• 제목/요약/키워드: Sensing Performance

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잡음 전력의 불확실성이 존재하는 환경에서 단일 임계값을 사용하는 에너지 검파 기반 협력 스펙트럼 감지의 성능 분석 (Performance Analysis of an Energy Detection Based Cooperative Spectrum Sensing with a Single Threshold in the Presence of Noise Uncertainty)

  • 임창헌
    • 한국전자파학회논문지
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    • 제23권12호
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    • pp.1406-1411
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    • 2012
  • 에너지 검파 기반 스펙트럼 감지 방식은 잡음 전력에 대한 불확실성에 취약한 것으로 알려져 있다. 이러한 문제점을 해결하기 방안 중의 하나로 협력 스펙트럼 감지 기술을 함께 사용하는 방안이 제안된 바 있다. 그러나 아직까지 페이딩 채널 환경에서 이 방식에 대한 성능 분석이 발표된 바가 없다. 본 논문에서는 에너지 검파 기반 스펙트럼 감지 방식에 대한 이전 연구 결과를 토대로 에너지 검파 기반 협력 스펙트럼 감지 방식에 대한 수학적 분석 결과를 제시하고자 한다. 분석 결과에 따르면 잡음 전력에 대한 불확실성이 존재할 때는 스펙트럼 감지 시간이 늘어나거나 OR 융합 방식의 협력 스펙트럼 감지에 참여하는 2차 사용자가 많아질수록 오경보 확률과 검파 확률이 높아진다는 것을 확인할 수 있었다.

잡음 전력의 불확실성이 존재하는 환경에서 이중 임계값을 사용하는 에너지 검파 기반 협력 스펙트럼 감지의 성능 분석 (Performance Analysis of an Energy Detection Based Cooperative Spectrum Sensing with Double Thresholds in the Presence of Noise Uncertainty)

  • 임창헌
    • 전자공학회논문지
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    • 제50권1호
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    • pp.15-20
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    • 2013
  • 일반적으로 에너지 검파 기반 스펙트럼 감지 방식은 잡음 전력에 대한 불확실성에 취약한 것으로 알려져 있다. 이러한 문제점을 해결하기 방안 중의 하나로 이중 임계값을 사용하는 에너지 검파 기반 협력 스펙트럼 감지 방식이 제안된 바 있다. 그러나 아직까지 페이딩 채널 환경에서 이 방식에 대한 성능 분석이 수행된 바 없다. 본 논문에서는 에너지 검파 기반 스펙트럼감지 방식에 대한 이전 연구 결과를 활용하여 에너지 검파 기반 협력 스펙트럼 감지 방식에 대한 닫힌 형태의 수학적 분석 결과를 제시하고자 한다.

수신 다양성을 쓰는 인지 무선통신에 알맞은 새로운 주파수 검출 기법: 경로 감쇄가 없을 때의 성능 분석 (A Novel Spectrum Sensing Scheme for Cognitive Radio with Receive Diversity: Performance Analysis in Non-Fading Channel)

  • 강현구;송익호;배진수;민황기;김동진
    • 한국정보전자통신기술학회논문지
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    • 제3권4호
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    • pp.49-69
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    • 2010
  • 이 논문에서는 수신 다양성을 쓰는 인지 무선통신에 알맞은 새로운 주파수 검출 기법을 제안한다. 제안한 기법은 일반화된 비슷함비 검정 검파기와 비선형 다양성 결합 기법을 바탕으로 둔 바, 충격성 환경에서도 주파수 검출 성능이 꽤 뛰어나다. 제안한 주파수 검출 기법이 이제껏 널리 쓰이던 주파수 검출 기법들보다 검출 성능이 안정적이며 특히 충격성 환경에서 성능이 뛰어나다는 것을 이론적인 분석과 모의실험으로 보인다.

