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Heikkila, Oulu

Iikka Heikkila, Oulu FI

Patent application numberDescriptionPublished
20100197403Portable Electronic Device and Computer Software Product - The invention relates to a portable electronic device and computer software product. The portable electronic device comprises a motion detector for generating motion data characterizing the local movement of the portable electronic device, a motion intensity determiner for determining a instantaneous motion intensity value of the user of the portable electronic device from the motion data, and an active time counter for determining an active time accumulation that sums up the time periods, during which the instantaneous motion intensity value meets predefined activity criteria.08-05-2010

Markku Heikkila, Oulu FI

Patent application numberDescriptionPublished
20080260013Equalization with Selection of Samples - A method is shown for equalizing signals transmitted via at least one transmission antenna and received by at least one reception antenna (10-23-2008

Markku J. Heikkila, Oulu FI

Patent application numberDescriptionPublished
20080212722Method and apparatus providing an advanced mimo receiver that includes a signal-plus-residual interference (SPRI) detector - A method is disclosed to obtain M final symbol decisions for signals received through N receive antennas that were transmitted in M parallel data layers, using a same spreading code from M transmit antennas. The method includes space-time equalizing the N received signals to generate M output signals from which at least inter-symbol interference is substantially removed and inter-layer interference is suppressed; despreading each of the M output signals for generating M soft symbol estimates; and processing the M soft symbol estimates to derive M final symbol decisions that are made in consideration of modeled residual inter-layer interference present in the space-time equalized M output signals. Processing includes operating a signal-plus-residual-interference (SPRI) detector that operates in accordance with a maximum likelihood (ML) technique, while space-time equalizing employs a linear minimum mean-square error (LMMSE) criterion. Transmitting may occur at a base station having the M transmit antennas, and receiving may occur at a mobile station having the N receive antennas.09-04-2008
20080231500Receiving method and receiver - There is provided a receiver comprising: an estimator configured to estimate an initial noise-plus-interference covariance matrix on the basis of a received signal; a calculator configured to calculate a parameter using the received signal; and a calculator configured to decrease magnitude of off-diagonal values of the estimated initial covariance matrix relative to diagonal values of the same matrix based on the calculated parameter in order to estimate a final noise-plus-interference covariance matrix.09-25-2008
20080260012Receiver and receiving method - An apparatus, including a detection unit configured to perform a non-linear detection on a receive signal, a first estimator configured to estimate a first quality measure based on the receive signal, and a second estimator configured to estimate a second quality measure dependent on the first quality measure and a performance measure of the detection unit is provided.10-23-2008
20080268887Multipoint data transmission - A semi-single frequency network (SFN) concept is presented. According to the SFN concept, the same data signal is transmitted from multiple base stations to a mobile terminal simultaneously on the same frequency band. Accordingly, the transmitted signals are combined in the radio channel and the mobile terminal experiences the transmitted signals as one signal propagated through a multipath channel. Additionally, each base station transmits a base station specific pilot signal. The mobile terminal carries out a channel estimation procedure for each received pilot signal and combines the channel estimates to obtain information how to equalize the received data signal. Then, the mobile terminal calculates equalization weights from the combined channel estimates and equalizes the received data signal.10-30-2008
20090052513Data Processing Method, Equalizer, Receiver, Communication System, Network Element, and Terminal Using Simplified Channel Matrix Inversion - The invention is related to a communication terminal, comprising: means (02-26-2009
20090141820Apparatus, computer program and method for determining a symbol estimate - An apparatus for determining a symbol estimate includes a detection unit, an information storage, a channel decoder, and an estimator. One or more detectors of the detection unit is configured to detect a first data stream and the one or more detectors or one or more other detectors are configured to detect a second data stream when interference cancellation is carried out and when interference cancellation is not carried out parallel to detection of a first data stream to obtain results of detection. The information storage is configured to store the results of the detection of the second data stream, and the channel decoder is configured to channel decode a detected first data stream. The estimator is configured to determine a symbol estimate by using the stored results of the detection of the second data stream and based on the success of the channel decoding of the first data stream.06-04-2009
20090285276Apparatus, method, and computer program product for demodulation - The invention relates to an apparatus comprising: an estimator configured to estimate a channel response; a determiner configured to determine an equalizer coefficient vector; a calculator configured to calculate a symbol amplitude by using the equalizer coefficient vector and the estimated channel response; a determiner configured to determine a weighting factor by using the symbol amplitude; an estimator configured to estimate soft bits; and a weighter configured to weight the estimated soft bits by using the weighting factor for scaling the estimated soft bits to a predetermined dynamic range in a manner enabling their presentation using a predetermined limited numerical accuracy.11-19-2009

Patent applications by Markku J. Heikkila, Oulu FI