• Title/Summary/Keyword: layered detection

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The Layered Receiver Employing Whitening Process for Multiple Space-Time Codes (다중 시공간 부호를 위한 백색화 과정을 이용한 계층화 수신기)

  • Yim Eun Jeong;Kim Dong Ku
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.42 no.3 s.333
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    • pp.15-18
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    • 2005
  • Multiple space-time codes (M-STTC) is composed of several space-time codes. That provides high transmission rate as well as diversity and coding gain without bandwidth expansion. In this paper, the layered receiver structures employing whitening process for M-STTC is proposed. The proposed receiver is composed of the decoding order decision block and the layered detection block. The whitening process in the latter is utilized to maximize the receive diversity gain in the layered detection. The layered receiver employing whitening process has more diversity gain and advantage of the required number of receive antenna over the layered detection with MMSE nulling. The proposed scheme achieves a 5dB gain compared to the coded layered space-time processing at the FER of $10^{-2}$.

Low complexity hybrid layered tabu-likelihood ascent search for large MIMO detection with perfect and estimated channel state information

  • Sourav Chakraborty;Nirmalendu Bikas Sinha;Monojit Mitra
    • ETRI Journal
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    • v.45 no.3
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    • pp.418-432
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    • 2023
  • In this work, we proposed a low-complexity hybrid layered tabu-likelihood ascent search (LTLAS) algorithm for large multiple-input multiple-output (MIMO) system. The conventional layered tabu search (LTS) approach involves many partial reactive tabu searches (RTSs), and each RTS requires an initialization and searching phase. In the proposed algorithm, we restricted the upper limit of the number of RTS operations. Once RTS operations exceed the limit, RTS will be replaced by low-complexity likelihood ascent search (LAS) operations. The block-based detection approach is considered to maintain a higher signal-to-noise ratio (SNR) detection performance. An efficient precomputation technique is derived, which can suppress redundant computations. The simulation results show that the bit error rate (BER) performance of the proposed detection method is close to the conventional LTS method. The complexity analysis shows that the proposed method has significantly lower computational complexity than conventional methods. Also, the proposed method can reduce almost 50% of real operations to achieve a BER of 10-3.

Development of FBG Micro Cone Penetrometer for Layered Soil Detection (다층지반 탐지를 위한 광섬유 마이크로콘의 개발)

  • Kim, Rae-Hyun;Lee, Woo-Jin;Yoon, Hyung-Koo;Lee, Jong-Sub
    • Proceedings of the Korean Geotechical Society Conference
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    • 2009.03a
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    • pp.341-348
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    • 2009
  • Various types of micro cone penetrometers have been developed by using strain gages for the layered soil detection. Strain gages, however, are affected by several factors such as temperature, self heating and lead wire length. In this study, micro cone penetrometers with 3~7mm in diameter, are developed by using FBG sensor to overcome the defects of the strain gage, and compensate the effect of temperature during penetration. In order to verifiy the accuracy and reliability of the developed FBG cone, the cone penetration test is performed on the layered soil. The tip resistance of FBG snesor shows excellent sensitivity, and can detect the interface of the layered soils with higher resolution. In addition, the 3mm micro cone penetrometer which is impossible cone diameter by using strain gages presents much higher sensitivity than the 7mm cone penetrometer. This study suggests that FBG sensor is a useful sensor for manufaturing the ultra small sized cone, and effectively detects the interface of the layered soil.

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Electrodeposition of Graphene-Zn/Al Layered Double Hydroxide (LDH) Composite for Selective Determination of Hydroquinone

  • Kwon, Yeonji;Hong, Hun-Gi
    • Bulletin of the Korean Chemical Society
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    • v.34 no.6
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    • pp.1755-1762
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    • 2013
  • A graphene-Zn/Al layered double hydroxide composite film was simultaneously prepared by electrochemical deposition on the surface of a glassy carbon electrode (G-LDH/GCE) from the mixture solution containing GO and nitrate salts of $Zn^{2+}$ and $Al^{3+}$. The modified electrode showed good electrochemical performances toward the simultaneous electrochemical detection of hydroquinone (HQ), catechol (CA) and resorcinol (RE) due to the unique properties of graphene (G) and LDH such as large active surface area, facile electronic transport and high electrocatalytic activity. The redox characteristics of G-LDH/GCE were investigated with cyclic voltammetry and differential pulse voltammetry. The well-separated oxidation peak potentials, corresponding to the oxidation of HQ, CA and RE, were observed at 0.126 V, 0.228 V and 0.620 V respectively. The amperometric response of the modified electrode exhibited that HQ can be detected without interference of CA and RE. Under the optimized conditions, the oxidation peak current of HQ is linear with the concentration of HQ from 6.0 ${\mu}M$ to 325.0 ${\mu}M$ with the detection limit of 0.077 ${\mu}M$ (S/N=3). The modified electrode was successfully applied to the direct determination of HQ in a local tap water, showing reliable recovery data.

Detection of thin-layered soil using CRPT in soft soil (CRPT를 이용한 연약지반 협재층 탐지)

  • Yoon, Hyung-Koo;Kim, Joon-Han;Kim, Rae-Hyun;Choi, Yong-Kyu;Lee, Jong-Sub
    • Proceedings of the Korean Geotechical Society Conference
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    • 2008.10a
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    • pp.117-125
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    • 2008
  • The detection of thin-layered soil is important in soft soils to evaluate the soil behavior. The smaller diameter cone penetrometer have been commonly used to detect the layer with increasing sensitivity. The objective of this study is to detect the thin-layered soil using cone resistance and electrical resistance. The cone resistivity penetration test (CRPT) is developed to evaluate the cone tip resistance and electrical resistance at the tip. The CRPT is a micro-cone which has a $0.78cm^2$ in projected area. The application test is conducted in a laboratory large-scale consolidometer (calibration chamber). The kaolinite, sand and water are mixed to make the specimen at the liquid limit of 46% using a slurry mixer. It takes two months for the consolidation of the specimen. After consolidation, the CRPT test is carried out. Furthermore the standard CPT results are compared with the electrical resistance measured at the tip in the field. This study suggests that the CRPT may be a useful tool for detecting thin-layers in soft soils.

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A study on the adaptive detection of EEG waveforms (EEG파형의 실시간 적응적 감지에 관한 연구)

  • 심신호;장태규;양원영
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.877-882
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    • 1993
  • An adaptive EEG waveform detection is presented. The method is based on a layered process model. The model allows the bilateral information exchange across the layers. The criteria for the waveform detection and epoch-wise classification can be adapted according to the higher layer context information embedded in a wider range of adjacent signals. The designed system is experimentally tested to show the adaptive operation of the waveform detection.

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Layered Object Detection using Adaptive Gaussian Mixture Model in the Complex and Dynamic Environment (혼잡한 환경에서 적응적 가우시안 혼합 모델을 이용한 계층적 객체 검출)

  • Lee, Jin-Hyung;Cho, Seong-Won;Kim, Jae-Min;Chung, Sun-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.3
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    • pp.387-391
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    • 2008
  • For the detection of moving objects, background subtraction methods are widely used. In case the background has variation, we need to update the background in real-time for the reliable detection of foreground objects. Gaussian mixture model (GMM) combined with probabilistic learning is one of the most popular methods for the real-time update of the background. However, it does not work well in the complex and dynamic backgrounds with high traffic regions. In this paper, we propose a new method for modelling and updating more reliably the complex and dynamic backgrounds based on the probabilistic learning and the layered processing.

An Iterative Attack Tree Construction Scheme for Intrusion Detection System (효율적인 IDS를 구성하기 위한 공격트리의 반복적 개선 기법)

  • Hur, Woong;Kwon, Ho-Yeol
    • Proceedings of the IEEK Conference
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    • 2002.06c
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    • pp.185-188
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    • 2002
  • This paper proposes a efficient way to use Database that is constructed about attack-pattern. For IDS that activate confrontation, we reconstruct by Layered Attack Tree after constructing attack pattern by Attack Tree. And then this paper has designed IDS that Layered Attack Tree is applied, verified them.

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Joint Processing of Zero-Forcing Detection and MAP Decoding for a MIMO-OFDM System

  • Sohn, In-Soo;Ahn, Jae-Young
    • ETRI Journal
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    • v.26 no.5
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    • pp.384-390
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    • 2004
  • We propose a new bandwidth-efficient technique that achieves high data rates over a wideband wireless channel. This new scheme is targeted for a multiple-input multiple- output orthogonal frequency-division multiplexing (MIMO-OFDM) system that achieves transmit diversity through a space frequency block code and capacity enhancement through the iterative joint processing of zero-forcing detection and maximum a posteriori (MAP) decoding. Furthermore, the proposed scheme is compared to the coded Bell Labs Layered Space-Time OFDM (BLAST-OFDM) scheme.

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Depth-first branch-and-bound-based decoder with low complexity (검출 복잡도를 감소 시키는 Depth-first branch and bound 알고리즘 기반 디코더)

  • Lee, Eun-Ju;Kabir, S.M.Humayun;Yoon, Gi-Wan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.12
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    • pp.2525-2532
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    • 2009
  • In this paper, a fast sphere decoder is proposed for the joint detection of phase-shift keying (PSK) signals in uncoded Vertical Bell Laboratories Layered Space Time (V-BLAST) systems. The proposed decoder, PSD, consists of preprocessing stage and search stage. The search stage of PSD relies on the depth-first branch-and-bound (BB) algorithm with "best-first" orders stored in lookup tables. Simulation results show that the PSD is able to provide the system with the maximum likelihood (ML) performance at low complexity.