• Title/Summary/Keyword: 심볼 검출기

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Selective-Weighted Energy Detector(S-WED) and Synchronization algorithm for IR-UWB systems (IR-UWB 시스템을 위한 선택적 가중치 결합 에너지 검출기(S-WED)와 동기 알고리즘)

  • Ji, Sinae;Kim, Jaeseok
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.7
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    • pp.3-9
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    • 2013
  • This paper proposes a selective-weighted energy detection (S-WED) and a synchronization algorithm appropriate for it in IR-UWB system. Energy detectors that are practical in terms of implementation are employed widely for noncoherent reception in IR-UWB systems. However, they show low performance due to using the energy samples captured at symbol rate. For this reason, weighted energy detectors are developed to improve the performance of EDs. Hence, for WED, not only synchronization but also the weight coefficients are needed to be obtained prior to data detection. Meanwhile, the optimal weighting coefficients of WEDs are known to be energy values. Therefore, synchronization and the weighting coefficients can be obtained simultaneously. This paper proposes an S-WED and a simple synchronization algorithm for it in which sub-intervals having energies under a certain level are excluded in energy accumulation resulting in a simpler WED with a bit performance increase in low SNR region. The proposed algorithm is verified through simulations using the preamble symbol and channel models defined in the IEEE 802.15.4a.

Performance analysis of maximum likelihood detection for the spatial multiplexing system with multiple antennas (다중 안테나를 갖는 공간 다중화 시스템을 위한 maximum likelihood 검출기의 성능 분석)

  • Shin Myeongcheol;Song Young Seog;Kwon Dong-Seung;Seo Jeongtae;Lee Chungyong
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.42 no.12
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    • pp.103-110
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    • 2005
  • The performance of maximum likelihood(ML) detection for the given channel is analyzed in spatially multiplexed MIMO system. In order to obtain the vector symbol error rate, we define error vectors which represent the geometrical relation between lattice points. The properties of error vectors are analyzed to show that all lattice points in infinite lattice almost surely have four nearest neighbors after random channel transformation. Using this information and minimum distance obtained by the modified sphere decoding algorithm, we formulate the analytical performance of vector symbol error over the given channel. To verify the result, we simulate ML performance over various random channel which are classified into three categories: unitary channel, dense channel, and sparse channel. From the simulation results, it is verified that the derived analytical result gives a good approximation about the performance of ML detector over the all random MIMO channels.

Comparative Study of the Symbol Rate Detection of Unknown Digital Communication Signals (미상 디지털 통신 신호의 심볼율 검출 방식 비교)

  • Joo, Se-Joon;Hong, Een-Kee
    • Journal of Advanced Navigation Technology
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    • v.7 no.2
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    • pp.141-148
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    • 2003
  • This paper presents and compares several techniques that detect the symbol rate of unknown received signal. Symbol rate is detected from the power spectral density of the circuits such as the delay and multiplier circuit, the square law circuit, and analytic signal, etc. As a result of discrete Fourier transform of the output signals of these circuits, a lot of spectral lines and some peaks appear in frequency domain and the position of first peak is corresponding to the symbol rate. If a spectral line on the frequency that is not located in symbol rate is larger than the first peak, the symbol rate is erroneously detected. Thus, the ratio between the value of first peak and the highest side spectral line is used for the measure of the performance of symbol rate detector. For the MPSK modulation, the analytic signal method shows better performance than the delay and multiplier and square law circuits when the received signal power is lager than -20dB. It is also noted that the delay and multiplier circuit is not able to detect the symbol rate for the QAM modulation.

