• Title/Summary/Keyword: Compressive sensing

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압축센싱기법을 이용한 가시광 무선링크 전송용량 증가기술 연구 (Improvement in the Channel Capacity in Visible Light Emitting Diodes using Compressive Sensing)

  • 정의석;이용태;한상국
    • 한국산학기술학회논문지
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    • 제15권10호
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    • pp.6296-6302
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    • 2014
  • 본 논문에서, 가시광 발광 다이오드를 데이터 전송용 광원으로 사용하는 광무선 전송 시스템의 채널 용량을 증가시키는 새로운 기법을 제안하였다. 압축센싱을 기반으로 하는 적응형 샘플링 기법과 L1최소화 기법을 이용하여 직교 주파수 분할 다중방식기반 직교 위상천이 변조 (OFDM-QPSK: orthogonal frequency division multiplexed-qudarature phase shift keying) 데이터를 압축무선 전송한후, 수신단에서 복원하였다. 제안된 기법을 실험적으로 검증하기 위해서 소규모 링크를 이용하여 전송실험한 결과, OFDM-QPSK 데이터 전송률이 30.72Mb/s에서 51.2Mb/s로 증가함을 확인하였다. 이때의 오류벡터크기(EVM: error vector magnitude)값은 31%이었고, 에러정정 코드를 적용할 경우, 완벽하게 복원 가능함을 확인하였다.

영상 압축센싱을 위한 블록기반 변환영역 측정 부호화 (Block-Based Transform-Domain Measurement Coding for Compressive Sensing of Images)

  • ;;;;박영현;전병우
    • 한국통신학회논문지
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    • 제39A권12호
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    • pp.746-755
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    • 2014
  • 압축센싱은 신호의 성긴 (Sparse) 성질을 활용하여 Nyquist 표본화율 보다 낮은 측정 율만으로도 신호의 완벽 복원이 가능하다는 측면에서 새로운 샘플링 기술로 주목 받고 있다. 블록기반의 압축센싱 기술을 사용하여 영상을 샘플링 하는 경우, 측정신호 영역에서도 공간 영역의 유사도가 보존되므로, 본 논문에서는 블록기반 압축센싱 기술을 사용하여 획득한 자연영상의 측정 신호에 대한 새로운 부호화 기술을 제안한다. 측정신호 간 유사성을 제거하기 위해 이산 웨이블릿 변환(DWT)을 적용한 후, 각 DWT 계수에 적절한 양자화를 수행한다. 이를 통해, 측정 신호 내의 중복성을 제거하고, 측정 신호의 비트 율 또한 절약할 수 있었다. 실험 결과, 기존의 블록기반 평활 Projected Landweber 알고리즘에 스칼라 양자화를 적용한 방법, DPCM 방법을 적용한 방법, 그리고 Multihypothesis 기반 블록기반 평활알고리즘에 DPCM을 적용한 방법과 비교할 때, 제안방법의 PSNR이 각각 최대 4dB, 0.9dB, 그리고 2.5dB 더 높은 성능을 보이는 것을 확인 할 수 있었다.

구조적 희소성 기반 압축 센싱 알고리즘을 통한 측면주사소나 영상의 비균일 잡음 제거 (Non-homogeneous noise removal for side scan sonar images using a structural sparsity based compressive sensing algorithm)

  • 진영생;구본화;이승호;김성일;고한석
    • 한국음향학회지
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    • 제37권1호
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    • pp.73-81
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    • 2018
  • 측면주사소나 영상의 화질은 소나 운용 주파수의 영향을 받는다. 저주파 측면주사소나 장비로 얻는 영상은 저화질 영상이며, 잡음이 화질 저하의 요소 중 하나가 된다. 균일한 잡음을 가정하는 광학 영상과는 달리. 측면주사소나 데이터의 잡음은 해양 환경(장비 소음, 신호 간섭 등)에 의해 발생한다. 또한 소나 신호의 전달 손실을 보상하고자 시간변환이득(Time-Varied Gain, TVG)을 수행하며, 이로 인해 측면주사소나 영상에 비균일 잡음이 생성된다. 본 논문에서는 측면주사소나 영상에 포함된 비균일 잡음을 제거하는 구조적 희소성에 기반한 압축 센싱 알고리즘 (Structural Sparsity based Compressive Sensing, SSCS)을 제안한다. 영상의 구조적 특징 도메인에서 국부적 및 비국부적 모델링을 동시에 구현하여 계수의 희소성을 보장하면서 비국부적 자가 유사성을 강화한다. 그리고 잡음의 비균일성을 고려하여 비국부적 모델링을 보상한다. 다양한 모의 실험을 통해 제안한 알고리즘의 우수성을 입증한다.

