Abstract:
PURPOSE: A logical address allocating device of a slave device and a recognizing method thereof are provided to reduce the hardware area of the device by allocating a logical address of the device required for data communication between a master and a device to the lowest lowest number of pins. CONSTITUTION: A clock generating unit(320) generates a clock signal of various speeds and a filter(400) filters the clock signal of various speeds. A sampling unit(330) samples the filtered signal and an address allocating unit(340) allocates an address of a slave device based on the sampled signal. The sampling unit includes a schmitt trigger and the address allocating unit maps the sampled signal with the address of the device. [Reference numerals] (100) Master device; (310) Data transceiving unit; (320) Clock generating unit; (330) Sampling unit; (340) Address allocating unit
Abstract:
PURPOSE: A decoding method using a non-binary belief propagation algorithm including a new stop condition and a device thereof are provided to perform decoding with calculation complexity lower than average iteration. CONSTITUTION: A decoding device includes an equalizer(1001), a deinterleaver(1003), a decoder(1005), and an interleaver(1007). The decoder includes a stop condition algorithm. The equalizer compensates for deformation which occurs during signal amplification and transmission. An interleaver converts a group error into a random error wherein the group error occurs during traffic transmission. The deinterleaver is rearranged by interleavers. A value outputted from the deinterleaver is inputted to a decoder. The decoder performs repetitive decoding.
Abstract:
PURPOSE: A method and device for generating soft decision information based on a non-Gaussian channel in a wireless communication system are provided to increase a cell capacity, thereby increasing the decoding performance of a channel. CONSTITUTION: A receiver receives a data bit(S100). The receiver processes the received data bit in advance(S110). A transmission symbol can be detected from the received data during the process of processing the received data bit in advance. The receiver models the distribution of interference signals and noise components by a non-Gaussian probability density function. The receiver estimates a medium variable of the non-Gaussian probability density function(S120).
Abstract:
PURPOSE: A method and an apparatus for decoding space-time block codes are provided to reduce the detection complexity of a general space-time block code system. CONSTITUTION: A processor(510) selects a layer which is located at the lowest part after rearranging as a new candidate layer. The processor creates N dimension candidate symbol vectors by performing DF(Decision Feedback) process to the rest layers excepting the candidate layer. The processor detects N dimension input vector by performing maximum likelihood detection about the candidate symbol vectors. A transceiver(530) is connected to the processor.
Abstract:
본 발명은 OFDM 시스템에서 반송파 주파수 오프셋 추정 범위 확장을 위한 프리앰블 설계와 상기 프리앰블을 이용한 타이밍/주파수 동기 및 기지국 탐색 방법에 관한 것이다. 본 발명의 프리앰블 심벌은, 시간 영역에서 유효 OFDM 심벌 앞에 삽입되는 순환 프리픽스와, 시간 영역에서 긴 반복 패턴들이 반복 형성되고 상기 긴 반복 패턴들 내에 다수의 짧은 반복 패턴이 각각 반복적으로 형성되어 있는 유효 프리앰블 심벌을 포함한다. 또한, 상기 프리앰블 심벌을 이용한 타이밍/주파수 동기 및 기지국 탐색 방법은, 시간 영역에서 수신 프리앰블 신호 내의 반복 패턴들 사이의 교차상관을 계산하여 타이밍 동기를 획득하는 타이밍 동기 획득 과정과, 타이밍 동기 획득 후 수신 프리앰블 신호 내의 반복 패턴들 사이의 교차상관 값의 위상차를 구함으로써 반송파 주파수 오프셋을 추정하는 반송파 주파수 오프셋 추정 과정과, 타이밍 및 주파수 동기 획득 후 수신 프리앰블 신호를 고속 퓨리에변환 취한 값과 기지국 구분 수열들과의 교차상관을 계산하여 기지국 탐색을 수행하는 기지국 탐색 과정을 포함한다. OFDM, 직교, 주파수 분할 다중화, 프리앰블, 동기, 기지국, 순환 프리픽스
Abstract:
A tree searching method in an MIMO(Multiple Input Multiple Output) system is provided to be easily applicable to conventional various tree searching algorithms and to has decoding performance not lower than a conventional tree searching algorithm. A tree searching method in an MIMO(Multiple Input Multiple Output) system comprises the following several steps. The MIMO system gets a survival path, which means a path where derivation of a branch at the i-1 th level is allowed and gets M sets of modulated symbols forming each survival path which are called sets of survival modulated symbols(S202-S206). The MIMO system discriminates the first group from the second group by comparing sequences of the sets of survival modulated symbols with a preset optimized constant(S208). The MIMO system calculates an accumulated partial Euclidean distance by performing the tree searching operation for the sets of survival modulated symbols included in the first group according to a general M algorithm(S210). The MIMO system calculates a single partial Euclidean distance by performing branch derivation with only one child node per mother node for the sets of survival modulated symbols included in the second group(S212-S216). The MIMO system selects M paths among paths derived from the first group and the second group and determines a survival path for the I th level(S220,S222).