• Title/Summary/Keyword: blind estimation

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An Experimental Study of a Blind Identification Algorithm for Underwater Acoustic Channel Estimation (수중음향 채널추정을 위한 Blind Identification 알고리듬의 실험적 연구)

  • Choi Youngchol;Kim Sea-Moon;Lim Yong-kon
    • Proceedings of the Acoustical Society of Korea Conference
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    • autumn
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    • pp.401-404
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    • 2004
  • 수중음향통신 관점에서 바다와 같은 수중채널은 수십심벌에 이르는 다중경로와 빠르게 변화하는 도플러 효과가 존재한다. 따라서 신뢰성 있는 수중음향통신을 위해서는 채널 등화가 반드시 필요하다. 본 논문에서는 이차 통계량 기반의 Blind Identification 알고리듬을 이용한 수중음향 채널추정 기법을 이용하여 무향수조의 채널응답을 분석하였다. 실험을 통하여 알고리듬의 추정 정확도 및 트랜스듀서 특성을 포함한 무향수조의 채널 응답 특성에 대하여 논한다.

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EVM Based SNR Estimation Performance in Cross QAM Using Selected Constellation Points (Cross QAM의 선택적 성좌점을 사용하는 EVM 기반 SNR 추정 성능)

  • Kwak, Jae-Min
    • Journal of Advanced Navigation Technology
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    • v.16 no.3
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    • pp.426-432
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    • 2012
  • In this paper, we investigate the signal to noise ratio (SNR) estimation performance of Cross quadrature amplitude modulation (QAM), which is being used for asymmetric digital subscriber line (ADSL), very high bit rate digital subscriber line (VDSL), and digital video broadcasting - cable (DVB-C), and has been found to be useful in adaptive modulation and blind equalization. At first, the symbol error rate (SER) performance of Cross QAM is analyzed in Rayleigh fading channel. Then we suggest error vector magnitude (EVM) based SNR estimation utilizing the selected constellation points having different types of decision region from one another, and verify that SNR estimation performance of each points have different performance pattern through simulation. From the simulation results, it has been found that when suggested selected constellation points are used for SNR estimation in Cross QAM, estimation performance is enhanced in additive white Gaussian noise (AWGN) channel or Ricean fading channel.

Development of Obstacle Database Management Module for Obstacle Estimation and Clustering: G-eye Management System (장애물 추정 및 클러스터링을 위한 장애물 데이터베이스 관리 모듈 개발: G-eye 관리 시스템)

  • Min, Seonghee;Oh, Yoosoo
    • Journal of Korea Multimedia Society
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    • v.20 no.2
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    • pp.344-351
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    • 2017
  • In this paper, we propose the obstacle database management module for obstacle estimation and clustering. The proposed G-eye manager system can create customized walking route for blind people using the UI manager and verify the coordinates of the path. Especially, G-eye management system designed a regional information module. The regional information module can improve the loading speed of the obstacle data by classifying the local information by clustering the coordinates of the obstacle. In this paper, we evaluate the reliability of the walking route generated from the obstacle map. We obtain the coordinate value of the path avoiding the virtual obstacle from the proposed system and analyze the error rate of the path avoiding the obstacle according to the size of the obstacle. And we analyze the correlation between obstacle size and route by classifying virtual obstacles into sizes.

Blind Parameter Estimation Schemes for Uniform Linear Array MIMO Radars Using Distributed Multiple Electronic Sensors (분산 다중 전자전 센서를 이용한 등 간격 선형 배치 MIMO 레이다 파라미터의 암맹 추정 기법)

  • Kim, Dong-Hyun;Lee, Jae-Hoon;Song, Jong-In;Chung, Wonzoo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.28 no.8
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    • pp.619-627
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    • 2017
  • MIMO(Multi-Input Multi-Output) radar is an emerging radar technology for its numerous advantages. However, in the electric warfare viewpoint, MIMO radar is a new developed radar technology for that existing parameter estimation cannot applied and a new radar parameter estimation based on the characteristics of MIMO radar is desired. In this paper, we propose a blind estimation scheme for the number of orthogonal waveforms of a uniform linear array(ULA) MIMO radar using minimum two electronic sensors.

Individual Channel Estimation Based on Blind Interference Cancellation for Two-Way MIMO Relay Networks

  • He, Xianwen;Dou, Gaoqi;Gao, Jun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.8
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    • pp.3589-3605
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    • 2018
  • In this paper, we investigate an individual channel estimation problem for multiple-input multiple-output (MIMO) two-way amplify-and-forward (AF) relay networks. To avoid self-interference during the estimation of the individual MIMO channels, a novel blind interference cancellation (BIC) approach is proposed based on an orthogonal preceding framework, where a pair of orthogonal precoding matrices is utilized at the source nodes. By designing an optimal decoding scheme, we propose to decompose the bidirectional transmission into a pair of unidirectional transmissions. Unlike most existing approaches, we make the practical assumption that the nonreciprocal MIMO channel and the mutual interference of multiple antennas are both taken into consideration. Under the precoding framework, we employ an orthogonal superimposed training strategy to obtain the individual MIMO channels. However, the AF strategy causes the noise at the terminal to be the sum of the local noise and the relay-propagated noise. To remove the relay-propagated noise during the estimation of the second-hop channel, a partial noise-nulling method is designed. We also derive a closed-form expression for the total mean square error (MSE) of the MIMO channel from which we compute the optimal power allocation. The simulation results demonstrate that the analytical and simulated curves match fully.