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Efficient Symbol Detection Algorithm for Space-frequency OFDM Transmit Diversity Scheme (공간-주파수 OFDM 전송 다이버시티 기법을 위한 효율적인 심볼 검출 알고리즘)

  • Jung Yun ho;Kim Jae seok
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.4C
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    • pp.283-289
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    • 2005
  • In this paper, we propose two efficient symbol detection algorithms for space-frequency OFDM (SF-OFDM) transmit diversity scheme. When the number of sub-carriers in SF-OFBM scheme is small, the interference between adjacent sub-carriers may be generated. The proposed algorithms eliminate this interference in a parallel or sequential manlier and achieve a considerable performance improvement over the conventional detection algorithm. The bit error rate (BER) performance of the proposed detection algorithms is evaluated by the simulation. In the case of 2 transmit and 2 receive antennas, at $BER=10^{-4}$ the proposed algorithms achieve the gain improvement of about 3 dB. The symbol detectors with the proposed algorithms are designed in a hardware description language and synthesized to gate-level circuits with the $0.18{\mu}m$ 1.8V CMOS standard cell library. With the division-free architecture, the proposed SF-OFDM-PIC and SF-OFDM-SIC symbol detectors can be implemented using 140k and 129k logic gates, respectively.

Signal Space Detection for High Data Rate Channels (고속 데이터 전송 채널을 위한 신호공간 검출)

  • Jeon , Taehyun
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.42 no.10 s.340
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    • pp.25-30
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    • 2005
  • This paper generalizes the concept of the signal space detection to construct a fixed delay tree search (FDTS) detector which estimates a block of n channel symbols at a time. This technique is applicable to high speed implementation. Two approaches are discussed both of which are based on efficient signal space partitioning. In the first approach, symbol detection is performed based on a multi-class partitioning of the signal space. This approach is a generalization of binary symbol detection based on a two-class pattern classification. In the second approach, binary signal detection is combined with a look-ahead technique, resulting in a highly parallel detector architecture.

Design of Low-Power and Low-Complexity MIMO-OFDM Baseband Processor for High Speed WLAN Systems (고속 무선 LAN 시스템을 위한 저전력/저면적 MIMO-OFDM 기저대역 프로세서 설계)

  • Im, Jun-Ha;Cho, Mi-Suk;Jung, Yun-Ho;Kim, Jae-Seok
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.11C
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    • pp.940-948
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    • 2008
  • This paper presents a low-power, low-complexity design and implementation results of a high speed multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) wireless LAN (WLAN) baseband processor. The proposed processor is composed of the physical layer convergence procedure (PLCP) processor and physical medium dependent (PMD) processor, which have been optimized to have low-power and reduced-complexity architecture. It was designed in a hardware description language (HDL) and synthesized to gate-level circuits using 0.18um CMOS standard cell library. As a result, the proposed TX-PLCP processor reduced the power consumption by as much as 81% over the bit-level operation architecture. Also, the proposed MIMO symbol detector reduced the hardware complexity by 18% over the conventional SQRD-based architecture with division circuits and square root operations.

Fixed Decision Delay Detector for Intersymbol Interference Channel (심볼간 간섭 채널을 위한 고정 지연 신호 검출기)

  • Taehyun, Jeon
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.41 no.9
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    • pp.39-45
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    • 2004
  • A design method is proposed for the sequence detection with fixed decision delay with less hardware complexity using the concept of the Voronoi diagram and its dual, the Delaunay tessellation. This detector design is based on the Fixed Delay Tree Search (FDTS) detection. The FDTS is a computationally efficient sequence detection algerian and has been shown to achieve near-optimal performance in the severe Intersymbol Interference (ISI) channels when combined with decision feedback equalization and the appropriate channel coding. In this approach, utilizing the information contained in the Voronoi diagram or equivalently the Delaunay tessellation, the relative location of the detector input sequence in the multi-dimensional Euclidean space is found without any computational redundancy, which leads to a reduced complexity implementation of the detector.

