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Johan Karlsson - One of the best experts on this subject based on the ideXlab platform.

  • enhanced multistatic active Sonar Signal Processing
    International Conference on Acoustics Speech and Signal Processing, 2013
    Co-Authors: Kexin Zhao, Junli Liang, Johan Karlsson
    Abstract:

    This paper focuses on two Signal Processing aspects of multistatic active Sonar systems, namely enhanced range-Doppler imaging and improved target parameter estimation. The main contributions of this paper are: i) a hybrid dense-sparse method is proposed to generate range-Doppler images with both low sidelobe levels and high accuracy; ii) a generalized K-Means clustering (GKC) method for target association is developed to associate the range measurements from different transmitter-receiver pairs; iii) the extended invariance principle-based weighted least-squares (EXIP-WLS) method is developed for accurate target position and velocity estimation. The effectiveness of the proposed multistatic active Sonar system is verified using numerical examples.

  • Enhanced multistatic active Sonar Signal Processing.
    The Journal of the Acoustical Society of America, 2013
    Co-Authors: Kexin Zhao, Junli Liang, Johan Karlsson
    Abstract:

    Multistatic active Sonar systems involve the transmission and reception of multiple probing sequences and can achieve significantly enhanced performance of target detection and localization through exploiting spatial diversity. This paper mainly focuses on two Signal Processing aspects of such systems, namely, enhanced range-Doppler imaging and improved target parameter estimation. The main contributions of this paper are (1) a hybrid dense-sparse method is proposed to generate range-Doppler images with both low sidelobe levels and high accuracy; (2) a generalized K-Means clustering (GKC) method for target association is developed to associate the range measurements from different transmitter-receiver pairs, which is actually a range fitting procedure; (3) the extended invariance principle-based weighted least-squares method is developed for accurate target position and velocity estimation. The effectiveness of the proposed multistatic active Sonar Signal Processing techniques is verified using numerical examples.

Kexin Zhao - One of the best experts on this subject based on the ideXlab platform.

  • enhanced multistatic active Sonar Signal Processing
    International Conference on Acoustics Speech and Signal Processing, 2013
    Co-Authors: Kexin Zhao, Junli Liang, Johan Karlsson
    Abstract:

    This paper focuses on two Signal Processing aspects of multistatic active Sonar systems, namely enhanced range-Doppler imaging and improved target parameter estimation. The main contributions of this paper are: i) a hybrid dense-sparse method is proposed to generate range-Doppler images with both low sidelobe levels and high accuracy; ii) a generalized K-Means clustering (GKC) method for target association is developed to associate the range measurements from different transmitter-receiver pairs; iii) the extended invariance principle-based weighted least-squares (EXIP-WLS) method is developed for accurate target position and velocity estimation. The effectiveness of the proposed multistatic active Sonar system is verified using numerical examples.

  • Enhanced multistatic active Sonar Signal Processing.
    The Journal of the Acoustical Society of America, 2013
    Co-Authors: Kexin Zhao, Junli Liang, Johan Karlsson
    Abstract:

    Multistatic active Sonar systems involve the transmission and reception of multiple probing sequences and can achieve significantly enhanced performance of target detection and localization through exploiting spatial diversity. This paper mainly focuses on two Signal Processing aspects of such systems, namely, enhanced range-Doppler imaging and improved target parameter estimation. The main contributions of this paper are (1) a hybrid dense-sparse method is proposed to generate range-Doppler images with both low sidelobe levels and high accuracy; (2) a generalized K-Means clustering (GKC) method for target association is developed to associate the range measurements from different transmitter-receiver pairs, which is actually a range fitting procedure; (3) the extended invariance principle-based weighted least-squares method is developed for accurate target position and velocity estimation. The effectiveness of the proposed multistatic active Sonar Signal Processing techniques is verified using numerical examples.

Stergios Stergiopoulos - One of the best experts on this subject based on the ideXlab platform.

  • implementation of adaptive and synthetic aperture Processing schemes in integrated active passive Sonar systems
    Proceedings of the IEEE, 1998
    Co-Authors: Stergios Stergiopoulos
    Abstract:

    Progress in the implementation of state-of-the-art Signal Processing schemes in Sonar systems is limited mainly by the moderate advance made in Sonar computing architectures and the lack of operational evaluation of the advanced Processing schemes. Until recently, matrix-based Processing techniques, such as adaptive and synthetic-aperture Processing, could not be efficiently implemented in the current type of Sonar systems, even though it is widely believed that they have advantages that can address the requirements associated with the difficult operational problems that next-generation Sonars will have to solve. Interestingly, adaptive and synthetic-aperture techniques may be viewed by other disciplines as conventional schemes. For the Sonar technology discipline, however, they are considered as advanced schemes because of the very limited progress that has been made in their implementation in Sonar systems. This paper is intended to address issues of implementation of advanced Processing schemes in Sonar systems and also to serve as a brief overview to the principles and applications of advanced Sonar Signal Processing. The main development reported in this paper deals with the definition of a generic beam-forming structure that allows the implementation of nonconventional Signal-Processing techniques in integrated active-passive Sonar systems. These schemes are adaptive and synthetic-aperture beam formers that have been shown experimentally to provide improvements in array gain for Signals embedded in partially correlated noise fields. Using target tracking and localization results as performance criteria, the impact and merits of these techniques are contrasted with those obtained using the conventional beam former.

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

  • enhanced multistatic active Sonar Signal Processing
    International Conference on Acoustics Speech and Signal Processing, 2013
    Co-Authors: Kexin Zhao, Junli Liang, Johan Karlsson
    Abstract:

    This paper focuses on two Signal Processing aspects of multistatic active Sonar systems, namely enhanced range-Doppler imaging and improved target parameter estimation. The main contributions of this paper are: i) a hybrid dense-sparse method is proposed to generate range-Doppler images with both low sidelobe levels and high accuracy; ii) a generalized K-Means clustering (GKC) method for target association is developed to associate the range measurements from different transmitter-receiver pairs; iii) the extended invariance principle-based weighted least-squares (EXIP-WLS) method is developed for accurate target position and velocity estimation. The effectiveness of the proposed multistatic active Sonar system is verified using numerical examples.

  • Enhanced multistatic active Sonar Signal Processing.
    The Journal of the Acoustical Society of America, 2013
    Co-Authors: Kexin Zhao, Junli Liang, Johan Karlsson
    Abstract:

    Multistatic active Sonar systems involve the transmission and reception of multiple probing sequences and can achieve significantly enhanced performance of target detection and localization through exploiting spatial diversity. This paper mainly focuses on two Signal Processing aspects of such systems, namely, enhanced range-Doppler imaging and improved target parameter estimation. The main contributions of this paper are (1) a hybrid dense-sparse method is proposed to generate range-Doppler images with both low sidelobe levels and high accuracy; (2) a generalized K-Means clustering (GKC) method for target association is developed to associate the range measurements from different transmitter-receiver pairs, which is actually a range fitting procedure; (3) the extended invariance principle-based weighted least-squares method is developed for accurate target position and velocity estimation. The effectiveness of the proposed multistatic active Sonar Signal Processing techniques is verified using numerical examples.

Jun Ling - One of the best experts on this subject based on the ideXlab platform.

  • adaptive range doppler imaging and target parameter estimation in multistatic active Sonar systems
    IEEE Journal of Oceanic Engineering, 2014
    Co-Authors: Jun Ling, Luzhou Xu, Jian Li
    Abstract:

    Multistatic active Sonar systems involve the transmission and reception of multiple probing sequences. Since the multiple simultaneously transmitted probing sequences act as interferences to one another, adaptive receiver filters are needed for interference suppression and for target range-Doppler imaging. Two adaptive receiver designs, namely, the iterative adaptive approach (IAA) and the sparse learning via iterative minimization (SLIM) method, are considered for range-Doppler imaging via multistatic active Sonar. The so-obtained range-Doppler images allow us to further estimate the target parameters. Specifically, we use the popular quasi-Newton method for target position estimation and the least squares (LS) fitting approach for target velocity determination. The effectiveness of the proposed multistatic active Sonar Signal Processing techniques is verified using numerical examples.

  • Multistatic adaptive active Sonar Signal Processing
    OCEANS 2011 IEEE - Spain, 2011
    Co-Authors: Jun Ling
    Abstract:

    Multistatic active Sonar systems involve the transmission and reception of multiple probing sequences, which provide a basis for extraction of target information in a region of interest. Since the multiple probing sequences act as interferences to one another, adaptive receiver filters are needed for interference suppression. Two adaptive receiver designs, namely the iterative adaptive approach and the sparse learning via iterative minimization method, are considered for range-Doppler imaging via multistatic active Sonar. The effectiveness of the proposed multistatic active Sonar techniques is verified using numerical examples.