Symbol Error Rate

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L. Hanzo - One of the best experts on this subject based on the ideXlab platform.

  • minimum Symbol Error Rate turbo multiuser beamforming aided qam receiver
    Wireless Communications and Networking Conference, 2008
    Co-Authors: S. Chen, L. Hanzo
    Abstract:

    This paper studies a novel iterative soft interference cancellation (SIC) aided beamforming receiver designed for high-throughput quadrature amplitude modulation systems communicating over additive white Gaussian noise channels. The proposed linear SIC aided minimum Symbol Error Rate (MSER) multiuser detection scheme guarantees the direct and explicit minimisation of the Symbol Error Rate at the output of the detector. Based on the extrinsic information transfer (EXIT) chart technique, we compare the EXIT characteristics of an iterative MSER multiuser detector (MUD) with those of the conventional minimum mean squared Error (MMSE) detector. As expected, the proposed SIC- MSER MUD outperforms the SIC aided MMSE MUD.

  • WCNC - Minimum Symbol Error Rate Turbo Multiuser Beamforming Aided QAM Receiver
    2008 IEEE Wireless Communications and Networking Conference, 2008
    Co-Authors: S. Chen, L. Hanzo
    Abstract:

    This paper studies a novel iterative soft interference cancellation (SIC) aided beamforming receiver designed for high-throughput quadrature amplitude modulation systems communicating over additive white Gaussian noise channels. The proposed linear SIC aided minimum Symbol Error Rate (MSER) multiuser detection scheme guarantees the direct and explicit minimisation of the Symbol Error Rate at the output of the detector. Based on the extrinsic information transfer (EXIT) chart technique, we compare the EXIT characteristics of an iterative MSER multiuser detector (MUD) with those of the conventional minimum mean squared Error (MMSE) detector. As expected, the proposed SIC- MSER MUD outperforms the SIC aided MMSE MUD.

  • adaptive minimum Symbol Error Rate beamforming assisted detection for quadrature amplitude modulation
    IEEE Transactions on Wireless Communications, 2008
    Co-Authors: S. Chen, A Livingstone, H Q Du, L. Hanzo
    Abstract:

    We consider beamforming assisted detection for multiple antenna aided multiuser systems that employ the bandwidth efficient quadrature amplitude modulation scheme. A minimum Symbol Error Rate (MSER) design is proposed for the beamforming assisted receiver, and it is shown that this MSER design provides significant performance enhancement, in terms of achievable Symbol Error Rate, over the standard minimum mean square Error (MMSE) design. A sample-by-sample adaptive algorithm, referred to as the least Symbol Error Rate, is derived for adaptive implementation of the MSER beamforming solution. The proposed adaptive MSER scheme is evaluated in simulation using Rayleigh fading channels, in comparison with the adaptive MMSE benchmarker.

  • Iterative Multiuser Minimum Symbol Error Rate Beamforming Aided QAM Receiver
    IEEE Signal Processing Letters, 2008
    Co-Authors: S. Chen, L. Hanzo
    Abstract:

    A novel iterative soft interference cancellation (SIC) aided beamforming receiver is developed for high-throughput quadrature amplitude modulation systems. The proposed SIC-based minimum Symbol Error Rate (MSER) multiuser detection scheme guarantees the direct and explicit minimization of the Symbol Error Rate at the output of the detector. Adopting the extrinsic information transfer (EXIT) chart technique, we compare the EXIT characteristics of an iterative MSER multiuser detector (MUD) with those of the conventional minimum mean-squared Error (MMSE) detector. As expected, the proposed SIC-MSER MUD outperforms the SIC-MMSE MUD.

  • VTC Spring - Adaptive Minimum Symbol Error Rate Beamforming Assisted Receiver for Quadrature Amplitude Modulated Systems
    2006 IEEE 63rd Vehicular Technology Conference, 2006
    Co-Authors: S. Chen, H Q Du, L. Hanzo
    Abstract:

    An adaptive beamforming assisted receiver is proposed for multiple antenna aided multiuser systems that employ bandwidth efficient quadrature amplitude modulation (QAM). A novel minimum Symbol Error Rate (MSER) design is proposed for the beamforming assisted receiver, where the system's Symbol Error Rate is directly optimized. Hence the MSER approach provides a significant Symbol Error ratio performance enhancement over the classic minimum mean square Error design. A sample-by-sample adaptive algorithm, referred to as the least Symbol Error Rate (LBER) technique, is derived for allowing the adaptive implementation of the system to arrive from its initial beamforming weight solution to MSER beamforming solution.

