Patent classifications
H04L25/03171
Transceiving system using a joined linear orthogonal modulation
A transceiving system using a joined modulation alphabet A having a size M the symbols of which are distributed on a plurality N of orthogonal dimensions, the symbols carried by a dimension belonging to a linear sub-alphabet A.sub.n having a size P, with M=NP. The transmitter performs a turbocoding of a block of information bits, the code words provided by the turbocoder being mapped to symbols of the joined modulation alphabet before modulating the signal to be transmitted. The receiver performs turbodecoding from the projection of the symbols received on the orthogonal dimensions of the alphabet.
Auto-detection of repeated signals
Systems and techniques relating to repeated signal detection are described. A described system includes a receiver to receive a frame including first and second portions, the first portion including first and second signal fields; a detector to determine a first decision metric component based on a hypothesis that the second signal field is a repeated version of the first signal field, determine a second decision metric component based on a hypothesis that the second signal field is not the repeated version, and make a determination, based on the first and second decision metric components, of whether the second signal field is the repeated version; and a decoder to process the second portion in accordance with a first format if the second signal field is not the repeated version, and to decode the second portion in accordance with a second format if the second signal field is the repeated version.
FORWARD AND BACKWARD SMOOTH DECODING METHOD, DEVICE, AND SYSTEM
The present application discloses a forward and backward smooth decoding method and device suitable for an OvXDM system, and a system. Importance weights of particles in a particle set corresponding to a symbol are calculated by using a forward process and a backward process, and screening is performed with reference to forward importance weights of particles and backward importance weights of particles, to output a final decoding sequence.
Precoding method, precoding device
Disclosed is a precoding method for generating, from a plurality of baseband signals, a plurality of precoded signals that are transmitted in the same frequency bandwidth at the same time. According to the precoding method, one matrix is selected from among matrices defining a precoding process that is performed on the plurality of baseband signals by hopping between the matrices. A first baseband signal and a second baseband signal relating to a first coded block and a second coded block generated by using a predetermined error correction block coding scheme satisfy a given condition.
Map decoding method using augmented lattices
The invention relates to a MAP decoding method of a signal received through a noisy channel, the signal being composed of symbols in an alphabet having a non-uniform probability distribution, the symbols being represented by points in a lattice (). The probability distribution of symbols is modeled using a Gaussian distribution. An augmented lattice (.sub.exp) is formed from the lattice () and the ratio () between variance of the noise and variance of the Gaussian distribution of symbols. Therefore, the disclosed MAP decoding method consists essentially of decoding using an ML criterion searching the point in the augmented lattice closest to the point representative of the received signal (y.sub.exp).
METHOD FOR SELECTING FREQUENCY CHANNELS
A method selects frequency channels in a communication system using a frequency hopping method, in which data are transmitted between a transmitter and a receiver. The data are transmitted as data packets having a plurality of bits in a frequency/time block. A respective data packet is coded before transmission by the transmitter and is decoded after reception by the receiver. The transmission quality of the frequency channels is evaluated and, a decision is made for a selection of the frequency channel which is used for the transmission of the data. A likelihood ratio for the likelihood of a successful transmission is determined before the decoding by the receiver, the likelihood ratio is used as a metric for determining the interference state of the respective data packet, and the transmission quality of the respective frequency channel is evaluated on the basis of the interference state of the data packet.
Iterative equalization using non-linear models in a soft-input soft-output trellis
A method includes: generating a trellis; generating one or more predicted symbols using a first non-linear model; computing and saving two or more branch metrics using a priori log-likelihood ratio (LLR) information, a channel observation, and the one or more predicted symbols; if alpha forward recursion has not yet completed, generating alpha forward recursion state metrics using a second non-linear model; if beta backward recursion has not yet completed, generating beta backward recursion state metrics using a third non-linear model; if sigma forward recursion has not yet completed, generating sigma forward recursion state metrics using the branch metrics, the alpha state metrics, and the beta backward recursion state metrics; generating extrinsic information comprising a difference of a posteriori LLR information and the a priori LLR information; computing and feeding back the a priori LLR information; and calculating the a posteriori LLR information.
KIND OF PARTIALLY RELIABLE TRANSMISSION METHOD BASED ON HIDDEN MARKOV MODEL
This invention discloses a kind of reliable data transmission method based on hidden Markov model that specific to video transmission quality enhancement over lossy satellite links. It uses HMM model to forecast retransmission rate and adopts the network packet loss rate to reflect the network performance. The underlying network packet loss rate is used as the hidden state of HMM model and the retransmission rate is used as the observation state. By analyzing the historically transmitted data sessions, APRT establishes the relationship between the hidden state transition probability and the emission probability. Then, a robust and efficient retransmission rate prediction is obtained. This invention takes into full consideration of high BER in satellite network channels and adjusts the reliable level according to the satellite network channel characteristics so as to make tradeoff between instantaneity and quality. Consequently, it guarantee the QoS and QoE of video stream.
LIKELIHOOD GENERATION DEVICE, RECEIVING APPARATUS, LIKELIHOOD GENERATION METHOD, AND OPTICAL TRANSMISSION SYSTEM
A likelihood generation device is included in a receiving apparatus that receives a code-modulated signal including nk information bits and k parity bits in N-dimensional arrangement, where N is a natural number greater than or equal to four, and n and k are natural numbers with k<n. The likelihood generation device includes: a temporary likelihood determination unit to determine, by using a table that includes an L-dimensional address space and stores a likelihood in each of the L-dimensional address spaces, likelihoods of an information bit and a parity bit that are transmitted by the code-modulated signal received, where L is a natural number with L<N; and a likelihood correction unit to update, among the likelihoods determined by the likelihood derivation unit, the likelihood of the information bit on a basis of a rule for generation of the parity bit.
Integrated circuit for controlling a communication scheme
Disclosed is a relay method including: receiving, as input, respective reception signals by two receive antennas, the reception signals each including a reception signal resulting from multiplexing respective transmission signals transmitted by two transmission antennas in a first frequency band; performing frequency conversion on the reception signal received by one of the receive antennas so as to obtain a signal of a third frequency band; and performing frequency multiplexing on the signal having the third frequency band and the reception signal received by the other of the receive antennas.