S, et al. A model for the multipath delay profile of fixed wireless channels. IEEE J Select Areas Commun, 1999, 17(3): 399–410
Krim H, Viberg M. Two decades of array signal processing research. IEEE Signal Process Mag, 1996. 13(4): 67–94
Schmidt R O. Multiple emitter location and signal parameter estimation. IEEE Trans Antennas Propag, 1986, 34: 276–280
Roy R, Kailath T. ESPRIT-estimation of signal parameters via rotational invariance techniques. IEEE Trans Acoust, Speech, Signal Process, 1989, 37(5): 984–999
Haardt M, Nossek J. Unitary ESPRIT: How to obtain increased estimation accuracy with a reduced computational burden. IEEE Trans Signal Process, 1995, 43: 1232–1242
Veen A, Vanderveen M, Paulraj A. Joint angle and delay estimation using shift-invariance properties. IEEE Signal Process Lett, 1997, 4: 142–145
Zoltowski M, Haardt M, Mathews C. Closed-form 2-D angle estimation with rectangular arrays in element space or beamspace via unitary ESPRIT. IEEE Trans Signal Process, 1996, 44: 316–328
Feder M, Weinstein E. Parameter estimation of superimposed signals using the EM algorithm. IEEE Trans Acoust, Speech, Signal Process, 1988, 36: 477–489
Fleury B H, Dahlhaus D, Heddergott R, et al. Wideband angle of arrival estimation using the SAGE algorithm. In: IEEE 4th Int Symp Spread Spectrum Techniques and Application, Mainz, Germany. 1996, 1: 79–85
Pedersen K, Fleury B, Mogensen P. High resolution of electromagnetic waves in time-varying radio channels. In: IEEE 8th Int Symp Personal, Indoor and Mobile Radio Communications, Helsinki, Finland. 1997, 2: 650–654
Pedersen K I, Mogensen P E, Fleury B H. A stochastic model of the temporal and azimuthal dispersion seen at the base station in outdoor propagation environments. IEEE Trans Veh Technol, 2002, 49(2): 437–447
Cassioli D, Win M Z, Molisch A F. The ultra-wide bandwidth indoor channel: from statistical model to simulations. IEEE J Select Areas Commun, 2002, 20(6): 1247–1257
Wax M, Kailath T. Detection of signals by information theoretic criteria. IEEE Trans Acoust, Speech, Signal Process, 1985, 33: 387–392
Akaike H. A new look at the statistical model identification. IEEE Trans Autom Control, 1974, 19(6): 716–723
Rissanen J. Modeling by shortest data description. Automatica, 1978, 14: 465–471
Poor H V. An Introduction to Signal Detection and Estimation. New York: Springer-Verlag, 1988
Fleury B H, Yin X, Rohbrandt K G, et al. Performance of a high-resolution scheme for joint estimation of delay and bidirection dispersion in the radio channel. In: IEEE Vehicular Technology Conference, Birmingham, US. 2002, 1: 522–526
Fessler J A, Hero A O. Space-alternating generalized expectationmaximization algorithm. IEEE Trans Signal Process, 1994, 42: 2664–2677
Wang P, Li Y Z, Chang R T, et al. Radio propagation characteristics measurement and modeling at urban scenario for 4G mobile communication (in Chinese). Chin J Radio Sci, 2008, 23(6): 1159–1163
Author information
Authors and Affiliations
Corresponding author
Additional information
Supported by the National High-Tech Research & Development Program of China (Grant No. 2009AA01152) and the National Major Program of China (Grant No. 2009ZX03007-003)
Rights and permissions
About this article
Cite this article
Wang, P., Li, Y., Sun, K. et al. High-resolution cross-estimation channel modelling method and experimental results on broadband mobile communication in urban rich-scattering environment. Sci. China Ser. F-Inf. Sci. 52, 2450–2458 (2009). https://doi.org/10.1007/s11432-009-0225-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11432-009-0225-3