• 한국통신학회논문지
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• 제18권5호
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• pp.643-649
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• 1993

본 논문에서는 백색 가우스 잡음 Co-channel 간섭이 존재하는 채널에서의 2진 펄스 진폭변조 통신 시스템에서 주기적으로 삽입되는 프레임 동기 문제를 다루었다. Co-channel 간섭이 존재함으로서 발생되는 Correlation Rule의 성능 저하를 보이고 백색 가우스 잡음과 Co-channel 간섭이 존재하는 채널에서의 최대 프레임 동기 공식을 유도하였다. 최대 추정 동기 공식은 신호 에너지에 있어 Correlation Rule 보다 약 1dB 정도의 성능 향상을 보였다. 특히, 신호대잡음비가 0dB 이상일 경우 최대 추정 동기 공식은 최대 2dB 정도의 성능향상을 보였다.

• 대한전자공학회논문지TC
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• 제41권8호
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• pp.1-7
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• 2004

주파수 비선택적 Rayleigh 페이딩 채널에서 준 최적 빔 형성과 페이딩 상관이 폐루프 송신 안테나 다이버시티(CTD) 시스템에 주는 영향을 분석하였다. 이동국에서 채널을 완벽하게 예측하는 것은 빠르게 변하는 채널의 페이딩으로 매우 어렵기 때문에 각각의 송신 안테나에 불완전한 가중치를 곱하게 된다. 이 불완전한 가중치는 준 최적의 빔을 형성하게 되고, CTD 시스템의 성능을 저하시킨다. 무선 채널의 페이딩 상관 역시 다이버시티 이득을 감소시키는 하나의 요소이다. CTD 시스템의 비트오율을 채널 예측 에러, 채널 상관계수, 궤환지연, 그리고 페이딩 지수의 함수로 해석적으로 유도하였다. 해석 결과 채널 예측에러가 채널상관보다 시스템성능에 더 많은 영향을 주는 것을 알 수 있었다.

• 한국통신학회논문지
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• 제21권8호
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• pp.2023-2032
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• 1996

In this paper, we calculate average bit error probabilities of asynchronous hybrid DS/FH-SSMA systems in AWGN chnnel and nonselective Rayleigh fading channel. We analyze and compare the performance of systems in AWGN channel and Rayleigh fading channel by using linear correlation receiver and hard limiting correlation receiver(nonlinear correlation receiver). Binary PSK scheme is considered and random spreading code sequences and random hopping patterns are used. Bit error probabilities of the systems with/without near-far problem under the same bandwidth expansion are calculated. the result shows that the performance of hard limiting correlation receiver is better than that of linear correlation receiver over nonselective Rayleigh fading channel.

• ETRI Journal
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• 제40권5호
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• pp.570-581
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• 2018

This work analyzes the performance of implementable detectors for the multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) technique under specific and realistic operation system conditions, including antenna correlation and array configuration. A time-domain channel model was used to evaluate the system performance under realistic communication channel and system scenarios, including different channel correlation, modulation order, and antenna array configurations. Several MIMO-OFDM detectors were analyzed for the purpose of achieving high performance combined with high capacity systems and manageable computational complexity. Numerical Monte Carlo simulations demonstrate the channel selectivity effect, while the impact of the number of antennas, adoption of linear against heuristic-based detection schemes, and the spatial correlation effect under linear and planar antenna arrays are analyzed in the MIMO-OFDM context.

• 한국통신학회논문지
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• 제27권8A호
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• pp.753-762
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• 2002

Blind equalization of transmission channel is important in communication areas and signal processing applications because it does not need training sequences, nor dose it require a priori channel information. In this paper, an adaptive blind MMSE channel equalization technique based on second-order statistics in investigated. We present an adaptive blind MMSE channel equalization using multichannel linear prediction error method for estimating cross-correlation vector. They can be implemented as RLS or LMS algorithms to recursively update the cross-correlation vector. Once cross-correlation vector is available, it can be used for MMSE channel equalization. Unlike many known subspace methods, our proposed algorithms do not require channel order estimation. Therefore, our algorithms are robust to channel order mismatch. Performance of our algorithms and comparisons with existing algorithms are shown for real measured digital microwave channel.

