• Title/Summary/Keyword: symbol-by-symbol detection

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Maximum Likelihood Receivers for DAPSK Signaling

  • Xiao Lei;Dong Xiaodai;Tjhung Tjeng T.
    • Journal of Communications and Networks
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    • v.8 no.2
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    • pp.205-211
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    • 2006
  • This paper considers the maximum likelihood (ML) detection of 16-ary differential amplitude and phase shift keying (DAPSK) in Rayleigh fading channels. Based on the conditional likelihood function, two new receiver structures, namely ML symbol-by-symbol receiver and ML sequence receiver, are proposed. For the symbol-by-symbol detection, the conventional DAPSK detector is shown to be sub-optimum due to the complete separation in the phase and amplitude detection, but it results in very close performance to the ML detector provided that its circular amplitude decision thresholds are optimized. For the sequence detection, a simple Viterbi algorithm with only two states are adopted to provide an SNR gain around 1 dB on the amplitude bit detection compared with the conventional detector.

Performance Characteristics of a Symbol Timing Detection by Superposed Difference Method for OFDM (중첩의 차분화방식에 의한 OFDM 심벌 타이밍검출 성능)

  • Joo, Chang-Bok;Park, Dong-Ho
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.44 no.2
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    • pp.46-54
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    • 2007
  • In this paper, we introduce the performance of improved symbol timing detection by the superposed difference type symbol timing detection method in the OFDM system. Also, we represent the maximum detection probability of symbol synchronization timing at each received delay signal in multipath channel delay profile in the correlation and difference type symbol timing detection methods. The computer simulation results show that the correlation symbol timing detection method have maximum detection probability at the lead of the nth received delay signal of highest amplitude, but the difference type symbol timing detection method always have maximum detection probability at the lead of the first received delay signal in the channel delay spread of $70nsec{\sim}217nsec$. The simulation results indicate the possibility of the perfect detection of OFDM symbol synchronization timing and it fit well with the results of improved S/N to the eb/n0 and the performance of symbol timing detection of the proposed method.

Sliding Multiple Symbol Differential Detection of Trellis-coded MDPSK (트랠리스 부호화된 MDPSK의 흐름 다중심볼 차동검파)

  • 김한종;강창언
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.31A no.4
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    • pp.39-46
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    • 1994
  • In this paper, the idea of using a multiple symbol obervation interval to improve error probability performance is applied to differential detection of MTCM(multiple trellis code modulation) with ${\Pi}$/4 shift QPSK, 8DPSK and 16DPSK. We propose two types of sliding multiple symbol differential detection algorithm, type 1 and type 2. The two types of sliding detection scheme are examined and compared with conventional(symbol-by-symbol) detection and bolck detection with these modulation formats in an additive white Gaussian noise(AWGN) using the Monte Carlo simulation. We show that the amount of improvement over conventional and block detection depends on the number of phases and the number of additional symbol intervals added to the observation. Computer simulagtion results are presented for 2,4,8 states in AWGN channel.

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Multi-symbol detection for biorthogonal signals over rayleigh fading channels (레일리 페이딩 채널에서의 이중직교 신호에 대한 다중심볼 검파)

  • 엄의식;윤순영;이황수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.1
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    • pp.30-39
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    • 1997
  • In this paper, a new practical coherent detection scheme for biorthogonal signals, which uses multi-symbol observation interval, is proposed and its performances are analyzed and simulated. The technique jointly estimates both the demondulated data and the channel from received signal only while reducing computation complexity by an approximate maximum-likelihood sequence estimation rather than symbol-by-symbol detection as in previous noncoherent detection. The scheme achieves performance close to that of ideal coherent detection with perfect channel estimates when select the appropriate observation symbol interval N in the given symbol alphabet wize M. What is particularly interesting is that the requeired average signal-to-noise ratio per bit ${\gamma}_{b}$ can be reducedd by as much as 1.4dB and the capacity can be increase by as much as 38% when we use this system in the CDMA cellular reverse link.

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격자코드 변조 시스템에서 DFE의 심볼판정 알고리즘 제안 (Symbol Detection Methods for DFEs in Trellis Coded Modulation Systems)

  • Chung, Won-Zoo
    • Journal of IKEEE
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    • v.10 no.1 s.18
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    • pp.69-74
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    • 2006
  • In this paper, we present symbol detection methods for decision feedback equalizers (DFE) in trellis coded modulation systems. The proposed symbol detectors improve symbol error rate (SER) by exploiting the coding structure of trellis coded modulation (TCM). For example, for 8-PAM signals the achieved SER with the proposed detection scheme is improved to $2{\times}10^{-5}$ from $2.5{\times}10^{-2}$ of the conventional symbol-by-symbol detector under AWGN channel at 20dB SNR. This SER improvements mitigate error propagation of DFE.and produces significant over-all SER improvement for under multipath channels (for example, from 0.26 to 0.01 and 0.005 under a severe multipath channel 20dB SNR as shown in the simulation result of this paper).

