• 전기학회논문지
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• 제66권6호
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• pp.949-954
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• 2017

Multiple input, multiple output orthogonal frequency division multiplexing (MIMO OFDM) systems are the candidate for the future wireless communications. However, the main drawback of MIMO OFDM systems is their sensitivity to carrier frequency offset (CFO) similar to the single input, single output OFDM (SISO OFDM) systems. The demodulation of a signal with CFO causes large bit error rate and degrade the performance of a symbol synchronizer. It is important to estimate the frequency offset and minimize or eliminate its impact. In this paper, we propose a technique based on observation training symbols for estimating CFO by employing block-by-block estimation for SISO OFDM systems. The technique of SISO OFDM is extended to the MIMO OFDM systems. Simulation results show that the proposed techniques have a superior performance and better accuracy compared to the conventional techniques in the sense of mean square error.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권10호
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• pp.3458-3478
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• 2022

Automatic modulation recognition is the core algorithm in the field of modulation classification in communication systems. Our investigations show that deep learning (DL) based modulation recognition techniques have achieved effective progress for multiple-input multiple-output (MIMO) systems. However, network complexity is always an additional burden for high-accuracy classifications, which makes it impractical. Therefore, in this paper, we propose a low-complexity dimensional interactive lightweight network (DilNet) for MIMO systems. Specifically, the signals received by different antennas are cooperatively input into the network, and the network calculation amount is reduced through the depth-wise separable convolution. A two-dimensional interactive attention (TDIA) module is designed to extract interactive information of different dimensions, and improve the effectiveness of the cooperation features. In addition, the TDIA module ensures low complexity through compressing the convolution dimension, and the computational burden after inserting TDIA is also acceptable. Finally, the network is trained with a penalized statistical entropy loss function. Simulation results show that compared to existing modulation recognition methods, the proposed DilNet dramatically reduces the model complexity. The dimensional interactive lightweight network trained by penalized statistical entropy also performs better for recognition accuracy in MIMO systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제2권4호
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• pp.194-208
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• 2008

In this paper, a multiple-input-multiple-output (MIMO) hybrid-automatic repeat request (HARQ) algorithm with antenna scheduling is proposed. It retransmits the packet using scheduled transmit antennas according to the state of the communication link, instead of retransmitting the packet via the same antennas. As a result, a combination of conventional HARQ systems, viz. chase combining (CC) and incremental redundancy (IR) are used to achieve better performance and lower redundancy. The proposed MIMO-OFDM HARQ system with antenna scheduling is shown to be superior to conventional MIMO HARQ systems, due to its spatial diversity gain.

• 대한전기학회논문지:전력기술부문A
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• 제48권2호
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• pp.136-144
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• 1999

This paper deals with the fault detection problem in uncertain linear multivariable systems and its application. A robust fault detection method presented by Kim et a. (1998) for MIMO (Multi Input/Multi Output) systems has been adopted and applied to the twin rotor MIMO experimental setup using industrial DSP. The system identification problem is formulated for the twin rotor MIMO system and its parameters are estimated using experimental data. Based on the estimated parameters, some fault detection simulations are performed using the robust fault detection method, which shows that the preformance is satisfied.

• 대한전자공학회논문지TC
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• 제41권10호
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• pp.61-67
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• 2004

차세대 무선 통신 시스템은 현재보다 고속의 데이터 전송과 매우 큰 시스템 용량을 요구하며, 이와 같은 요구를 충족시키기 위해서 복수의 안테나를 사용하여 송수신을 하는 MIMO(Multiple Input Multiple Output) 기술이 널리 연구되고 있다. 이 논문은 하나의 송신기에서 복수의 수신기에게 각각 복수의 데이터 스트림을 동시에 전송하면서 동적 슬롯할당을 이용하여 성능을 향상시키는 동적 슬롯할당 공간분할 다중접속 MIMO 시스템을 제안한다. 제안하는 기술은 빔포밍 차원의 감소로 인한 성능 감소를 최소화하면서 다른 MIMO 기술보다 많은 수의 병렬 데이터를 전송할 수 있게 함으로써 시스템 용량을 크게 증가시키는 것이 가능하다.

