摘要:
A process for computing Log-Likelihood-ratios (LLRs) in a detector of a wireless communication receiver is disclosed, with the, LLRs being used by a channel decoder. A signal is received from a telecom front end, the signal corresponding to data belonging to a finite set of constellation symbols, each constellation symbol being arranged in a lattice constellation impaired by additive noise and a multiplicative channel. A limited set of distances representative of Euclidian distances between the received signal and a finite set of predetermined constellation symbols are computed, possibly multiplied by the channel. A set of soft decision LLRs are derived from the computed set of distances under the constraint of a limited length of the list of distances. The derived LLRs are completed by clipping values read from a look-up table which is simultaneously addressed by the values of the SNR and a bit index.
摘要:
A process for computing Log-Likelihood-ratios (LLR) in a detector of a wireless communication receiver, said LLR being used by a channel decoder. The process comprises the steps of:—receiving a signal from a telecom front end, said signal corresponding to data belonging to a finite set of constellation symbols, each constellation symbol being arranged in a lattice constellation impaired by an additive noise and also by a multiplicative channel; —computing a limited set of distances representative of the Euclidian distances between the received signal and a finite set of predetermined constellation symbols, possibly multiplied by the channel; —deriving a set of soft decisions or LLR from said computed set of distances under the constraint of a limited length of the list of distances, and —completing said derived LLR by clipping values read from a look-up table which is simultaneously addressed by the values of the SNR and the bit index. The invention is particularly suitable for embodying an OFDM receiver for a MIMO system.
摘要:
The present invention proposes a hearing device with a housing and a receiver module which comprises a shell (16) with a cavity having an opening (17), wherein at least part of the shell (16) forms part of the housing, and wherein an electro-acoustic transducer, comprising a motor assembly (2) and an acoustic assembly (3) including a membrane, is arranged within the cavity, the acoustic assembly (3) being disposed within the shell (16) such that the cavity is divided into a front chamber (12) and a back chamber (13), the motor assembly (2) being disposed within the back chamber (13) or the front chamber (12) and being operatively coupled to the membrane, and the front chamber (12) being in acoustic communication with the exterior of the shell (16) via the opening (17), wherein the shell (16) has an outer surface individually shaped according to a measured inner shape of a section of an ear canal of a user of the hearing device. Furthermore, a method for manufacturing such a receiver module is presented.
摘要:
A detection process for a receiver of a wireless communication system based on Multiple-In-Multiple-Out antennas, the process involving: —a preprocessing which only depends on the channel H, said preprocessing involving: —A QRD decomposition (61) for the purpose of decomposing said channel H into two Q and R matrices, with QHQ=I and R being upper triangular; —a lattice reduction (62) for the purpose of generating (formula AA, formula BB) and a permutation matrix T; —a loading phase (63, 64, 65) comprising a linear LRA-Minimum-Mean-Square-Error equalization applied on said symbols y in accordance with the result of said lattice reduction for the purpose of generating a value (formula CC). The process is characterized by the fact that it further involves the steps of: —Performing a neighborhood search with a search center being equal to the result (formula CC) of said lattice reduction; —Determining the -BKest symbols in accordance with a Partial Euclidean Distance (PED) defined in accordance with the following formula (formula DD)—detecting each layer and with the result of said detection performing an update of the search center so as to perform detection of the next layer; —multiplying the estimated value (formula EE) by said matrix T plus quantizing it onto the original constellation so as to generate the estimated value (formula FF).
摘要:
A detection process for a receiver of a wireless communication system based on Multiple-In-Multiple-Out antennas, the process involving: —a preprocessing which only depends on the channel H, said preprocessing involving: —A QRD decomposition (61) for the purpose of decomposing said channel H into two Q and R matrices, with QHQ=I and R being upper triangular; —a lattice reduction (62) for the purpose of generating (formula AA, formula BB) and a permutation matrix T; —a loading phase (63, 64, 65) comprising a linear LRA-Minimum-Mean-Square-Error equalization applied on said symbols y in accordance with the result of said lattice reduction for the purpose of generating a value (formula CC). The process is characterized by the fact that it further involves the steps of: —Performing a neighborhood search with a search center being equal to the result (formula CC) of said lattice reduction; —Determining the -BKest symbols in accordance with a Partial Euclidean Distance (PED) defined in accordance with the following formula (formula DD)—detecting each layer and with the result of said detection performing an update of the search center so as to perform detection of the next layer; —multiplying the estimated value (formula EE) by said matrix T plus quantizing it onto the original constellation so as to generate the estimated value (formula FF).
摘要:
A process for performing a QR Decomposition of a channel matrix of a wireless communication channel system, said process involving the steps of: performing a full QR Decomposition of one channel matrix for the purpose of deriving a first QR representation of the channel; performing a second iterative QR Decomposition of an adjacent channel matrix, said second iterative QR Decomposition using the results of said first QR representation as well as the difference of the two adjacent channel matrices ΔH. More particularly, the process is characterized in that the iterative QR Decomposition is performed in response to the detection of a high level of workload of the processor.