Battery-free slotted patch antenna sensor for wireless strain and crack monitoring

  • Yi, Xiaohua;Cho, Chunhee;Wang, Yang;Tentzeris, Manos M.
    • Smart Structures and Systems
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    • 제18권6호
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    • pp.1217-1231
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    • 2016
  • In this research, a slotted patch antenna sensor is designed for wireless strain and crack sensing. An off-the-shelf RFID (radiofrequency identification) chip is adopted in the antenna sensor design for signal modulation. The operation power of the RFID chip is captured from wireless reader interrogation signal, so the sensor operation is completely battery-free (passive) and wireless. For strain and crack sensing of a structure, the antenna sensor is bonded on the structure surface like a regular strain gage. Since the antenna resonance frequency is directly related with antenna dimension, which deforms when strain occurs on the structural surface, the deformation/strain can be correlated with antenna resonance frequency shift measured by an RFID reader. The slotted patch antenna sensor performance is first evaluated through mechanics-electromagnetics coupled simulation. Extensive experiments are then conducted to validate the antenna sensor performance, including tensile and compressive strain sensing, wireless interrogation range, and fatigue crack sensing.

인지 무선 네트워크에서 Sub-Nyquist 샘플링을 활용한 협력 스펙트럼 센싱 기법 (Cooperative Spectrum Sensing Utilizing Sub-Nyquist Sampling in Cognitive Radio Networks)

  • 정홍규;김광열;신요안
    • 한국통신학회논문지
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    • 제40권7호
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    • pp.1234-1238
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    • 2015
  • 본 논문에서는 Sub-Nyquist 샘플링 기반의 협력 스펙트럼 센싱 기법을 제안한다. 최근 압축 센싱 (Compressive Sensing) 기술이 많은 주목을 받으면서 원본 신호의 성긴 정도 (Sparsity)를 추정하는 기법도 활발히 연구되고 있다. 따라서 본 논문에서는 주파수 대역의 Sparsity를 안다고 가정할 때 다양한 샘플링율과 협력 센싱 기법에 따른 Sub-Nyquist 샘플링 기법의 검출 성능을 수학적으로 분석한다. 또한 모의실험 결과를 통해 제안된 기법의 성능을 입증한다.

자기감지형 보수재로 단면증타된 콘크리트 부재의 역학 및 전기적 특성 (Mechanical and Electrical Characteristics of Concrete Members Enlarged with Self-Sensing Cementitious Materials for Repair)

  • 이건철;임건우;임창민;홍성원;김영민
    • 한국구조물진단유지관리공학회 논문집
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    • 제27권5호
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    • pp.139-146
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    • 2023
  • In this study, compressive strength and adhesion strength were measured as repair materials to evaluate the mechanical and electrical properties of compression and shear specimens with self-sensing repair materials. As a result of the experiment, the strength improvement rate of the compression test specimen was higher than the section enlargement area ratio, but the shear test specimen did not show an improvement in strength as much as the section enlargement area ratio. Compression experiments under load showed high correlation between FCR-Strain and FCR-Stress, confirming self-sensing performance. However, the shear test did not show as much correlation as the compression test. Accordingly, it is judged that the self-sensing repair material is suitable for the compression member on which the compression load acts in the building.

