Change search
Refine search result
1 - 7 of 7
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Klang, Göran
    et al.
    KTH, Superseded Departments, Signals, Sensors and Systems.
    Astély, David
    KTH, Superseded Departments, Signals, Sensors and Systems.
    Ottersten, Björn
    KTH, Superseded Departments, Signals, Sensors and Systems.
    Structured Spatio-Temporal Interference Rejection with Antenna Arrays1999In: IEEE 49th Vehicular Technology Conference, 1999, 1999, p. 841-845Conference paper (Refereed)
    Abstract [en]

    We propose a structured, training sequence based method to find the parameters of a spatio-temporal co-channel interference (CCI) rejection filter. By exploiting the inherent structure of the CCI, it is shown that the number of parameters that are to be estimated can be made independent of the spatio-temporal filter order. It is further shown that by taking advantage of the desired user's known protocol structure, the parameters can be estimated using a semi-blind technique. Simulation results indicate that by taking the structure into account, for short training sequences, considerable gains are achievable compared to an unstructured method.

  • 2.
    Klang, Göran
    et al.
    KTH, Superseded Departments, Signals, Sensors and Systems.
    Ottersten, Björn
    KTH, Superseded Departments, Signals, Sensors and Systems.
    A Structured Approach to Channel Estimation and Interference Rejection in Multichannel Systems1999In: RadioVetenskap och Kommunikation (RVK), 1999Conference paper (Other academic)
  • 3.
    Klang, Göran
    et al.
    KTH, Superseded Departments, Signals, Sensors and Systems.
    Ottersten, Björn
    KTH, Superseded Departments, Signals, Sensors and Systems.
    Channel Estimation and Interference Rejection for Multichannel Systems1998In: Proceedings Asilomar Conference on Signals, Systems & Computers, 1998, p. 769-773Conference paper (Refereed)
    Abstract [en]

    A number of schemes for blind channel estimation have been proposed to mitigate the problem of intersymbol (ISI) and co-channel interference (CCI) in mobile communication environments. In many of the proposed schemes no attention is paid to the fact that in most existing and scheduled future systems, training sequences will be available within the transmission protocol of the desired users. In this paper a semi-blind approach utilizing the rich structure inherent in the base station antenna array output and the knowledge of the desired user's training sequence is proposed in order to improve the transmission link performance. In the described approach cancellation of unknown interfering sources is performed based on blind estimation of their corresponding channels allowing the channels of the desired users to be estimated using a conventional training sequence based channel estimation algorithm

  • 4.
    Klang, Göran
    et al.
    KTH, Superseded Departments (pre-2005), Signals, Sensors and Systems.
    Ottersten, Björn
    KTH, Superseded Departments (pre-2005), Signals, Sensors and Systems.
    Interference Rejection in Systems Employing Transmit Diversity2002In: European Signal Processing Conference, ISSN 2219-5491, article id 7072230Article in journal (Refereed)
    Abstract [en]

    Space diversity methods provide excellent means for increasing the robustness against interference and noise in communication systems. This is well known for systems using multiple receive antennas and it holdsforsystems applying transmit diversity as well. In fact, the use of transmit diversity provide two independent means for reducing the impact of interference. Via the diversity gain and via the code rate, both related to the underlying space-time code. In this paper, we are considering the use of space diversity methods in conjunction with interference rejection combining (IRC) to mitigate the impact of interference and noise for interference limited scenarios. Transmit diversity schemes based on space-time block codes (STBC) are assumed. We elucidate the importance of taking into account the spatio-temporal correlation induced by cochannel users employing transmit diversity. A novel space-time IRC (STIRC) scheme is proposed to handle the problem. The STIRC scheme combines the simplicity of conventional IRC while taking the structure of interfering users into account. Simulation examples demonstrate significant gains compared to the use of conventional IRC.

  • 5.
    Klang, Göran
    et al.
    KTH, Superseded Departments, Signals, Sensors and Systems.
    Ottersten, Björn
    KTH, Superseded Departments, Signals, Sensors and Systems.
    Space-time interference rejection cancellation in transmit diversity systems2002In: International Symposium on Wireless Personal Multimedia Communications, IEEE , 2002, p. 706-710Conference paper (Refereed)
    Abstract [en]

    We consider the use of space diversity methods in conjunction withinterference rejection combining (IRC) to mitigate the impact of interferenceand noise for interference limited scenarios. The use of transmit diversityschemes in a system generally limits the interference rejection capabilities of IRC techniques. We introduce a novel space-time IRC (STIRC) scheme that exploits the spatio-temporal correlation induced by cochannel users employingtransmit diversity in the form of space-time block codes (STBC). Thus, thesystem can draw upon the benefits of interference rejection methods althoughtransmit diversity is being employed. Simulation examples are presented to illustrate the discussion and to highlight the importance of taking both the spatial and temporal structure of the interference into account.

  • 6.
    Klang, Göran
    et al.
    KTH, Superseded Departments, Signals, Sensors and Systems.
    Ottersten, Björn
    KTH, Superseded Departments, Signals, Sensors and Systems.
    Structured Semi-Blind Interference Rejection in Dispersive Multichannel Systems2002In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 50, no 8, p. 2027-2036Article in journal (Refereed)
    Abstract [en]

    The impact of interference is one of the most capacity limiting factors in cellular networks today. In order to host more users in existing systems and maximize the capacity of future networks, the use of interference suppression techniques are instrumental. In this paper, we propose a structured semi-blind parameter estimation procedure to support rejection, of unknown cochannel interference (CCI) in systems facing multipath channels with non-negligible delay spread. Employing spatio-temporal processing, the proposed scheme exploits the temporal correlation present in the output signal from an antenna array and the training data of a desired user in order to find parameter estimates that fit the range space of a structured CCI model to the signal subspace of the interfering signals. Simulation results illustrating the behavior of a spatio-temporal receiver using the proposed scheme with respect to both signal-to-noise and signal-to-interference ratios (SNRs and SIRs) are presented. In addition, results highlighting the impact of the training sequence length as well as the impact of the channel model order of the CCI users are also included.

  • 7.
    Parkvall, Stefan
    et al.
    KTH, Superseded Departments, Signals, Sensors and Systems.
    Klang, Göran
    KTH, Superseded Departments, Signals, Sensors and Systems.
    Ottersten, Björn
    KTH, Superseded Departments, Signals, Sensors and Systems.
    Wahlberg, Bo
    KTH, School of Electrical Engineering (EES), Automatic Control.
    Carlemalm, Catharina
    Signals and Systems, Uppsala University, P.O Box 534. SE-751 21 Uppsala, Sweden.
    Advanced Detectors for Multi-User Wireless Communications1999In: RadioVetenskap och Kommunikation (RVK), 1999, p. 407-410Conference paper (Other academic)
1 - 7 of 7
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf