Correlation Detector

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Xiaodai Dong - One of the best experts on this subject based on the ideXlab platform.

  • Integration Interval Determination Algorithms for BER Minimization in UWB Transmitted Reference Pulse Cluster Systems
    IEEE Transactions on Wireless Communications, 2010
    Co-Authors: Xiaodai Dong, Zhonghua Liang
    Abstract:

    A recently proposed transmitted reference pulse cluster (TRPC) structure contains compactly spaced reference and data pulses, and enables a low complexity, robust and practical auto-Correlation Detector to be used at the receiver. Previous research indicated that the integration interval of the auto-Correlation Detector is critical to the performance of TRPC. Therefore, in this paper, three practical data-aided algorithms are introduced to determine the integration interval of the TRPC structure: the conventional threshold-crossing concept, the new bit error rate (BER) minimization based approach, and the new hybrid scheme that combines threshold-crossing and the BER minimization concepts. The performances of the three schemes are extensively evaluated by simulation. Results show that, the BER minimization based approach and the hybrid scheme demonstrate around 2 dB performance gain over the threshold-crossing scheme in IEEE 802.15.4a channels. Moreover, the hybrid scheme yields close performance to the BER minimization based scheme with much reduced complexity.

  • VTC Fall - Integration Interval Determination in Transmitted Reference Pulse Cluster Systems for UWB Communications
    2008 IEEE 68th Vehicular Technology Conference, 2008
    Co-Authors: Xiaodai Dong
    Abstract:

    A recently proposed transmitted reference pulse cluster (TRPC) structure contains compactly spaced reference and data pulses, and enables a low complexity, robust and practical auto-Correlation Detector to be used at the receiver. TRPC has been shown to outperform the conventional transmitted reference and non-coherent pulse position modulation systems in ultra-wideband channels. Previous research indicated that the integration interval of the auto-Correlation Detector is critical to the performance of TRPC. In this paper, practical data-aided algorithms are introduced to determine the integration interval of the TRPC structure based on minimizing the system bit error rate. The proposed scheme is compared to the traditional threshold crossing method and demonstrates around 2 dB performance gain in IEEE 802.15.4a channels. A simplified version of the scheme valid for low signal to noise ratios is also presented. The proposed integration interval determination method does not require Nyquist rate sampling or analog averaging with symbol long delay lines, and is therefore suitable to practical implementation.

Zhonghua Liang - One of the best experts on this subject based on the ideXlab platform.

  • Integration Interval Determination Algorithms for BER Minimization in UWB Transmitted Reference Pulse Cluster Systems
    IEEE Transactions on Wireless Communications, 2010
    Co-Authors: Xiaodai Dong, Zhonghua Liang
    Abstract:

    A recently proposed transmitted reference pulse cluster (TRPC) structure contains compactly spaced reference and data pulses, and enables a low complexity, robust and practical auto-Correlation Detector to be used at the receiver. Previous research indicated that the integration interval of the auto-Correlation Detector is critical to the performance of TRPC. Therefore, in this paper, three practical data-aided algorithms are introduced to determine the integration interval of the TRPC structure: the conventional threshold-crossing concept, the new bit error rate (BER) minimization based approach, and the new hybrid scheme that combines threshold-crossing and the BER minimization concepts. The performances of the three schemes are extensively evaluated by simulation. Results show that, the BER minimization based approach and the hybrid scheme demonstrate around 2 dB performance gain over the threshold-crossing scheme in IEEE 802.15.4a channels. Moreover, the hybrid scheme yields close performance to the BER minimization based scheme with much reduced complexity.

Ivan Mecimore - One of the best experts on this subject based on the ideXlab platform.

Tae Jeong Kim - One of the best experts on this subject based on the ideXlab platform.

  • Fast communication: Selective Correlation Detector for additive spread spectrum watermarking in transform domain
    Signal Processing, 2010
    Co-Authors: Hyun-wook Kim, Dooseop Choi, Hyuk Jin Choi, Tae Jeong Kim
    Abstract:

    As an improvement on additive spread spectrum (ASS) watermarking, this paper proposes the selective Correlation Detector (SCD), which performs Correlation detection on a portion rather than the whole block of the signal. The portion is determined based on the watermark-to-cover signal power ratio (WCR) and the estimated variance of the Correlation. A similar improvement has been obtained by improved spread spectrum (ISS) watermarking [6] (Malvar and Florencio, 2003), but we show that a better performance can be achieved by combining both algorithms. Experiments with or without a psychoacoustic model are conducted on several audio signals, and confirm the improvements by the SCD and by the combined ISS and SCD.

  • ISSPA - Optimal selective Correlation Detector for spread-spectrum watermarking systems
    2007 9th International Symposium on Signal Processing and Its Applications, 2007
    Co-Authors: Kim Hyun-wook, Hae Kyung Jung, Tae Jeong Kim
    Abstract:

    This paper proposes a new optimal Correlation Detector for additive spread spectrum watermarking systems. The proposed Detector divides the signal into blocks, on each of which detection is made and each block is again divided into several sub-blocks. It selects in each block the optimal number of sub-blocks with highest watermark to noise ratio (WNR) and performs the Correlation detection only on the selected sub-blocks. This corresponds to minimizing the variance of the Correlation. Experiments are conducted on audio signals of several different audio genres in the discrete fourier transform (DFT) magnitude domain, and the results show that the proposed Detector exhibits strong robustness to various attacks as well as dramatic improvement in performance.

Charles D Creusere - One of the best experts on this subject based on the ideXlab platform.

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