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열처리 온도 및 산화층 두께에 따른 ReRAM 특성 연구 (The Study on the Characteristics of ReRAM with Annealing Temperature and Oxide Thickness)

  • 최진형;이승철;조원주;박종태
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2013년도 추계학술대회
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    • pp.722-725
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    • 2013
  • 본 연구에서는 열처리를 하지 않은 소자와 열처리 소자의 기본 특성을 비교, 분석하고 온도에 따른 특성 변화를 확인하였다. 사용된 소자는 상부전극이 Pt/Ti(150nm), 하부전극은 Pt(150nm), 산화층은 $HfO_2$(70nm)이고, 열처리 온도는 $500^{\circ}C$, $850^{\circ}C$ 이다. 측정 소자 성능은 Set/Reset 전압, sensing window(저항상태 차이)다. 측정결과 세 종류의 소자의 기본 특성은 열처리별 온도가 높을수록 Set/Reset전압과 sensing window가 증가하였다. 온도에 따른 기본특성 분석 실험 결과 온도가 증가함에 따라 Set/Reset전압과 sensing window가 감소하였다. Set/Reset 전압의 온도에 따른 변화율은 $850^{\circ}C$ 열처리한 소자가 제일 작았고, sensing window의 변화율은 $500^{\circ}C$ 열처리 소자에서 가장 작은 변화율을 보였다. Set/Reset 전압의 변화율 과 sensing window를 고려했을 때 $500^{\circ}C$ 열처리 소자가 좋은 메모리 특성을 보였다.

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On the Performance of Cooperative Spectrum Sensing of Cognitive Radio Networks in AWGN and Rayleigh Fading Environments

  • Saad, Wasan Kadhim;Ismail, Mahamod;Nordin, Rosdiadee;El-Saleh, Ayman A.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권8호
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    • pp.1754-1769
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    • 2013
  • For the purpose of enhancing the spectrum efficiency, cognitive radio (CR) technology has been recently proposed as a promising dynamic spectrum allocation paradigm. In CR, spectrum sensing is the key capability of secondary users in a cognitive radio network that aims for reducing the probability of harmful interference with primary users. However, the individual CRs might not be able to carry out reliable detection of the presence of a primary radio due to the impact of channel fading or shadowing. This paper studies the cooperative spectrum sensing scheme as means of optimizing the sensing performance in AWGN and Rayleigh channels. Results generated from simulation provide evidence of the impact of channel condition on the complementary receiver operating characteristic (ROC). Based on the results, it was found that with constant local SNRs at the secondary users, the probability of missed detection ($P_m$) of cooperative spectrum sensing in a cognitive radio network, calculated using a closed form expression, can be significantly minimized. Thus, the paper illustrates that improvement of the detection performance of the CR network can be achieved by establishing a centralized cooperation among neighboring cognitive radio users. Finally, verification of the validity of the fusion schemes utilized for combining the individual CR decisions is provided.

Spectrum- and Energy- Efficiency Analysis Under Sensing Delay Constraint for Cognitive Unmanned Aerial Vehicle Networks

  • Zhang, Jia;Wu, Jun;Chen, Zehao;Chen, Ze;Gan, Jipeng;He, Jiangtao;Wang, Bangyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권4호
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    • pp.1392-1413
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    • 2022
  • In order to meet the rapid development of the unmanned aerial vehicle (UAV) communication needs, cooperative spectrum sensing (CSS) helps to identify unused spectrum for the primary users (PU). However, multi-UAV mode (MUM) requires the large communication resource in a cognitive UAV network, resulting in a severe decline of spectrum efficiency (SE) and energy efficiency (EE) and increase of energy consumption (EC). On this account, we extend the traditional 2D spectrum space to 3D spectrum space for the UAV network scenario and enable UAVs to proceed with spectrum sensing behaviors in this paper, and propose a novel multi-slot mode (MSM), in which the sensing slot is divided into multiple mini-slots within a UAV. Then, the CSS process is developed into a composite hypothesis testing problem. Furthermore, to improve SE and EE and reduce EC, we use the sequential detection to make a global decision about the PU channel status. Based on this, we also consider a truncation scenario of the sequential detection under the sensing delay constraint, and further derive a closed-form performance expression, in terms of the CSS performance and cooperative efficiency. At last, the simulation results verify that the performance and cooperative efficiency of MSM outperforms that of the traditional MUM in a low EC.