• 대한한의진단학회지
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• 제11권2호
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• pp.68-83
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• 2007

Background and Purpose: According to chaos theory, irregular signals of electroencephalogram can interpretated by nonlinear method. Chaotic nonlinear dynamics in EEG can be studied by calculating the correlation dimension. The aim of this study is to analyze EEG by correlation dimension and do Correlation Analysis of correlation dimension and K-POMS factors score. Method: EEG raw data were measured during 15 minutes and choosed 40 seconds. We calculated correlation dimension and used surrogate data method for checking nonlinear data. After then do correlation analysis. Result and Conclusion: Correlation dimension of channel 6, channel 7 and channel 8 are showed significant correlation with vigor factor.

• 한국인터넷방송통신학회논문지
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• 제13권3호
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• pp.17-24
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• 2013

본 논문은 781MHz 대역에서 안테나 상관도를 고려한 MIMO 채널 측정을 통해, 측정 데이터를 분석하고 채널 특성을 도출하였다. 상기 주파수 대역은 DTV 시스템에서 이동통신 주파수로 할당이 예정된 대역이다. 781MHz 주파수 대역은 900MHz 이동통신 시스템의 채널특성이 일정부분 유사하지만, 상당히 다른 부분이 있음을 기존 연구를 통해 증명하였다. 또한, 안테나의 상관도를 고려할 경우 신호전달 과정에 대한 보다 정확한 예측을 위해서는 채널 특성 연구가 필요하다. 기존 DTV 방송과 혼신을 피하기 위하여 측정은 제주도 인근 도심지역에서 채널사운더와 $4{\times}4$ 안테나로 채널특성을 측정하였다. 측정된 데이터를 바탕으로 도심지역에서 안테나 상관도를 고려한 채널특성을 도출하였다.

• ETRI Journal
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• 제30권6호
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• pp.765-773
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• 2008

Spatial correlation is a result of insufficient antenna spacing among multiple antenna elements, while temporal correlation is caused by Doppler spread. This paper compares the effect of spatial and temporal correlation in order to investigate the performance of multiuser scheduling algorithms in multiple-input multiple-output (MIMO) broadcast channels. This comparison includes the effect on the ergodic capacity, on fairness among users, and on the sum-rate capacity of a multiuser scheduling algorithm utilizing statistical channel state information in spatio-temporally correlated MIMO broadcast channels. Numerical results demonstrate that temporal correlation is more meaningful than spatial correlation in view of the multiuser scheduling algorithm in MIMO broadcast channels. Indeed, the multiuser scheduling algorithm can reduce the effect of the Doppler spread if it exploits the information of temporal correlation appropriately. However, the effect of spatial correlation can be minimized if the antenna spacing is sufficient in rich scattering MIMO channels regardless of the multiuser scheduling algorithm used.

• ETRI Journal
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• 제34권6호
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• pp.858-868
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• 2012

In this paper, stochastic models for the cross-correlation of multiple channels are established based on measurement data collected using a wideband multiple-input multiple-output relay Band Exploration and Channel Sounder system at 3.7 GHz. We propose models for the cross-correlation characteristics of large-scale parameters (LSPs) between two links, that is, the base station and mobile station (MS) link and the relay station and MS link. The LSPs include shadow fading, Rician K-factor, delay spread, angle spread of arrival, and angle spread of departure. Furthermore, models are established for the cross-correlation of the small-scale fading in the impulse responses of two links. The statistics of these model parameters are investigated as functions of geometrical features of the multilink. They are extracted from a large amount of cross-correlation observations, which are obtained in three measurement sites along more than one hundred measurement routes. These models can be used together with the standard single-link channel models for the generation of correlated components, for example, path clusters, in two separate channels.

• Journal of Communications and Networks
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• 제5권2호
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• pp.104-115
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• 2003

It is well known that Multiple Input Multiple Output (MIMO) systems offer the promise of achieving very high spectrum efficiencies (many tens of bit/s/Hz) in a mobile environment. The gains in MIMO capacity are sensitive to the presence of spatial and temporal correlation introduced by the radio environment. In this paper, we examine how MIMO capacity is influenced by a number of factors e.g., a) temporal correlation b) various combinations of low/high spatial correlations at either end, c) combined spatial and temporal correlations. In all cases, we compare the channel capacity that would be achievable under independent fading. We investigate the behaviour of "capacity fades," examine how often the capacity experiences the fades, develop a method to determine level crossing rates and average fade durations and relate these to antenna numbers. We also evaluate the influence of channel correlation on the capacity autocorrelation and assess the fit of a Gaussian random process to the temporal capacity sequence. Finally we note that the particular spatial correlation structure of the MIMO channel is influenced by a large number of factors. For simplicity, it is desirable to use a single overall correlation measure which parameterizes the effect of correlation on capacity. We verify this single parameter concept by simulating a large number of different spatially correlated channels.