Pulse Repetition Interval

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Jianjun Huang - One of the best experts on this subject based on the ideXlab platform.

  • sparsity based space time adaptive processing for airborne radar with coprime array and coprime Pulse Repetition Interval
    International Conference on Acoustics Speech and Signal Processing, 2018
    Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun Huang
    Abstract:

    In this paper, we present a sparsity-based space-time adaptive processing (STAP) algorithm with coprime array and coprime Pulse Repetition Interval (PRI). The considered space-time coprime configuration can significantly save the cost. However, the direct STAP does not exploit the advantage of the large aperture brought by coprime configuration and the recently developed spatial-temporal smoothed-based STAP requires a large number of training snapshots. To solve these issues, we propose a sparsity-based STAP algorithm by using the spacial-temporal sparsity of clutter in virtual domain. Simulation results show that the proposed algorithm can obtain a much higher output signal-to-interference-plus-noise ratio and improve the convergence speed.

  • ICASSP - Sparsity-Based Space-Time Adaptive Processing for Airborne Radar with Coprime Array and Coprime Pulse Repetition Interval
    2018 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2018
    Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun Huang
    Abstract:

    In this paper, we present a sparsity-based space-time adaptive processing (STAP) algorithm with coprime array and coprime Pulse Repetition Interval (PRI). The considered space-time coprime configuration can significantly save the cost. However, the direct STAP does not exploit the advantage of the large aperture brought by coprime configuration and the recently developed spatial-temporal smoothed-based STAP requires a large number of training snapshots. To solve these issues, we propose a sparsity-based STAP algorithm by using the spacial-temporal sparsity of clutter in virtual domain. Simulation results show that the proposed algorithm can obtain a much higher output signal-to-interference-plus-noise ratio and improve the convergence speed.

  • space time adaptive processing for clutter suppression in coprime array and coprime Pulse Repetition Interval airborne radar
    International Symposium on Intelligent Signal Processing and Communication Systems, 2017
    Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun Huang
    Abstract:

    This paper develops two novel space-time adaptive processing (STAP) filters for clutter suppression in airborne radar with the coprime space-time sampling, which is realized by the coprime array and coprime Pulse Repetition Interval (PRI). Different from the conventional STAP filters, the proposed STAP filters are derived by three steps. Firstly, a virtual space-time snapshot is constructed using the property of the coprime sampling. Secondly, an equivalent covariance matrix with enhanced degrees of freedom is computed by using spatial-temporal smoothing approach. Thirdly, two optimal STAP filters are derived based on the estimated covariance matrix. Simulations are conducted to validate the effectiveness of the proposed filters.

  • ISPACS - Space-time adaptive processing for clutter suppression in coprime array and coprime Pulse Repetition Interval airborne radar
    2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2017
    Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun Huang
    Abstract:

    This paper develops two novel space-time adaptive processing (STAP) filters for clutter suppression in airborne radar with the coprime space-time sampling, which is realized by the coprime array and coprime Pulse Repetition Interval (PRI). Different from the conventional STAP filters, the proposed STAP filters are derived by three steps. Firstly, a virtual space-time snapshot is constructed using the property of the coprime sampling. Secondly, an equivalent covariance matrix with enhanced degrees of freedom is computed by using spatial-temporal smoothing approach. Thirdly, two optimal STAP filters are derived based on the estimated covariance matrix. Simulations are conducted to validate the effectiveness of the proposed filters.

  • space time adaptive processing airborne radar with coprime Pulse Repetition Interval
    IEEE International Radar Conference, 2016
    Co-Authors: Zhaocheng Yang, Jingxiong Huang, Jianjun Huang, Li Kang
    Abstract:

    In this paper, motivated by the success of coprime array in the direction-of-arrival (DOA) estimation, we introduce the idea of coprime Pulse Repetition Interval (PRI) into the space-time adaptive processing (STAP) airborne radar. Through transmitting and receiving the Pulses with coprime PRI, we can reduce the transmitting energy and improve the capabilities of electronic counter-countermeasures (ECCM). We use the lags between the receiving Pulses to construct virtual Pulses. By using the virtual Pulses, we can obtain a new snapshot with a larger dimension than the real one. The constructed snapshots are exploited to estimate the clutter-plus-noise covariance matrix and then to form the STAP filter. Simulation results show that the proposed coprime PRI strategy STAP radar can achieve a good performance with reduced Pulses.

Hirokazu Matsumoto - One of the best experts on this subject based on the ideXlab platform.

  • two color absolute length measuring method based on Pulse Repetition Interval lengths
    Optical Engineering, 2014
    Co-Authors: Masato Aketagawa, Kiyoshi Takamasu, Hirokazu Matsumoto
    Abstract:

    A unique absolute length measurement method is proposed and demonstrated for the first time. Since it takes advantage of both the high-accuracy measurement capability of a Pulse train interference method and the ability of a two-color method to compensate for environmental changes, the present method is expected to be useful for high-precision length measurement for not only the purposes of laboratory science but also for satisfying the requirements of industry. A length measurement was performed to demonstrate the feasibility of the proposed method.

  • A study of the possibility of using an adjacent Pulse Repetition Interval length as a scale using a Helium–Neon interferometer
    Precision Engineering-journal of The International Societies for Precision Engineering and Nanotechnology, 2013
    Co-Authors: Kiyoshi Takamasu, Hirokazu Matsumoto
    Abstract:

    a b s t r a c t The possibility of using an adjacent Pulse Repetition Interval length (APRIL) as a scale is investigated. Theoretical analysis showed that an APRIL can be used as a standard for a high-accuracy distant evaluation. In an experiment, an APRIL was measured by using a Helium-Neon interferometer, and the measurement was compared with the result of a direct frequency count. The difference was a few hundred nanometers, and thus the APRIL's effectiveness as a length scale was confirmed. The present concept and analysis pave the way for the development of the remote transfer of APRIL as a length standard via fiber networks.

  • a study of the possibility of using an adjacent Pulse Repetition Interval length as a scale using a helium neon interferometer
    Precision Engineering-journal of The International Societies for Precision Engineering and Nanotechnology, 2013
    Co-Authors: Kiyoshi Takamasu, Hirokazu Matsumoto
    Abstract:

    a b s t r a c t The possibility of using an adjacent Pulse Repetition Interval length (APRIL) as a scale is investigated. Theoretical analysis showed that an APRIL can be used as a standard for a high-accuracy distant evaluation. In an experiment, an APRIL was measured by using a Helium-Neon interferometer, and the measurement was compared with the result of a direct frequency count. The difference was a few hundred nanometers, and thus the APRIL's effectiveness as a length scale was confirmed. The present concept and analysis pave the way for the development of the remote transfer of APRIL as a length standard via fiber networks.

  • synthetic adjacent Pulse Repetition Interval length method to solve integer ambiguity problem theoretical analysis
    Journal of the European Optical Society: Rapid Publications, 2013
    Co-Authors: Kiyoshi Takamasu, Hirokazu Matsumoto
    Abstract:

    This paper describes a novel approach for realizing femtosecond optical frequency comb (FOFC)-based length measurement. This approach is based on the analogy between the phase unwrapping problem and the integer ambiguity problem. Because the conventional synthetic wavelength method can solve the former, we investigated the possibility of using a synthetic adjacent Pulse Repetition Interval length method to solve the latter. The results of theoretical analyses and numerical investigations show the feasibility of the proposed method. Our results should contribute toward the further development of FOFC-based length measurement methods.

  • measurement accuracy of the Pulse Repetition Interval based excess fraction prief method an analogy based theoretical analysis
    Journal of the European Optical Society: Rapid Publications, 2012
    Co-Authors: Hirokazu Matsumoto
    Abstract:

    We describe a novel approach for a theoretical analysis of the measurement accuracy of the Pulse Repetition Interval-based excess fraction8 (PRIEF) method, which is expected to be useful for high-precision length measurement. The proposed approach is introduced by focusing on an analogy between the PRIEF method and the conventional length-measurement method. The theoretical analysis results show that the absolute accuracy achievable by the PRIEF method is nanometer-order, and the relative accuracy achievable by the PRIEF method is 10^-8-order, which is affected mainly by the measuring accuracy of the refractive index of air. We conclude that our analysis is useful for further development of the PRIEF method.

Zhaocheng Yang - One of the best experts on this subject based on the ideXlab platform.

  • sparsity based space time adaptive processing for airborne radar with coprime array and coprime Pulse Repetition Interval
    International Conference on Acoustics Speech and Signal Processing, 2018
    Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun Huang
    Abstract:

    In this paper, we present a sparsity-based space-time adaptive processing (STAP) algorithm with coprime array and coprime Pulse Repetition Interval (PRI). The considered space-time coprime configuration can significantly save the cost. However, the direct STAP does not exploit the advantage of the large aperture brought by coprime configuration and the recently developed spatial-temporal smoothed-based STAP requires a large number of training snapshots. To solve these issues, we propose a sparsity-based STAP algorithm by using the spacial-temporal sparsity of clutter in virtual domain. Simulation results show that the proposed algorithm can obtain a much higher output signal-to-interference-plus-noise ratio and improve the convergence speed.

  • ICASSP - Sparsity-Based Space-Time Adaptive Processing for Airborne Radar with Coprime Array and Coprime Pulse Repetition Interval
    2018 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2018
    Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun Huang
    Abstract:

    In this paper, we present a sparsity-based space-time adaptive processing (STAP) algorithm with coprime array and coprime Pulse Repetition Interval (PRI). The considered space-time coprime configuration can significantly save the cost. However, the direct STAP does not exploit the advantage of the large aperture brought by coprime configuration and the recently developed spatial-temporal smoothed-based STAP requires a large number of training snapshots. To solve these issues, we propose a sparsity-based STAP algorithm by using the spacial-temporal sparsity of clutter in virtual domain. Simulation results show that the proposed algorithm can obtain a much higher output signal-to-interference-plus-noise ratio and improve the convergence speed.

  • space time adaptive processing for clutter suppression in coprime array and coprime Pulse Repetition Interval airborne radar
    International Symposium on Intelligent Signal Processing and Communication Systems, 2017
    Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun Huang
    Abstract:

    This paper develops two novel space-time adaptive processing (STAP) filters for clutter suppression in airborne radar with the coprime space-time sampling, which is realized by the coprime array and coprime Pulse Repetition Interval (PRI). Different from the conventional STAP filters, the proposed STAP filters are derived by three steps. Firstly, a virtual space-time snapshot is constructed using the property of the coprime sampling. Secondly, an equivalent covariance matrix with enhanced degrees of freedom is computed by using spatial-temporal smoothing approach. Thirdly, two optimal STAP filters are derived based on the estimated covariance matrix. Simulations are conducted to validate the effectiveness of the proposed filters.

  • ISPACS - Space-time adaptive processing for clutter suppression in coprime array and coprime Pulse Repetition Interval airborne radar
    2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2017
    Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun Huang
    Abstract:

    This paper develops two novel space-time adaptive processing (STAP) filters for clutter suppression in airborne radar with the coprime space-time sampling, which is realized by the coprime array and coprime Pulse Repetition Interval (PRI). Different from the conventional STAP filters, the proposed STAP filters are derived by three steps. Firstly, a virtual space-time snapshot is constructed using the property of the coprime sampling. Secondly, an equivalent covariance matrix with enhanced degrees of freedom is computed by using spatial-temporal smoothing approach. Thirdly, two optimal STAP filters are derived based on the estimated covariance matrix. Simulations are conducted to validate the effectiveness of the proposed filters.

  • space time adaptive processing airborne radar with coprime Pulse Repetition Interval
    IEEE International Radar Conference, 2016
    Co-Authors: Zhaocheng Yang, Jingxiong Huang, Jianjun Huang, Li Kang
    Abstract:

    In this paper, motivated by the success of coprime array in the direction-of-arrival (DOA) estimation, we introduce the idea of coprime Pulse Repetition Interval (PRI) into the space-time adaptive processing (STAP) airborne radar. Through transmitting and receiving the Pulses with coprime PRI, we can reduce the transmitting energy and improve the capabilities of electronic counter-countermeasures (ECCM). We use the lags between the receiving Pulses to construct virtual Pulses. By using the virtual Pulses, we can obtain a new snapshot with a larger dimension than the real one. The constructed snapshots are exploited to estimate the clutter-plus-noise covariance matrix and then to form the STAP filter. Simulation results show that the proposed coprime PRI strategy STAP radar can achieve a good performance with reduced Pulses.

Xiaoye Wang - One of the best experts on this subject based on the ideXlab platform.

  • sparsity based space time adaptive processing for airborne radar with coprime array and coprime Pulse Repetition Interval
    International Conference on Acoustics Speech and Signal Processing, 2018
    Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun Huang
    Abstract:

    In this paper, we present a sparsity-based space-time adaptive processing (STAP) algorithm with coprime array and coprime Pulse Repetition Interval (PRI). The considered space-time coprime configuration can significantly save the cost. However, the direct STAP does not exploit the advantage of the large aperture brought by coprime configuration and the recently developed spatial-temporal smoothed-based STAP requires a large number of training snapshots. To solve these issues, we propose a sparsity-based STAP algorithm by using the spacial-temporal sparsity of clutter in virtual domain. Simulation results show that the proposed algorithm can obtain a much higher output signal-to-interference-plus-noise ratio and improve the convergence speed.

  • ICASSP - Sparsity-Based Space-Time Adaptive Processing for Airborne Radar with Coprime Array and Coprime Pulse Repetition Interval
    2018 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2018
    Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun Huang
    Abstract:

    In this paper, we present a sparsity-based space-time adaptive processing (STAP) algorithm with coprime array and coprime Pulse Repetition Interval (PRI). The considered space-time coprime configuration can significantly save the cost. However, the direct STAP does not exploit the advantage of the large aperture brought by coprime configuration and the recently developed spatial-temporal smoothed-based STAP requires a large number of training snapshots. To solve these issues, we propose a sparsity-based STAP algorithm by using the spacial-temporal sparsity of clutter in virtual domain. Simulation results show that the proposed algorithm can obtain a much higher output signal-to-interference-plus-noise ratio and improve the convergence speed.

  • space time adaptive processing for clutter suppression in coprime array and coprime Pulse Repetition Interval airborne radar
    International Symposium on Intelligent Signal Processing and Communication Systems, 2017
    Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun Huang
    Abstract:

    This paper develops two novel space-time adaptive processing (STAP) filters for clutter suppression in airborne radar with the coprime space-time sampling, which is realized by the coprime array and coprime Pulse Repetition Interval (PRI). Different from the conventional STAP filters, the proposed STAP filters are derived by three steps. Firstly, a virtual space-time snapshot is constructed using the property of the coprime sampling. Secondly, an equivalent covariance matrix with enhanced degrees of freedom is computed by using spatial-temporal smoothing approach. Thirdly, two optimal STAP filters are derived based on the estimated covariance matrix. Simulations are conducted to validate the effectiveness of the proposed filters.

  • ISPACS - Space-time adaptive processing for clutter suppression in coprime array and coprime Pulse Repetition Interval airborne radar
    2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2017
    Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun Huang
    Abstract:

    This paper develops two novel space-time adaptive processing (STAP) filters for clutter suppression in airborne radar with the coprime space-time sampling, which is realized by the coprime array and coprime Pulse Repetition Interval (PRI). Different from the conventional STAP filters, the proposed STAP filters are derived by three steps. Firstly, a virtual space-time snapshot is constructed using the property of the coprime sampling. Secondly, an equivalent covariance matrix with enhanced degrees of freedom is computed by using spatial-temporal smoothing approach. Thirdly, two optimal STAP filters are derived based on the estimated covariance matrix. Simulations are conducted to validate the effectiveness of the proposed filters.

Kiyoshi Takamasu - One of the best experts on this subject based on the ideXlab platform.

  • two color absolute length measuring method based on Pulse Repetition Interval lengths
    Optical Engineering, 2014
    Co-Authors: Masato Aketagawa, Kiyoshi Takamasu, Hirokazu Matsumoto
    Abstract:

    A unique absolute length measurement method is proposed and demonstrated for the first time. Since it takes advantage of both the high-accuracy measurement capability of a Pulse train interference method and the ability of a two-color method to compensate for environmental changes, the present method is expected to be useful for high-precision length measurement for not only the purposes of laboratory science but also for satisfying the requirements of industry. A length measurement was performed to demonstrate the feasibility of the proposed method.

  • a study of the possibility of using an adjacent Pulse Repetition Interval length as a scale using a helium neon interferometer
    Precision Engineering-journal of The International Societies for Precision Engineering and Nanotechnology, 2013
    Co-Authors: Kiyoshi Takamasu, Hirokazu Matsumoto
    Abstract:

    a b s t r a c t The possibility of using an adjacent Pulse Repetition Interval length (APRIL) as a scale is investigated. Theoretical analysis showed that an APRIL can be used as a standard for a high-accuracy distant evaluation. In an experiment, an APRIL was measured by using a Helium-Neon interferometer, and the measurement was compared with the result of a direct frequency count. The difference was a few hundred nanometers, and thus the APRIL's effectiveness as a length scale was confirmed. The present concept and analysis pave the way for the development of the remote transfer of APRIL as a length standard via fiber networks.

  • A study of the possibility of using an adjacent Pulse Repetition Interval length as a scale using a Helium–Neon interferometer
    Precision Engineering-journal of The International Societies for Precision Engineering and Nanotechnology, 2013
    Co-Authors: Kiyoshi Takamasu, Hirokazu Matsumoto
    Abstract:

    a b s t r a c t The possibility of using an adjacent Pulse Repetition Interval length (APRIL) as a scale is investigated. Theoretical analysis showed that an APRIL can be used as a standard for a high-accuracy distant evaluation. In an experiment, an APRIL was measured by using a Helium-Neon interferometer, and the measurement was compared with the result of a direct frequency count. The difference was a few hundred nanometers, and thus the APRIL's effectiveness as a length scale was confirmed. The present concept and analysis pave the way for the development of the remote transfer of APRIL as a length standard via fiber networks.

  • synthetic adjacent Pulse Repetition Interval length method to solve integer ambiguity problem theoretical analysis
    Journal of the European Optical Society: Rapid Publications, 2013
    Co-Authors: Kiyoshi Takamasu, Hirokazu Matsumoto
    Abstract:

    This paper describes a novel approach for realizing femtosecond optical frequency comb (FOFC)-based length measurement. This approach is based on the analogy between the phase unwrapping problem and the integer ambiguity problem. Because the conventional synthetic wavelength method can solve the former, we investigated the possibility of using a synthetic adjacent Pulse Repetition Interval length method to solve the latter. The results of theoretical analyses and numerical investigations show the feasibility of the proposed method. Our results should contribute toward the further development of FOFC-based length measurement methods.

  • Pulse Repetition Interval based excess fraction method for an arbitrary and absolute distance measurement using a femtosecond optical frequency comb
    Proceedings of SPIE, 2012
    Co-Authors: Kiyoshi Takamasu, Hirokazu Matsumoto
    Abstract:

    The fundamental importance of length measurement and traceability is clear. In July 2009, the national standard tool for measuring length in Japan changed from an iodine-stabilized helium-neon (He-Ne) laser to a femtosecond optical frequency comb (FOFC). Because of the great potential for a technological revolution in length measurement, FOFC based length measurement has attracted much attention from physicists and engineers. This paper is intended to give a description to the concept, the principle, and a demonstration of a new length measurement technique, called Pulse Repetition Interval-based Excess Fraction (PRIEF) method, which was developed for an arbitrary and absolute length measurement that is directly linked to an FOFC. The basic idea of this new technique was inspired by the analogy between the wavelength of a monochromatic laser source and the Pulse Repetition Interval of an FOFC. Just as a conventional Excess Fraction method can determine an arbitrary and absolute length of a gauge block based on the wavelength of a monochromatic laser source, the same Excess Fraction method can range an arbitrary and absolute length as a function of the Pulse Repetition Interval of an FOFC. A demonstration of the proposed method is presented. A literature review of Pulse laser based length measurement is also performed. From the result of the preliminary experiment and the literature review, it has been show the possibility that PRIEF method can be used for a high-accuracy distant evaluation.

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