• 제목/요약/키워드: Estimation techniques

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Estimation Techniques for Three-Dimensional Target Location Based on Linear Least Squared Error Algorithm (선형 최소제곱오차 알고리즘을 응용한 3차원 표적 위치 추정 기법)

  • Han, Jeong Jae;Jung, Yoonhwan;Noh, Sanguk;Park, So Ryoung;Kang, Dokeun;Choi, Wonkyu
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.7
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    • pp.715-722
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    • 2016
  • In this paper, by applying the linear least squared error algorithm, we derive an estimation technique for three dimensional target location when a number of radars are used in detecting a target. The proposed technique is then enhanced by combining GPS information and by assigning variable weights to information sources. The enhanced performance of proposed techniques is confirmed via simulation. It is also observed from simulation results that the performance is robust to the uncertainty of information.

Interference Localization for Cellular OFDMA Systems (셀룰러 OFDMA 시스템을 위한 간섭의 집중화)

  • Rim, Min-Joong
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.44 no.3 s.357
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    • pp.51-60
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    • 2007
  • Cellular OFDMA systems may suffer from various amounts of inter-cell interferences according to subcarriers. If it is possible to estimate the interference level of each subcarrier, the performance can be improved by adjusting the magnitude of channel decoder input signals inversely proportional to the interference amounts. While conventional cellular systems prefer to use interference averaging techniques for mitigating inter-cell interferences, this paper shows that localizing inter-cell interferences to the reduced number of subcarriers can significantly improve the system performance assuming thatinterference estimation can be employed. If interference estimation is not used, it is more favorable to use interference averaging techniques to avoid excessive interference levels to certain subcarriers. On the other hand, if interference estimation can be employed, interference localization is more beneficial than interference averaging.

Channel Estimation and Adaptive Channel Coding Technique for Video Transmission (동영상 전송을 위한 채널 예측과 적응적 오류정정 부호화 기법)

  • 송정선;이창우
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.5A
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    • pp.492-501
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    • 2004
  • The performance of mobile communication systems depends on the state of the time-varying multi-path fading channel. To effectively prevent the corruption of video stream and its propagation in spatial and temporal domain, proactive error controls are widely being deployed. Among possible candidates, the rate compatible punctured convolutional (RCPC) code has been widely used for multimedia data, since its rate can be determined flexibly. In this paper, the adaptive channel estimation and the adaptive error correction techniques over the time-varying mobile channel have been proposed. Extensive computer simulations show that the proposed techniques yield the superior performance than the fixed rate system.

Modal Testing of Mechanical Structures Subject to Operational Excitation Forces

  • Gade, Svend;Moller, Nis B.;Herlufsen, Henrik;Brincker, Rune;Andersen, Palle
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.11b
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    • pp.1162-1165
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    • 2001
  • Operational Modal Analysis also known as Output Only Modal Analysis has in the recent years been used for extracting modal parameters of civil engineering structures and is now becoming popular for mechanical structures. The advantage of the method is that no artificial excitation need to be applied to the structure or force signals to be measured. All the parameter estimation is based upon the response signals, thereby minimising the work of preparation for the test. This test case is a controlled lab set-up enabling different parameter estimation methods techniques to be used and compared to the Operational Modal Analysis. For Operational Modal Analysis two different estimation techniques are used: a non-parametric technique based on Frequency Domain Decomposition (FDD), and a parametric technique working on the raw data in time domain, a data driven Stochastic Subspace Identification (SS!) algorithm. These are compared to other methods such as traditional Modal Analysis.

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Optimization for the direction of arrival estimation based on single acoustic pressure gradient vector sensor

  • Wang, Xu-Hu;Chen, Jian-Feng;Han, Jing;Jiao, Ya-Meng
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.6 no.1
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    • pp.74-86
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    • 2014
  • The optimization techniques are explored in the direction of arrival (DOA) estimation based on single acoustic pressure gradient vector sensor (APGVS). By analyzing the working principle and measurement errors of the APGVS, acoustic intensity approaches (AI) and the minimum variance distortionless response beamforming approach based on single APGVS (VMVDR) are deduced. The radius to wavelength ratio of the APGVS must be not bigger than 0.1 in the actual application, otherwise its DOA estimation performance will degrade significantly. To improve the robustness and estimation performance of the DOA estimation approaches based on single APGVS, two modified processing approaches based on single APGVS are presented. Simulation and lake trial results indicate that the performance of the modified approaches based on single APGVS are better than AI and VMVDR approaches based on single APGVS when the radius to wavelength ratio is not bigger than 0.1, and the two modified DOA estimation methods have excellent estimation performance when the radius to wavelength ratio is bigger than 0.1.