• 전자공학회논문지
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• 제50권8호
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• pp.53-60
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• 2013

이 논문에서는 Pre-FFT 빔 형성기를 가진 MIMO(Multi-Input Multi-Out)-OFDM(Orthogonal Frequency Division Multiplexing)시스템 구조에 적합한 적응 빔 형성기법과 결합된 전력제어 기법을 제안한다. 제안된 전력제어 기법과 적응 빔 형성기법이 결합되어 송신전력을 제어하는 과정과 빔형성기 계수를 갱신하는 과정이 시간적으로 함께 iterative하게 이루어져서 수렴하게 되면 원하는 방향으로 빔이 형성되고 각 부반송파별로 원하는 SNIR 값에 수렴하게 되어 다중 사용자 환경에서 성능개선 효과를 얻을 수 있다. Pre-FFT 빔 형성기를 가진 MIMO-OFDM 시스템에 전력 제어기법을 결합할 경우 시스템의 성능 개선 효과를 모의 실험을 통하여 확인한다.

• Journal of information and communication convergence engineering
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• 제6권4호
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• pp.359-363
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• 2008

In this paper, the capacity of MIMO fading channel in the OFDM-based spatial multiplexing systems is analyzed when there is scattering at both transmitter and receiver. The employed MIMO channel model is spanning from the correlated low-rank case to uncorrelated high-rank case at both transmitter and receiver. The effects of spatial fading correlation on the capacity of MIMO channel is examined when the channel is known and unknown at the transmitter. We also evaluate the impacts of a channel estimation error at the transmitter on the MIMO channel capacity.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권11호
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• pp.5305-5321
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• 2016

In wireless communication, the multiple-input multiple-output (MIMO) system is a well-known approach to improve the reliability as well as the data rate. In MIMO systems, channel state information (CSI) is typically required at the receiver to detect transmitted signals; however, in practical systems, the CSI is imperfect and contains errors, which affect the overall system performance. In this paper, we propose a novel maximum likelihood (ML) scheme for MIMO systems that is robust to the CSI errors. We apply an optimization method to estimate an instantaneous covariance matrix of the CSI errors in order to improve the detection performance. Furthermore, we propose the employment of the list sphere decoding (LSD) scheme to reduce the computational complexity, which is capable of efficiently finding a reduced set of the candidate symbol vectors for the computation of the covariance matrix of the CSI errors. An iterative detection scheme is also proposed to further improve the detection performance.

• 한국통신학회논문지
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• 제30권5C호
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• pp.338-343
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• 2005

다중 송수신 안테나(Multiple Input Multiple Output : MIMO) 시스템은 높은 데이터율 뿐만 아니라 효율적인 주파수 자원의 활용을 필요로 하는 차세대 이동 통신 시스템에 가장 적합한 시스템 중 하나로 주목받고 있다. 그에 따라 MIMO 전송 데이터율을 높이기 위해 2개의 송신 안테나를 기본으로 하는 STTC 부호화 그룹을 다수 형성하여 전송하고 수신단에서 다른 그룹의 간섭을 제거하는 BLAST-STTC 기법이 제안되었다. 본 논문에서는 모든 그룹이 최대 다이버시티 이득을 얻는 동시에 간섭 제거 기법의 성능을 향상시킬 수 있는 역순서화된 반복 복호화 기법을 제안한다. 그리고 모의실험을 통해 제안된 기법과 기존 기법의 프레임 오류확률(Frame Error Rate : FER) 성능을 비교한다.

• Journal of Communications and Networks
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• 제17권6호
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• pp.609-621
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• 2015

Recently, a variety of reduced complexity soft-in soft-output detection algorithms have been introduced for iterative detection and decoding (IDD) systems. However, it is still challenging to implement soft-in soft-output detectors for MIMO systems due to heavy burden in computational complexity. In this paper, we propose a soft detection algorithm for MIMO systems which performs close to the full dimensional joint detection, yet offers significant complexity reduction over the existing detectors. The proposed algorithm, referred to as soft-input soft-output successive group (SSG) detector, detects a subset of symbols (called a symbol group) successively using a deliberately designed preprocessing to suppress the inter-group interference. In fact, the proposed preprocessor mitigates the effect of the interfering symbol groups successively using a priori information of the undetected groups and a posteriori information of the detected groups. Simulation results on realistic MIMO systems demonstrate that the proposed SSG detector achieves considerable complexity reduction over the conventional approaches with negligible performance loss.