A Study on Hybrid-Rate Multiuser Detector for DS-CDMA Systems (DS-CDMA 시스템을 위한 하이브리드 레이트 다중 사용자 검출기에 관한 연구)

  • 우대호;변윤식
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.26 no.9B
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    • pp.1236-1242
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    • 2001
  • DS-CDMA를 사용하는 통신 시스템에서 발생되는 다중 접속 간섭 문제를 효과적으로 억제하기 위하여, 우리는 심볼 단위 검출기와 칩 단위 검출기를 결합한 하이브리드 다중 사용자 검출기를 제안하였다. 모의 실험 환경은 두 가지 경우이다. 하나는 가우시안 환경과 다중 경로 하에서 모든 사용자의 전력이 동일한 경우이고 다른 하나는 그렇지 않은 경우로 구분하였다. 모의 실험 결과 가우시안 환경하에서 모든 사용자가 동일한 전력을 가지는 경우에, BER 값이 10-1선을 기준으로 하여, 제안된 다중 사용자 검출기가 기존 검출기 보다 약 2[dB]정도 SNR 이득이 있음을 볼 수 있다. 모든 사용자가 다른 전력을 가지는 경우에는 제안된 검출기가 약 1[dB] 정도의 SNR 이득이 있음을 알 수 있었다. 또한 다중 경로하에서 모의 실험 결과는 제안된 하이브리드 레이트 다중 사용자 검출기가 기존 검출기보다 더 나은 BER을 지니고 있음을 알 수 있다. 따라서 제안된 하이브리드 레이트 다중 사용자 검출기가 견실한 성능을 지니고 있음을 알 수 있었다.

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Performance of Two-Dimensional Soft Output Viterbi Algorithm for Holographic Data Storage (홀로그래픽 저장장치를 위한 2차원 SOVA 성능 비교)

  • Kim, Jinyoung;Lee, Jaejin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37A no.10
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    • pp.815-820
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    • 2012
  • We introduce two-dimensional soft output Viterbi algorithm (2D SOVA) and iterative 2D SOVA for holographic data storage. Since the holographic data storage is 2D intersymbol interference (ISI) channel, the 2D detection schemes have good performance at holographic data storage. The 2D SOVA and iterative 2D SOVA are 2D detection schemes. We introduce and compare the two 2D detection schemes. The 2D SOVA is approximately 2 dB better than one-dimensional (1D) detection scheme, and iterative 2D SOVA is approximately 1 dB better than the 2D SOVA. In contrast, the iterative 2D SOVA is approximately twice complex higher than 2D SOVA, and 2D SOVA is approximately twice complex higher than 1D detection scheme.

List Sphere Decoding using error location information of RS code (RS Code의 오류 위치 정보를 이용하는 리스트 구 복호기)

  • Park, Sun-Ho;Lee, Hyuk;Shim, Byong-Hyo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2010.07a
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    • pp.53-56
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    • 2010
  • 본 논문은 Shannon의 정리에 따른 채널 용량에 근접한 성능을 보이는 것으로 알려진 터보 복호기 기반의 반복적인 검출과 복호화(Iterative Detection and Decoding) 기법에서 반복적인 복호화를 수행할 시에 제외되었던 리스트 구 복호기(List Sphere Decoder)에서 사전 정보(prior information)을 이용할 수 있도록 하여 수정된 IDD 기법을 제안하였다. 기존의 기법에서는 사후확률(A posteriori probability)을 계산하기 위하여 리스트 구 복호기를 사용하였으나 반복적인 복호화 수행 시에는 사전 정보를 이용하지 않는 특성으로 인하여 제외된다. 만약 잡음(noise) 등의 이유로 검출된 심볼 벡터 목록이 원래의 것과 매우 다른 경우라도 재 검출을 하지 않기 때문에 반복적인 복호화를 수행하더라도 원래의 정보에 근접하기 어렵게 된다. 본 논문에서는 이러한 기존의 기법에서 리스트 구 복호기를 터보 복호기의 Log Likelihood Ratio (LLR) 값을 사전 정보로 이용할 수 있도록 수정된 리스트 구 복호기를 제안하였다. 수정된 리스트 복호기는 반복적인 복호화를 수행 시 이전의 복호화에서 얻은 정보를 이용하여 새로이 검출된 심볼 벡터 목록을 제공하게 된다. 실제의 통신환경과 유사한 모델의 실험을 통해 수정된 IDD 기법이 기존의 IDD로 구성되는 내부 피드백에 RS 복호기 기반의 외부 피드백으로 구성된 형태로 피드백 회수가 증가할수록 기존의 IDD에 비해 성능이 개선됨을 확인하였다.

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