S. Chen - One of the best experts on this subject based on the ideXlab platform.

  • minimum Symbol Error Rate turbo multiuser beamforming aided qam receiver
    Wireless Communications and Networking Conference, 2008
    Co-Authors: S. Chen, L. Hanzo
    Abstract:

    This paper studies a novel iterative soft interference cancellation (SIC) aided beamforming receiver designed for high-throughput quadrature amplitude modulation systems communicating over additive white Gaussian noise channels. The proposed linear SIC aided minimum Symbol Error Rate (MSER) multiuser detection scheme guarantees the direct and explicit minimisation of the Symbol Error Rate at the output of the detector. Based on the extrinsic information transfer (EXIT) chart technique, we compare the EXIT characteristics of an iterative MSER multiuser detector (MUD) with those of the conventional minimum mean squared Error (MMSE) detector. As expected, the proposed SIC- MSER MUD outperforms the SIC aided MMSE MUD.

  • WCNC - Minimum Symbol Error Rate Turbo Multiuser Beamforming Aided QAM Receiver
    2008 IEEE Wireless Communications and Networking Conference, 2008
    Co-Authors: S. Chen, L. Hanzo
    Abstract:

    This paper studies a novel iterative soft interference cancellation (SIC) aided beamforming receiver designed for high-throughput quadrature amplitude modulation systems communicating over additive white Gaussian noise channels. The proposed linear SIC aided minimum Symbol Error Rate (MSER) multiuser detection scheme guarantees the direct and explicit minimisation of the Symbol Error Rate at the output of the detector. Based on the extrinsic information transfer (EXIT) chart technique, we compare the EXIT characteristics of an iterative MSER multiuser detector (MUD) with those of the conventional minimum mean squared Error (MMSE) detector. As expected, the proposed SIC- MSER MUD outperforms the SIC aided MMSE MUD.

  • adaptive minimum Symbol Error Rate beamforming assisted detection for quadrature amplitude modulation
    IEEE Transactions on Wireless Communications, 2008
    Co-Authors: S. Chen, A Livingstone, H Q Du, L. Hanzo
    Abstract:

    We consider beamforming assisted detection for multiple antenna aided multiuser systems that employ the bandwidth efficient quadrature amplitude modulation scheme. A minimum Symbol Error Rate (MSER) design is proposed for the beamforming assisted receiver, and it is shown that this MSER design provides significant performance enhancement, in terms of achievable Symbol Error Rate, over the standard minimum mean square Error (MMSE) design. A sample-by-sample adaptive algorithm, referred to as the least Symbol Error Rate, is derived for adaptive implementation of the MSER beamforming solution. The proposed adaptive MSER scheme is evaluated in simulation using Rayleigh fading channels, in comparison with the adaptive MMSE benchmarker.

  • Iterative Multiuser Minimum Symbol Error Rate Beamforming Aided QAM Receiver
    IEEE Signal Processing Letters, 2008
    Co-Authors: S. Chen, L. Hanzo
    Abstract:

    A novel iterative soft interference cancellation (SIC) aided beamforming receiver is developed for high-throughput quadrature amplitude modulation systems. The proposed SIC-based minimum Symbol Error Rate (MSER) multiuser detection scheme guarantees the direct and explicit minimization of the Symbol Error Rate at the output of the detector. Adopting the extrinsic information transfer (EXIT) chart technique, we compare the EXIT characteristics of an iterative MSER multiuser detector (MUD) with those of the conventional minimum mean-squared Error (MMSE) detector. As expected, the proposed SIC-MSER MUD outperforms the SIC-MMSE MUD.

  • VTC Spring - Adaptive Minimum Symbol Error Rate Beamforming Assisted Receiver for Quadrature Amplitude Modulated Systems
    2006 IEEE 63rd Vehicular Technology Conference, 2006
    Co-Authors: S. Chen, H Q Du, L. Hanzo
    Abstract:

    An adaptive beamforming assisted receiver is proposed for multiple antenna aided multiuser systems that employ bandwidth efficient quadrature amplitude modulation (QAM). A novel minimum Symbol Error Rate (MSER) design is proposed for the beamforming assisted receiver, where the system's Symbol Error Rate is directly optimized. Hence the MSER approach provides a significant Symbol Error ratio performance enhancement over the classic minimum mean square Error design. A sample-by-sample adaptive algorithm, referred to as the least Symbol Error Rate (LBER) technique, is derived for allowing the adaptive implementation of the system to arrive from its initial beamforming weight solution to MSER beamforming solution.

