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- Bengtsson, Mats, 1967-, et al.
(författare)
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A generalization of weighted subspace fitting to full-rank models
- 2001
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Ingår i: IEEE Transactions on Signal Processing. - : Institute of Electrical and Electronics Engineers (IEEE). - 1053-587X .- 1941-0476. ; 49:5, s. 1002-1012
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Tidskriftsartikel (refereegranskat)abstract
- The idea of subspace fitting provides a popular framework for different applications of parameter estimation and system identification. Previously, some algorithms have been suggested based on similar ideas, for a sensor array processing problem where the underlying data model is not low rank. We show that two of these algorithms (DSPE and DISPARE) fail to give consistent estimates and introduce a general class of subspace fitting-like algorithms for consistent estimation of parameters from a possibly full-rank data model. The asymptotic performance is analyzed, and an optimally weighted algorithm is derived. The result gives a lower bound on the estimation performance for any estimator based on a low-rank approximation of the linear space spanned by the sample data. We show that in general, for full-rank data models, no subspace-based method can reach the Cramer-Rao lower bound (CRB)
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| 3. |
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| 4. |
- Kristensson, Martin, et al.
(författare)
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Further Results and Insights on Subspace Based Sinusoidal Frequency Estimation
- 2001
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Ingår i: IEEE Transactions on Signal Processing. - : IEEE Signal Processing Society. - 1053-587X .- 1941-0476. ; 49:12, s. 2962-2974
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Tidskriftsartikel (refereegranskat)abstract
- Subspace-based methods for parameter identification have received considerable attention in the literature. Starting with a scalar-valued process, it is well known that subspace-based identification of sinusoidal frequencies is possible if the scalar valued data is windowed to form a low-rank vector-valued process. MUSIC and ESPRIT-like estimators have, for some time, been applied to this vector model. In addition, a statistically attractive Markov-like procedure for this class of methods has been proposed. Herein, the Markov-like procedure is reinvestigated. Several results regarding rank, performance, and structure are given in a compact manner. The large sample equivalence with the approximate maximum likelihood method by Stoica et al. (1988) is also established
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| 5. |
- Kristensson, Martin, et al.
(författare)
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Optimum Subspace Methods
- 2001
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Ingår i: Signal Processing Advances in Communications. - : Prentice Hall. ; , s. 139-177
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Bokkapitel (övrigt vetenskapligt/konstnärligt)
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| 8. |
- Stridh, Rickard, et al.
(författare)
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Spatial Characterization of Measured Indoor Radio Channels at 5 GHz
- 2001
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Ingår i: Nordiskt Radio Symposium.
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Konferensbidrag (refereegranskat)abstract
- Dual arrays is one potential method in order to achieve the high link capacity and flexibility requirements in 4th Generation Wireless Systems. Herein, an analysis of in-door environment Multiple-Input-Multiple-Output mea-surements in the 5.8 GHz band is performed and the pos-sible increase in capacity, utilizing multiple transmitters and receivers is examined. The investigation shows that in the measured indoor environment, the scattering is suffi-ciently rich to provide substantial link capacity increases. Furthermore, the effect of intra-element element spacing on the channel capacity is studied. Finally the possible HiperLAN/2 MIMO channel capacity, based on the mea-surements, is examined.
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| 9. |
- Yu, Kai, et al.
(författare)
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Measurement Analysis of NLOS Indoor MIMO Channels
- 2001
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Ingår i: Proceedings IST Mobile Communications Summit. ; , s. 277-282
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- In this paper, we present results from measurements conducted by the University of Bristol.We study the channel characteristics of Multiple-Input-Multiple-Output (MIMO) indoor channel at 5.2GHz. Our investigation shows that the envelope of the channel for non-line-of-sight (NLOS) indoorsituations is approximately Rayleigh distributed and consequently we focus on a statistical descriptionof the first and second order moments of the narrowband MIMO channel. Furthermore, it is shown thatfor NLOS indoor scenarios, the MIMO channel covariance matrix can be well modeled by a Kroneckerproduct of the covariance matrices describing the correlation at the transmitter and the receiver siderespectively. A statistical narrowband model for the NLOS indoor MIMO channel based on thiscovariance structure is presented along with some simulation results.
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