DocumentCode :
1361695
Title :
Impact of Incomplete and Inaccurate Data Models on High Resolution Parameter Estimation in Multidimensional Channel Sounding
Author :
Landmann, Markus ; Käske, Martin ; Thomä, Reiner S.
Author_Institution :
Fraunhofer Inst. for Integrated Circuits IIS, Ilmenau, Germany
Volume :
60
Issue :
2
fYear :
2012
Firstpage :
557
Lastpage :
573
Abstract :
Multidimensional channel sounding aims to estimate the geometrical structure of multi-path wave propagation in terms of directions of arrival/departure, Doppler shift, time delay, and complex polarimetric path weights. Maximum likelihood parameter estimation based upon an underlying data model is used to achieve high-resolution of the path parameters and, thus, renders possible an antenna independent channel characterization. However, any mismatch of the underlying data model to physical reality imposes limits to accuracy and reliability of the estimation. To cope with the limited resolution capability of the setup we are using a propagation data model that does not only contain discrete deterministic components but also a non-resolvable stochastic part. Joint estimation of both components considerably enhances the estimation quality and finally allows the interpretation as specular and diffuse contribution of multi-path propagation respectively. However, besides of noise influence, the achievable resolution is further limited by the accuracy of the data model that describes the measurement setup. Since the antenna characteristics are very susceptible to calibration and modeling errors, the directional estimates are most error-prone. We refer to the antenna array calibration procedure and discuss common pitfalls in high-resolution multi-path direction estimation that are related to inaccurate and/or incomplete device data model. Depending on the type of the antenna array (linear, circular) this will inherently produce biased and artificially spread angular estimates. Only with precise knowledge of the model errors the stochastic part can be identified as diffuse propagation component vs. modeling error.
Keywords :
Doppler shift; calibration; direction-of-arrival estimation; electromagnetic wave propagation; linear antenna arrays; maximum likelihood estimation; stochastic processes; Doppler shift; antenna array calibration procedure; antenna independent channel characterization; calibration errors; circular antenna array; complex polarimetric path weights; diffuse propagation component; directional estimation; directions of arrival; directions of departure; discrete deterministic component; estimation quality enhancement; geometrical structure estimation; high resolution parameter estimation; inaccurate data model; incomplete data model; joint estimation; linear antenna array; maximum likelihood parameter estimation; model errors; modeling errors; multidimensional channel sounding; multipath direction estimation; multipath propagation; multipath wave propagation; nonresolvable stochastic part; propagation data model; time delay; Antenna arrays; Antenna measurements; Arrays; Calibration; Data models; Estimation; Antenna array calibration; direction of arrival (DoA) estimation; high resolution parameter estimation; multi-path channel characterization; multi-path cluster; multiple-input multiple-output (MIMO) channel sounding; polarimetry;
fLanguage :
English
Journal_Title :
Antennas and Propagation, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/TAP.2011.2173446
Filename :
6060881
Link To Document :
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