K. Balachandran - One of the best experts on this subject based on the ideXlab platform.

  • Uncoded Symbol Error Rate estimation: methods and analysis
    IEEE Transactions on Vehicular Technology, 2005
    Co-Authors: W.k.m. Ahmed, K. Balachandran
    Abstract:

    In wireless communications systems, channel quality estimates are often used to provide a measure of the quality of service or to enable resource allocation techniques that improve system capacity and/or user quality. The uncoded bit or Symbol Error Rate (SER) is specified as a channel quality metric in second and third generation cellular systems (e.g., general packet radio service (GPRS), enhanced general packet radio service (EGPRS), and universal mobile telecommunications system (UMTS). Nonetheless, techniques to estimate the uncoded SER are typically outside the scope of these wireless standards and are not specified. In this paper, we analyze the performance of a number of uncoded SER estimation techniques, including a novel technique in which we use the soft information of the received Symbols to obtain a fast and accuRate estimate of the uncoded SER. The technique we introduce has been found to outperform, in terms of accuracy and required estimation interval, conventional hard-decision based techniques that use test-patterns, or use a decode/re-encode/compare approach . Our technique also outperforms the brute-force technique, which is to send a known test-pattern, demodulate it at the receiver, and count the observed discrepancies.

  • Methods for estimation of the uncoded Symbol Error Rate at the receiver
    Global Telecommunications Conference 2002. GLOBECOM '02. IEEE, 2002
    Co-Authors: W.k.m. Ahmed, K. Balachandran
    Abstract:

    In some communications systems, uncoded Symbol Error Rate (SER) estimation is required to be performed "on-the-fly" at the receiver, in order to provide a measure of the quality of service or to aid in the power control process required for CDMA systems. An example is the 3GPP WCDMA UMTS standard, where transport channel and physical channel bit Error Rates have been required as metrics to be estimated by the receiver. In this paper, we analyze the performance of a number of uncoded SER estimation techniques, including a novel technique in which we use the soft information of the received Symbols to obtain a fast and accuRate estimate of the uncoded SER. The technique we introduce outperforms the commonly used decode/re-encode/compare technique, in terms of accuracy and required estimation interval. Our technique also outperforms the brute-force technique, which is to send a known test-pattern, demodulate it at the receiver, and count the observed discrepancies.

Hua Yu - One of the best experts on this subject based on the ideXlab platform.

  • Proportionate Minimum-Symbol-Error-Rate Based Sparse Equalization for Underwater Acoustic Channels
    2019 IEEE International Conference on Signal Processing Communications and Computing (ICSPCC), 2019
    Co-Authors: Ailing Wu, Fangjiong Chen, Hua Yu, Zhenzhong Wang, Fei Ji
    Abstract:

    The minimum-Symbol-Error-Rate (MSER) decision feedback equalizer (DFE) has been developed for underwater channels. Comparing with conventional normalized least-mean-square (NLMS) with DFE, MSER-DFE shows significant performance improvement in terms of bit-Error-Rate (BER). However, it suffers from slow convergence. In this paper, to improve the convergence speed of MSER-DFE, we modify the objective function to exploit the sparsity of the channel equalizer and use the sparseness measure, which is referred to as sparse control proportionate minimum-Symbol-Error-Rate (SC-PMSER) DFE. By assigning larger weights to equalizer taps with larger values, we can speed up the convergence of the proposed equalizer at the cost of higher computational complexity. Simulation results show the effective of the proposed detector.

  • minimum Symbol Error Rate equalization based turbo receiver for underwater acoustic communications
    International Conference on UnderWater Networks and Systems, 2015
    Co-Authors: Xiaohui Zhong, Fangjiong Chen, Fei Ji, Beixiong Zheng, Hua Yu
    Abstract:

    The minimum-Symbol-Error-Rate (MSER) channel equalizer suffers from slow convergence when the channel has long delay spread. To solve this problem, in the paper we present an iterative turbo receiver by combining the linear MSER equalizer and the MAP channel decoder. With iterative information exchanges between the equalizer and the channel decoder, the turbo receiver updates the equalizer in each iteration. Simulations based on underwater acoustic channels with more than 140 taps show that the proposed scheme converges within a few turbo iterations, and outperforms the conventional minimum-mean-square-Error (MMSE) based equalizer.