Image Registration Improvement Based-on FFT Techniques with the Affine Transform Estimation

  • Wisetphanichkij, Sompong;Pasomkusolsil, Sanchaiya;Dejhan, Kobchai;Cheevasuvit, Fusak;Mitatha, Somsak;Sra-Ium, Napat;Vorrawat, Vinai;Pienvijarnpong, Chanchai
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.260-262
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    • 2003
  • New Image registration techniques are developed for determining geometric distortions between two images of the same scene. First, the properties of the Fourier transform of a two dimensional function under the affine transformation are given. As a result, techniques for the estimation of the coefficients of the distortion model using the spectral frequency information are developed. Image registration can be achieved by applying the fast Fourier transform (FFT) technique for cross correlation of misregistered imagery to determine spatial distances. The correlation results may be rather broad, making detection of the peak difficult, what can be suppressed by enhancing cross-correlation technique. Yield greatly improves the delectability and high precision of image misregistration.

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Studies on Synchronization Techniques for Power Saving of DVB-H Terminal (DVB-H 수신기의 전력소모감소를 위한 동기화 기법에 관한 연구)

  • Nam Seungwoo;Sohn Won
    • Journal of Broadcast Engineering
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    • v.10 no.2
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    • pp.174-181
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    • 2005
  • In this paper, we proposed new fast scattered pilot synchronization techniques to reduce the burst synchronization time for the DVB-H receiving system with robustness. DVB-H terminals employ a TDM system called 'Time-Slicing' to reduce power consumption. In order to fully exploit the potential power reduction, the synchronization time for the DVB-H receiver must be very short. A typical DVB-T system uses the TPS Synchronization to determine the position of scattered pilots which are used for channel estimation, and it takes 68 OFDM symbol time. In this paper, several new fast scattered pilot synchronization techniques are proposed.

A New Techniques for Estimation of Carrier Frequency Offset in MIMO OFDM Systems (다중 입출력 직교 주파수 분할 다중화 시스템에서의 반송파 주파수 오프셋 추정을 위한 새로운 기법)

  • Altaha, Mustafa;Hwang, Humor
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.6
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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.

Compressed Sensing Techniques for Millimeter Wave Channel Estimation (밀리미터파 채널 추정을 위한 압축 센싱 기법)

  • Han, Yonghee;Lee, Jungwoo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.1
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    • pp.25-30
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    • 2017
  • Millimeter wave (mmWave) bands are expected to improve date rate of 5G systems due to the wide available bandwidth. While severe path loss in those bands has impeded the utilization, short wavelength enables a large number of antennas packed in a compact form, which can mitigate the path loss. However, estimating the channel with a conventional scheme requires a huge training overhead, hence an efficient estimation scheme operating with a small overhead needs to be developed. The sparsity of mmWave channels caused by the limited scatterers can be exploited to reduce the overhead by utilizing compressed sensing. In this paper, we introduce compressed sensing techniques for mmWave channel estimation. First, we formulate wideband channel estimation into a sparse recovery problem. We also analyze the characteristics of random measurement matrix constructed using quantized phase shifters in terms of mutual incoherence.

Effect of Different Variable Selection and Estimation Methods on Performance of Fault Diagnosis (이상진단 성능에 미치는 변수선택과 추정방법의 영향)

  • Cho, Hyun-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.9
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    • pp.551-557
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    • 2019
  • Diagnosis of abnormal faults is essential for producing high quality products. The role of real-time diagnosis is quite increasing in the batch processes of producing high value-added products such as semiconductors, pharmaceuticals, and so forth. In this study, we evaluate the effect of variable selection and future-value estimation techniques on the performance of the diagnosis system, which is based on nonlinear classification and measurement data. The diagnostic performance can be improved by selecting only the variables that are important and have high contribution for diagnosis. Thus, the diagnostic performance of several variable selection techniques is compared and evaluated. In addition, missing data of a new batch, called future observations, should be estimated because the full data of a new batch is not available before the end of the cycle. In this work the use of different estimation techniques is analyzed. A case study on the polyvinyl chloride batch process was carried out so that optimal variable selection and estimation methods were obtained: maximum 21.9% and 13.3% improvement by variable selection and maximum 25.8% and 15.2% improvement by estimation methods.