Cooperative Spectrum Sensing Via Sequential Detection: A Method to Reduce the Sensing Time

  • Thanh, Truc Tran;Kong, Hyung-Yun
    • Journal of electromagnetic engineering and science
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    • 제12권3호
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    • pp.196-202
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    • 2012
  • Spectrum sensing is one of the most important functions in cognitive radio systems. In this paper, we focus on reducing the sensing time in a cooperative spectrum sensing paradigm. In the proposed scheme, a sequential detection technique is employed to provide a robust and quick detection system. Each of the secondary users measures the log-likelihood probability of the received signals and then sequentially reports to the base station. Here, the maximum ratio combining (MRC) technique is employed to reduce the average sample number (ASN) in order to reduce the sensing time. This proposed scheme is analyzed and simulated to illustrate the performance in comparison with the other given methods. Analysis and simulation are provided to validate the proposed method.

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.

Excellent Carbon Monoxide Sensing Performance of Au-Decorated SnO2 Nanofibers

  • Kim, Jae-Hun;Zheng, Yifang;Mirzaei, Ali;Kim, Sang Sub
    • 한국재료학회지
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    • 제26권12호
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    • pp.741-750
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    • 2016
  • Nanofibers(NFs), because of their high surface area and nanosized grains, have appropriate morphologies for use in chemiresistive-type sensors for gas detection applications. In this study, a highly sensitive and selective CO gas sensing material based on Au-decorated $SnO_2$ NFs was fabricated by electrospinning. $SnO_2$ NFs were synthesized by electrospinning and subsequently decorated with various amounts of Au nanoparticles(NPs) by sputtering; this was followed by thermal annealing. Different characterizations showed the successful formation of Au-decorated $SnO_2$ NFs. Gas sensing tests were performed on the fabricated sensors, which showed bell-shaped sensing behavior with respect to the amount of Au decoration. The best CO sensing performance, with a response of ~20 for 10 ppm CO, was obtained at an optimized amount of Au (2.6 at.%). The interplay between Au and $SnO_2$ in terms of the electronic and chemical sensitization by Au NPs is responsible for the great improvement in the CO sensing capability of pure $SnO_2$ NFs, suggesting that Au-decorated $SnO_2$ NFs can be a promising material for fabricating highly sensitive and selective chemiresistive-type CO gas sensors.

A STORAGE AND RETRIEVAL SYSTEM FOR LARGE COLLECTIONS OF REMOTE SENSING IMAGES

  • Kwak Nohyun;Chung Chin-Wan;Park Ho-hyun;Lee Seok-Lyong;Kim Sang-Hee
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.763-765
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    • 2005
  • In the area of remote sensing, an immense number of images are continuously generated by various remote sensing systems. These images must then be managed by a database system efficient storage and retrieval. There are many types of image database systems, among which the content-based image retrieval (CBIR) system is the most advanced. CBIR utilizes the metadata of images including the feature data for indexing and searching images. Therefore, the performance of image retrieval is significantly affected by the storage method of the image metadata. There are many features of images such as color, texture, and shape. We mainly consider the shape feature because shape can be identified in any remote sensing while color does not always necessarily appear in some remote sensing. In this paper, we propose a metadata representation and storage method for image search based on shape features. First, we extend MPEG-7 to describe the shape features which are not defined in the MPEG-7 standard. Second, we design a storage schema for storing images and their metadata in a relational database system. Then, we propose an efficient storage method for managing the shape feature data using a Wavelet technique. Finally, we provide the performance results of our proposed storage method.

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