Electronics and Telecommunications Research Institute

Myung-Sun Baek

Nam-Ho Hur

Sang-Woon Kwak

Hyoung-Soo Lim

Young-Su Kim

Joung-Il Yun

Hae-Chan Kwon

Heung-Mook Kim

Joon-Young Jung

Dong-Joon Choi

Hyoungsoo Lim

Joungil Yun

Jong-Suk Chae

Heung Mook Kim

Won-Seok Lee

Joon Young Jung

Namho Hur

Yun Jeong Song

Young Su Kim

Yun-Jeong Song

Byungjun Bae

Byung-Jun Bae

Jin Hyuk Song

Jin-Hyuk Song

Eun Hee Hyun

Sang-Jung Ra

Yong Seong Cho

Wangrok Oh

Donghoon Kang

Sangwoon Kwak

Hyoung Kyu Song

Kyu-Tae Yang

Bongho Lee

Nam-Shik Kim

Bi-Woong Chung

Disclosed herein are an apparatus and method for detecting a broadcast signal. The apparatus includes a bootstrap detection unit for detecting whether a bootstrap signal is included in a received broadcast signal based on a preset first bootstrap window and a machine-learning method, a bootstrap offset estimation unit for searching the broadcast signal for the start point of the bootstrap signal using a preset second bootstrap window, estimating a bootstrap offset based on the machine-learning method, and estimating bootstrap symbols from the bootstrap offset, and a demodulation unit for demodulating information included in the broadcast signal from the bootstrap symbols based on the machine-learning method.

Apparatus and method for detecting broadcast signal

A method and an apparatus for estimating synchronization of a broadcast signal in a time domain using a synchronization estimation signal through steps of: performing a correlation operation using a correlation window on a plurality of synchronization estimation signals separated to a plurality of paths and outputting a plurality of correlated signals; delaying the plurality of correlated signals to output a plurality of delayed signals; and estimating the synchronization using the plurality of delayed signals are provided.

Apparatus and method for estimating synchronization of broadcast signal in time domain

Disclosed herein are a signal-multiplexing apparatus and method based on machine learning. The signal-multiplexing method based on machine learning, performed by a signal-multiplexing apparatus based on machine learning, including training a transmitted signal using a machine-learning technique, performing complex mapping to transmit the transmitted signal as multiple signals, receiving the multiple signals and regularizing the multiple signals based on a preset rule corresponding to the machine-learning technique, outputting an estimated value for the transmitted signal by training regularized multiple signals using the machine-learning technique, calculating a difference between the transmitted signal and the estimated value for the transmitted signal, and detecting the transmitted signal from an output value when the difference is less than or equal to a preset value.

Signal-multiplexing apparatus and method based on machine learning

Disclosed herein are a method for estimating a self-interference signal based on iterative estimation and an apparatus for the same. The method is configured to transmit two preamble signals from the transmission antenna of one terminal to the reception antenna thereof, to estimate third-order nonlinear distortion, which distorts a self-interference signal, based on a transmission signal and a reception signal for each of the two preamble signals, to update the reception signal by eliminating the third-order nonlinear distortion therefrom, to re-estimate the third-order nonlinear distortion based on the updated reception signal, and to estimate the self-interference signal based on the final third-order nonlinear distortion, which is acquired by repeatedly re-estimating the third-order nonlinear distortion as many times as a preset number of iterations.

Method for estimating self-interference signal based on iterative estimation and apparatus using the same

An apparatus and a method for processing an uplink signal of cable broadcasting network including: modulating uplink data to be transmitted to a broadcasting station which is located at an end of the cable broadcasting network into a plurality of symbols; performing a correlation-coding on the plurality of symbols; and outputting an analog radio frequency (RF) signal corresponding to the plurality of correlation-coded symbols are provided.

Method and apparatus for processing uplink signal in cable broadcasting network

Disclosed herein are an apparatus and method for providing FTN communication using transmit diversity. A transmission apparatus generates a signal to be output through diversity modulation. A diversity order of diversity modulation may be set based on an FTN parameter, such as a variable for adjusting sampling time or a symbol transmission speed. When the diversity order is set based on the FTN parameter, the FTN parameter and the diversity order may be set so as to satisfy a QoS required of the transmission apparatus, such as a transmission rate and a Bit Error Rate. Depending on the circumstances, the set FTN parameter and diversity order may be provided to a reception apparatus that is to receive the output signal.

Method and apparatus for FTN communication using transmit diversity

Disclosed herein are an apparatus and method for receiving a signal based on FTN. The apparatus for receiving a signal based on FTN includes an equalizer for creating a Log Likelihood Ratio (LLR) sequence by equalizing an FTN signal sequence sampled at an FTN signaling rate; a deinterleaver for deinterleaving the created LLR sequence; a decoder for decoding the LLR sequence by correcting errors in the deinterleaved LLR sequence; an interleaver for interleaving the decoded LLR sequence and providing the interleaved LLR sequence to the equalizer; and an FTN interference estimation unit for providing the FTN signal sequence, from which an FTN interference sequence is eliminated, to the equalizer, using the interleaved LLR sequence.

Apparatus for receiving signal based on faster-than-Nyquist and method for using the same

Disclosed herein are a method and apparatus for iterative interference cancellation and channel estimation in a system based on FTN communication including a pilot. Interference of a pilot symbol on a data symbol is estimated, and the estimated interference is eliminated from a sequence of data symbols. When demodulation and channel decoding are performed on the sequence of data symbols, interference between data symbols and interference of a data symbol on a pilot symbol are estimated. Such estimation is repeatedly performed, and as FTN interference is repeatedly estimated and eliminated, channel estimation performance is improved, and through the improved channel estimation performance, the reception performance of the entire system is improved.

Method and apparatus for iterative interference cancellation and channel estimation of system based on FTN communication including pilot

A Faster-Than-Nyquist (FTN)-based transmitting apparatus segments an input data bit string into a plurality of partial bit strings, simultaneously channel-encodes each of the plurality of partial bit strings, simultaneously modulates each of the plurality of channel encoded bit strings to generate a plurality of modulation symbol sequences, and then pulse-shapes and transmits the plurality of modulation symbol sequences at a speed faster than a Nyquist rate.

Apparatus and method for transmitting and receiving based on faster-than-nyquist

Provided is an apparatus for transmitting a signal based on a non-uniform inter-symbol interference (ISI) pattern, the apparatus that may transmit an output signal generated by modulating an input signal based on a parameter sequence to be used to control an interference pattern and a position of a transmission signal for each symbol using a faster than Nyquist (FTN) scheme.

Communication apparatus and method

Growing community of inventors

Daejeon, South Korea

Myung-Sun Baek