압축센싱 기반의 무선통신 시스템

  • 르나탄;신요안
    • 전자공학회지
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    • 제38권1호
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    • pp.56-67
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    • 2011
  • As a result of quickly growing data, a digital transmission system is required to deal with the challenge of acquiring signals at a very high sampling rate, Fortunately, the CS (Compressed Sensing or Compressive Sensing) theory, a new concept based on theoretical results of signal reconstruction, can be employed to exploit the sparsity of the received signals. Then, they can be adequately reconstructed from a set of their random projections, leading to dramatic reduction in the sampling rate and in the use of ADC (Analog-to-Digital Converter) resources. The goal of this article is provide an overview of the basic CS theory and to survey some important compressed sensing applications in wireless communications.

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Modal parameter identification with compressed samples by sparse decomposition using the free vibration function as dictionary

  • Kang, Jie;Duan, Zhongdong
    • Smart Structures and Systems
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    • 제25권2호
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    • pp.123-133
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    • 2020
  • Compressive sensing (CS) is a newly developed data acquisition and processing technique that takes advantage of the sparse structure in signals. Normally signals in their primitive space or format are reconstructed from their compressed measurements for further treatments, such as modal analysis for vibration data. This approach causes problems such as leakage, loss of fidelity, etc., and the computation of reconstruction itself is costly as well. Therefore, it is appealing to directly work on the compressed data without prior reconstruction of the original data. In this paper, a direct approach for modal analysis of damped systems is proposed by decomposing the compressed measurements with an appropriate dictionary. The damped free vibration function is adopted to form atoms in the dictionary for the following sparse decomposition. Compared with the normally used Fourier bases, the damped free vibration function spans a space with both the frequency and damping as the control variables. In order to efficiently search the enormous two-dimension dictionary with frequency and damping as variables, a two-step strategy is implemented combined with the Orthogonal Matching Pursuit (OMP) to determine the optimal atom in the dictionary, which greatly reduces the computation of the sparse decomposition. The performance of the proposed method is demonstrated by a numerical and an experimental example, and advantages of the method are revealed by comparison with another such kind method using POD technique.

Multipath Ghosts in Through-the-Wall Radar Imaging: Challenges and Solutions

  • Abdalla, Abdi T.;Alkhodary, Mohammad T.;Muqaibel, Ali H.
    • ETRI Journal
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    • 제40권3호
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    • pp.376-388
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    • 2018
  • In through-the-wall radar imaging (TWRI), the presence of front and side walls causes multipath propagation, which creates fake targets called multipath ghosts. They populate the scene and reduce the probability of correct target detection, classification, and localization. In modern TWRI, specular multipath exploitation has received considerable attention for reducing the effects of multipath ghosts. However, this exploitation is challenged by the requirements of the reflecting geometry, which is not always available. Currently, the demand for a high radar image resolution dictates the use of a large aperture and wide bandwidth. This results in a large amount of data. To tackle this problem, compressive sensing (CS) is applied to TWRI. With CS, only a fraction of the data are used to produce a high-quality image, provided that the scene is sparse. However, owing to multipath ghosts, the scene sparsity is highly deteriorated; hence, the performance of the CS algorithms is compromised. This paper presents and discusses the adverse effects of multipath ghosts in TWRI. It describes the physical formation of ghosts, their challenges, and existing suppression techniques.

압전감지기 및 압전작동기를 이용한 복합재료 회전축의 진동 및 안전성 제어 (Vibration and Stability Control of Rotating Composite Shafts via Collocated Piezoelectic Sensing and Actuation)

  • 정남희;강호식;윤일성;송오섭
    • 대한기계학회논문집A
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    • 제31권2호
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    • pp.152-159
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    • 2007
  • A study on the control of free vibration and stability characteristics of rotating hollow circular shafts subjected to compressive axial forces is presented in this paper. Both passive structural tailoring technique and active control scheme via collocated piezoelectric sensing and actuation are used in the study Gyroscopic and centrifugal forces combined with the compressive axial force contribute to the occurrence of divergence and flutter instabilities of the rotating shaft. The dual methodology based on the passive and active control schemes shows a high degree of efficiency toward postponement of these instabilities and expansion of the domain of stability of the system. The structural model of the shaft is based on an advanced thin-walled beam structure that includes the non-classical effects of transverse shear, anisotropy of constituent materials and rotatory inertia.