Abstract:
Receiver and method in a receiver, for estimating a normalised frequency offset between a transmitter and the receiver in a wireless communication system, based on Orthogonal Frequency Division Multiplexing, OFDM. The method comprises receiving a first pilot signal (yr1) and a second pilot signal (yr2) from the transmitter; computing a Karhunen-Loeve approximation λK(φ), up to any finite order K of a log-likelihood function λ(φ), based on the received pilot signals (yr1, yr2); and estimating the frequency offset by calculating a maximum value of the computed Karhunen-Loeve approximation λK(φ).
Abstract:
The present invention relates to method for detection of symbols, comprising: receiving at least one communication signal y transmitted over a radio channel H, and receiving a priori LLRs of said channel inputs x; computing soft symbol estimates μ and variance D of said channel inputs x based on LLRs of said channel inputs x; filtering and interference cancelling said received signal y by using a first filter and filtered soft symbol estimates μ so as to obtain a filtered and interference cancelled received signal; estimating MSE matrix B of said filtered and interference cancelled received signal; computing an optimal matrix Gopt for a BCJR algorithm based on said MSE estimate B; further filtering said filtered and interference cancelled received signal by using a second filter so as to obtain an input signal r to the BCJR algorithm; and feeding said input signal r into the BCJR algorithm.
Abstract:
The present invention relates to method for detection of symbols, comprising: receiving at least one communication signal y transmitted over a radio channel H, and receiving a priori LLRs of said channel inputs x; computing soft symbol estimates μ and variance D of said channel inputs x based on LLRs of said channel inputs x; filtering and interference cancelling said received signal y by using a first filter and filtered soft symbol estimates μ so as to obtain a filtered and interference cancelled received signal; estimating MSE matrix B of said filtered and interference cancelled received signal; computing an optimal matrix Gopt for a BCJR algorithm based on said MSE estimate B; further filtering said filtered and interference cancelled received signal by using a second filter so as to obtain an input signal r to the BCJR algorithm; and feeding said input signal r into the BCJR algorithm.
Abstract:
Embodiments of the present invention disclose a human-computer interaction method of a user terminal, an apparatus, and a user terminal. The method includes: collecting entered fingerprint information; if target fingerprint information that matches the fingerprint information exists in stored preset fingerprint information, determining an application bound to the target fingerprint information; and displaying at least one application option included in the application. In the embodiments of the present invention, application option search efficiency can be improved.
Abstract:
A fingerprint information is collected when a touch screen of a terminal device remains black. Fingerprint recognition is performed. In response to success of the fingerprint recognition, lighting up the touch screen and displaying a first interface. An icon of a first application and a first plurality of application options of the first application are displayed together on the first interface. The first plurality of application options of the first application are displayed in an area within a range of the icon.
Abstract:
An operation method with fingerprint recognition, an apparatus, and a mobile terminal relate to the field of communications technologies, where the method includes obtaining a fingerprint event that is entered by a user, presenting at least one shortcut when the fingerprint event that is entered by the user matches a preset fingerprint event, obtaining an operation vector, where the operation vector is generated by operating at least one operation component of the mobile terminal by the user, running a first shortcut in the at least one shortcut according to the operation vector, and presenting a running result. Thereby reducing operation duration, and improving operation efficiency.
Abstract:
An apparatus including a processor configured to receive a digital communication signal, wherein the digital communication signal includes a common reference signal and transmitted data. The processor determines a first interfering channel matrix for a first interfering cell based on a channel estimation of the common reference signal, and estimates a first power offset ratio and a first effective pre-coding matrix for the first interfering cell by evaluating a maximum likelihood metric, wherein the maximum likelihood metric is based on a first interfering channel correlation. The processor then reconstructs a channel covariance matrix based on the estimated first power offset ratio and the first effective pre-coding matrix and detects the transmitted data based on the reconstructed channel covariance matrix.
Abstract:
The present invention relates to a method in a wireless communication system for determining whether an active eavesdropper is interfering in transmissions on a radio channel from a transmitter to a receiver, the method comprising the steps of: estimating, by said transmitter, a first effective channel gain of said radio channel at said receiver; estimating, by said receiver, a second effective channel gain of said radio channel at said receiver; and determining whether an active eavesdropper is interfering in the transmissions by comparing said first and second effective channel gains. Furthermore, the invention also relates to a method in a receiver, a receiver device, a computer program, and a computer program product thereof.
Abstract:
The present disclosure relates to an iterative method for estimating covariance matrices of communication signals comprising a) computing a reference symbol covariance matrix estimate (k,l); b) inputting said reference symbol covariance matrix estimate (k,l) to a detector or a decoder in a first iteration, and thereafter inputting the covariance matrix estimate output from e) to the detector or the decoder in subsequent iterations to obtain an updated demodulated or decoded communication signal for each iteration; c) inputting the demodulated or decoded communication signal to a symbol generator; d) computing an updated data covariance matrix estimate (k,l) for each iteration based on data symbols of said regenerated communication signal; e) combining said reference symbol covariance matrix estimate (k,l) and said updated data covariance matrix estimate (k,l); and f) forwarding said covariance matrix estimate output to the detector or decoder in b) to obtain the updated demodulated or decoded communication signal for each iteration.
Abstract:
A user equipment (UE) and a method are presented. The UE comprises a receiver unit and a processing circuit, and is configured for receiving wireless signals. The processing circuit is arranged for performing pre-detection of the received signals providing an initial estimation of transmitted signals. The processing circuit is also arranged for splitting the transmitted signal into disjoint subgroups, each one covering a subgroup of all layers used for the transmitted signal such that the subgroups together cover all the layers. The processing circuit is also arranged for interference cancellation performed on the subgroups of transmitted signals based on the initial estimation of the transmitted signals. The processing circuit is also arranged for detection of the subgroups of transmitted signals by utilization of an MLD algorithm, wherein the subgroup of layers within each one of the subgroups of transmitted signals is detected simultaneously.