Underwater Acoustic Communication Research using Blind Channel identification (블라인드 채널추정기법(Blind Channel Identification)을 이용한 수중통신 연구)

  • Kim, Kap-Su;Cho, A-Ra;Choi, Young-Chol;Lim, Yong-Kon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2007.10a
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    • pp.165-169
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    • 2007
  • Due to the complexity of underwater acoustic channel, signal estimation in underwater acoustic communication field is considerably affected from time-varying multipath fading channels. On this reason, the original signals should have many long training signals to estimate the channel and the purposed signals, and the bit rate of signals having information may have small rate. In order to avoid this loss of efficiency in underwater communication, this paper employed a blind channel identification method which don't use training signals. Simulations have predicted performance of the employed method in multipath environment and an aquatic plant experiment has verified the simulation results.

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Adaptive Blind MMSE Equalization for SIMO Channel

  • Ahn, Kyung-Seung;Baik, Heung-Ki
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.8A
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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.

Efficient Blind Estimation of Block Interleaver Parameters (효율적인 블록 인터리버 파라미터 블라인드 추정 기법)

  • Jeong, Jin-Woo;Choi, Sung-Hwan;Yoon, Dong-Weon;Park, Cheol-Sun;Yoon, Sang-Bom
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.5C
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    • pp.384-392
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    • 2012
  • Recently, much research on blind estimation of the interleaver parameters has been performed by using Gauss-Jordan elimination to find the linearity of the block channel code. When using Gauss-Jordan elimination, the input data to be calculated needs to run as long as the square multiple of the number of the interleaver period. Thus, it has a limit in estimating the interleaver parameters with insufficient input data. In this paper, we introduce and analyze an estimation algorithm which can estimate interleaver parameters by using only 15 percent of the input data length required in the above algorithm. The shorter length of input data to be calculated makes it possible to estimate the interleaver parameters even when limited data is received. In addition, a 80 percent reduction in the number of the interleaver period candidates increases the efficiency of analysis. It is also feasible to estimate both the type and size of the interleaver and the type of channel coding.

Unbiased blind channel estimation-based blind channel equalization for SIMO channel (SIMO 채널에서 바이어스가 없는 블라인드 채널 추정을 이용한 블라인드 채널 등화)

  • 변을출;안경승;백흥기
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.829-832
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    • 2001
  • 본 논문에서는 2차 통계치를 이용하여 패널추징 및 등화 기법을 제안하였다. 기존의 채널 추정 알고리듬은 잡음이 없는 환경에서 LS방법을 이용하기 때문에 잡음이 강한 패널에서는 원하는 성능을 얻을 수 없는 단점이 있다. 수신신호의 상관행렬의 최소 고유값에 대응하는 고유벡터는 채널의 임펄스 응답에 관한 정보를 포함하고 있다. 이러한 고유 벡터를 매시간마다 갱신시키면서 구하는 적응 알고리듬을 제안하고 이를 이용하여 블라인드 채널 추정 및 등화기 파라미터를 추정하였다. 제안한 알고리듬은 잡음에 강인한 특성을 보일 뿐 아니라 기존의 알고리듬들 보다 우수한 채널 추정 및 등화 성능을 모의 실험을 통하여 검증하였다.

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A Blind Frequency Estimation Scheme in Differential PSK System (Differential PSK 시스템에서의 Blind 주파수 추정 기법)

  • Shin, Won-Jae;You, Young-Hwan
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2013.06a
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    • pp.223-224
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    • 2013
  • 본 논문은 차등 위상 편이 변조(DPSK) 시스템에서 파일럿 없이 주파수 추정하는 기법을 제안한다. 제안하는 주파수 동기오차 추정 방식은 파일럿을 사용하지 않고 DPSK 변조 방식에서 연속되는 신호의 차등 위상신호를 전송하는 특성을 사용하는 블라인드 기법이다. DPSK 신호의 위상 차분은 주파수 오차 추정을 실행 할 때 페이즈를 증가시켜 왜곡으로 작용하게 되는데, 본 논문에서는 간단한 상관기와 제곱기로 이러한 특성을 제거하여 주파수 추정 성능을 증가 시킨다. 알고리즘의 검증은 수식과 컴퓨터 시뮬레이션으로 수행한다.

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