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Sökning: swepub > Ottersten Björn 1961 > Kungliga Tekniska Högskolan > Kristensson Martin

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11.
  • Kristensson, Martin, et al. (författare)
  • Modified IQML and a Statistically Efficient Method for Direction Estimation without Eigendecomposition
  • 1998
  • Ingår i: Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing. - : IEEE. ; , s. 2069-2072
  • Konferensbidrag (refereegranskat)abstract
    • This paper deals with direction estimation of signals impinging on a uniform linear sensor array. A well known algorithm for this problem is iterative quadratic maximum likelihood (IQML). Unfortunately, the IQML estimates are in general biased, especially in noisy scenarios. We propose a modification of IQML (MIQML) that gives consistent estimates at approximately the same computational cost. In addition, an algorithm with an estimation error covariance which is asymptotically identical to the asymptotic Cramer-Rao lower bound is presented. The optimal algorithm resembles weighted subspace fitting or MODE, but achieves optimal performance without having to compute an eigendecomposition of the sample covariance matrix.
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12.
  • Kristensson, Martin, et al. (författare)
  • Modified IQML and Weighted Subspace Fitting without Eigendecomposition
  • 1999
  • Ingår i: Signal Processing. - : Elsevier North-Holland, Inc. Amsterdam, The Netherlands. - 0165-1684. ; 79:1, s. 29-44
  • Tidskriftsartikel (refereegranskat)abstract
    • This paper deals with direction estimation of signals impinging on a uniform linear sensor array. A well-known algorithm for this problem is IQML. However, estimates computed with IQML are in general biased, especially in noisy scenarios. We propose a modification of IQML (MIQML) that gives consistent estimates at approximately the same computational cost. In addition, an algorithm (WSF-E) with an estimation error covariance which is asymptotically identical to the asymptotic Cramér–Rao lower bound is presented. The WSF-E algorithm resembles weighted subspace fitting (WSF) or MODE, but achieves optimal performance without having to compute an eigendecomposition of the sample covariance matrix.
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13.
  • Kristensson, Martin, et al. (författare)
  • On Subspace Based Sinusoidal Frequency Estimation
  • 1999
  • Ingår i: International Conference on Acoustics, Speech, and Signal Processing. ; , s. 1565-1568
  • Konferensbidrag (refereegranskat)abstract
    • Subspace based methods for frequency estimation rely on a low-rank system model that is obtained by collecting the observed scalar valued data samples into vectors. Estimators such as MUSIC and ESPRIT have for some time been applied to this vector model. Also, a statistically attractive Markov-like procedure for this class of methods has been proposed in the literature. Herein, the Markov estimator is re-investigated. Several results regarding rank, performance, and structure are given in a compact manner. The results are used to establish the large sample equivalence of the Markov estimator and the approximate maximum likelihood (AML) algorithm proposed by Stoica et al. (see Automatica, vol.30, no.1, p.131-45, 1994).
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14.
  • Kristensson, Martin, et al. (författare)
  • Optimum Subspace Methods
  • 2001
  • Ingår i: Signal Processing Advances in Communications. - : Prentice Hall. ; , s. 139-177
  • Bokkapitel (övrigt vetenskapligt/konstnärligt)
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15.
  • Kristensson, Martin, et al. (författare)
  • Receiver
  • 2003
  • Patent (populärvet., debatt m.m.)abstract
    • The present invention relates to a method for a digital receiver and a receiver exploiting second order statistics for adaptive co-channel interference rejection in wireless communication. It uses digitally I, in phase, and Q, quadrature, branches of a received transmitted signal as input to the receiver, a coarse synchronization and a coarse frequency offset compensation have being performed on the signal. It comprises a means for derotation, means for separation, means for filtering, means for estimating and means for detecting transmitted symbols in the received signal. The invention thereby improving co-channel rejection in wireless communication, thus making it possible to increase the number of communication channels for frequencies used.
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16.
  • Kristensson, Martin, et al. (författare)
  • Statistical Analysis of a Subspace Method for Blind Channel Identification
  • 1996
  • Ingår i: Proceedings IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP-96.. - : IEEE. ; , s. 2435-2438
  • Konferensbidrag (refereegranskat)abstract
    • This paper considers the problem of blind channel estimation of multi-channel FIR filters. This is a problem arising in, for example, mobile communication systems using digital signalling. By using the orthogonality property between the noise subspace and the channel matrix, it has been shown in earlier work that the channel matrix is identifiable up to a multiplicative constant. In this article, the asymptotic properties of a subspace method using this orthogonality property is presented. An asymptotically correct weighting matrix is derived, demonstrating an attainable lower theoretical bound using the subspace estimate.
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19.
  • Östman, Thomas, et al. (författare)
  • Asynchronous DS-CDMA Detectors Robust to Timing Errors
  • 1997
  • Ingår i: Proceedings of IEEE 47th Vehicular Technology Conference.  VTC97. - : IEEE. ; , s. 1704-1708
  • Konferensbidrag (refereegranskat)abstract
    • An asynchronous DS-CDMA system with timing errors is considered. Two different approaches for dealing with the problem are presented. The first method is based on robustifying the MMSE estimator against timing errors. The second approach models the timing errors as an extra noise term and formulates the best linear unbiased estimator of the data symbols. Simulations of the bit error rate indicate that the two approaches have similar performance. However, the difference to non-robustified algorithms is large.
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  • Resultat 11-19 av 19
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konferensbidrag (11)
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bokkapitel (2)
patent (2)
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refereegranskat (14)
övrigt vetenskapligt/konstnärligt (3)
populärvet., debatt m.m. (2)
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