  • WUWNet - Minimum Symbol-Error Rate Equalization Based Turbo Receiver for Underwater Acoustic Communications
    Proceedings of the 10th International Conference on Underwater Networks & Systems - WUWNET '15, 2015
    Co-Authors: Xiaohui Zhong, Fangjiong Chen, Fei Ji, Beixiong Zheng, Hua Yu
    Abstract:

    The minimum-Symbol-Error-Rate (MSER) channel equalizer suffers from slow convergence when the channel has long delay spread. To solve this problem, in the paper we present an iterative turbo receiver by combining the linear MSER equalizer and the MAP channel decoder. With iterative information exchanges between the equalizer and the channel decoder, the turbo receiver updates the equalizer in each iteration. Simulations based on underwater acoustic channels with more than 140 taps show that the proposed scheme converges within a few turbo iterations, and outperforms the conventional minimum-mean-square-Error (MMSE) based equalizer.

  • least Symbol Error Rate adaptive decision feedback equalization for underwater channel
    International Conference on UnderWater Networks and Systems, 2013
    Co-Authors: Beixiong Zheng, Fangjiong Chen, Fei Ji, Hua Yu
    Abstract:

    The decision feedback equalizer (DFE) has been applied in underwater channel equalization and has been shown to have promising performance. Existing DFEs for underwater communication are mainly based on the minimum-mean-square-Error (MMSE) criterion. In this paper we derive a new DFE based on the minimum-Symbol-Error Rate (MSER) criterion. The problem is formulated as minimizing the norm between two subsequent adaptations. The MSER criterion is converted to the constraint of correct Symbol detection. The resulting DFE has a simple structure, similar to the conventional LMS filter. Moreover, simulations show it significantly outperforms the MMSE based DFEs.

  • WUWNet - Least-Symbol-Error-Rate adaptive decision feedback equalization for underwater channel
    Proceedings of the Eighth ACM International Conference on Underwater Networks and Systems - WUWNet '13, 2013
    Co-Authors: Beixiong Zheng, Fangjiong Chen, Fei Ji, Hua Yu
    Abstract:

    The decision feedback equalizer (DFE) has been applied in underwater channel equalization and has been shown to have promising performance. Existing DFEs for underwater communication are mainly based on the minimum-mean-square-Error (MMSE) criterion. In this paper we derive a new DFE based on the minimum-Symbol-Error Rate (MSER) criterion. The problem is formulated as minimizing the norm between two subsequent adaptations. The MSER criterion is converted to the constraint of correct Symbol detection. The resulting DFE has a simple structure, similar to the conventional LMS filter. Moreover, simulations show it significantly outperforms the MMSE based DFEs.

Oscar C. Au - One of the best experts on this subject based on the ideXlab platform.

  • Exact Symbol Error Rate for Variable Length Codes Over Binary Symmetric Channel
    2007 IEEE International Conference on Acoustics Speech and Signal Processing - ICASSP '07, 2007
    Co-Authors: Jiantao Zhou, Zhiqin Liang, Oscar C. Au
    Abstract:

    In this paper, we analyze the Error recovery performance of variable length codes (VLCs) transmitted over binary symmetric channel (BSC). Simple expressions for the exact mean Symbol Error Rate (MSER) and the exact variance of Symbol Error Rate (VSER) for any crossover probability pe are presented. We also prove that the mean Error propagation length (MEPE) derived for single bit inversion Error case is a scaled value of MSER when pe tends to zero. Comparisons with simulations demonstRate the accuracy of the MSER and VSER expressions.

  • ICASSP (3) - Exact Symbol Error Rate for Variable Length Codes Over Binary Symmetric Channel
    2007 IEEE International Conference on Acoustics Speech and Signal Processing - ICASSP '07, 2007
    Co-Authors: Jiantao Zhou, Zhiqin Liang, Oscar C. Au
    Abstract:

    In this paper, we analyze the Error recovery performance of variable length codes (VLCs) transmitted over binary symmetric channel (BSC). Simple expressions for the exact mean Symbol Error Rate (MSER) and the exact variance of Symbol Error Rate (VSER) for any crossover probability pe are presented. We also prove that the mean Error propagation length (MEPE) derived for single bit inversion Error case is a scaled value of MSER when pe tends to zero. Comparisons with simulations demonstRate the accuracy of the MSER and VSER expressions.

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