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Turbo Trellis Coded Modulation with Multiple Symbol Detection (다중심벌 검파를 사용한 터보 트렐리스 부호화 변조)

  • Kim Chong Il
    • Journal of the Institute of Convergence Signal Processing
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    • v.1 no.2
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    • pp.105-114
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    • 2000
  • In this paper, we propose a bandwidth-efficient channel coding scheme using the turbo trellis-coded modulation with multiple symbol detection. The turbo code can achieve good bit error rates (BER) at low SNR. That comprises two binary component codes and an interleaver. TCM codes combine modulation and coding by optimizing the euclidean distance between codewords. This can be decoded with the Viterbi or the symbol-by- symbol MAP algorithm. But we present the MAP algorithm with branch metrics of the Euclidean distance of the first phase difference as well as the Lth phase difference. The study shows that the turbo trellis-coded modulation with multiple symbol detection can improve the BER performance at the same SNR.

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Performance Analysis of the Trellis-Coded 8DPSK with Multiple Symbol Differential Detection (다중 심볼 차동 검파를 이용한 트렐리스 부호화된 8DPSK의 성능 분석)

  • 문태현;김한종;홍대식;강창언
    • The Proceeding of the Korean Institute of Electromagnetic Engineering and Science
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    • v.4 no.3
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    • pp.54-62
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    • 1993
  • In this paper, performance comparisions of MTCM systems with 8DPSK over mobile communication channels are obtained by computer simulation. The multiple symbol differential detection scheme is introduced in order to improve the bit error rate performance in the detection of the trellis-coded 8DPSK system. Rician fading channels are used as test channels. The simula- tion results show that the trellis-coded 8DPSK system with multiple symbol detection gives better performance than that of the uncoded DQPSK system. And symbol by symbol interleaving method gives better performance than the symbol pair interleaving method.

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A Simple Symbol Timing Detection Algorithm for OFDM Systems (OFDM 시스템의 효율적인 심볼 타이밍 검출 알고리즘)

  • Kim, Dong-Kyu;Choi, Hyung-Jin
    • Journal of IKEEE
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    • v.3 no.2 s.5
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    • pp.305-313
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    • 1999
  • To demodulate the received OFDM signal, symbol timing detection which finds symbol start in the received sample stream is required in the system initialization. In this paper, we analyze the effect of symbol timing offset and propose a new symbol timing detection algorithm, which is using the guard interval. The proposed algorithm requires low computational process and small memory size, and dose not be affected by frequency offset and phase offset. In addition, We apply this algorithm to European digital TV broadcasting model based on OFDM to evaluate the performance in AWGN and multipath fading channel by the computer simulation.

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Lattice-Reduction-Aided Detection based Extended Noise Variance Matrix using Semidefinite Relaxation in MIMO Systems (MIMO시스템에서 Semidefinite Relaxation을 이용한 잡음 분산 행렬 기반의 Lattice-Reduction-Aided 검출기)

  • Lee, Dong-Jin;Park, Su-Bin;Byun, Youn-Shik
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.11C
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    • pp.932-939
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    • 2008
  • Recently lattice-reduction (LR) has been used in signal detection for multiple-input multiple-output (MIMO) systems. The conventional LR aided detection schemes are combinations of LR and signal detection methods such as zero-forcing (ZF) and minimum mean square error (MMSE) detection. In this paper, we propose the Lattice-Reduction-aided scheme based on extended noise variance matrix to search good candidate symbol set in quantization step. Then this scheme estimates transmitted symbol with Semidefinite Relaxation by candidate symbol set. Simulation results in a random MIMO system show that the proposed scheme exhibits improved performance and a slight increase in complexity.

A Symbol Synchronization Detection by Difference Method for OFDM Systems (차분방법에 의한 OFDM 심볼 동기검출 방식)

  • Joo Chang-Bok;Park Nam-Chun
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.2 s.344
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    • pp.56-65
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    • 2006
  • In this paper, we introduce modified difference type symbol timing detection method of simple structure and show the relations between S/N ratio and timing detection performance which less influenced by multipath channel delay profile and added noise level and it show very exact GI detection performance characteristics. In the computer simulations, 4 symbol time duration of short and long training of IEEE802.11a standard OFDM frame are used for symbol synchronization timing detection. The computer simulation results show the very exact symbol timing detection performance characteristic within 1 sample error of OFDM signal regardless channel delay profile from minimn phase channels of phase rotation ${\pi}/2$ to non-minimum phase channels of phase rotation ${\pi}/2$ of received OFDM signal and added noise level in channel.