The Experts below are selected from a list of 168 Experts worldwide ranked by ideXlab platform

Yamin Song - One of the best experts on this subject based on the ideXlab platform.

  • Discrete Frequency-Domain modeling and measuring of mild nonlinearity of Volterra transfer functions with a set of special sinusoid signals
    Conference Proceeding IEEE Pacific Rim Conference on Communications Computers and Signal Processing, 1
    Co-Authors: Ping Zhang, Yamin Song
    Abstract:

    A method for measuring first/second Volterra kernels in the Frequency Domain is given. For the case where the input signal is a superposition of many sinusoids, the Volterra modeling of a nonlinear system in a Discrete Frequency Domain is given. Using this model and carefully choosing input frequencies, one can measure the first/second Volterra kernels at many points simultaneously. A computer algorithm is proposed, and simulation results that show the efficiency of this method, are given. >

  • An algorithm to measure high order Volterra kernels
    IEEE International Symposium on Circuits and Systems, 1
    Co-Authors: Ping Zhang, Yamin Song
    Abstract:

    A fast and efficient QMMP algorithm for measuring a nonlinear system's first three Volterra kernals in the Frequency Domain is presented. A model of a nonlinear system in the Discrete Frequency Domain is given. Using this model and carefully choosing frequencies of the input sinusoidal signal, the first three Volterra transfer functions can be measured with many points. Simulation results are presented which show the effectiveness of this method. >

Xiang-gen Xia - One of the best experts on this subject based on the ideXlab platform.

  • ChinaSIP - IRCI free range reconstruction for co-located MIMO-OFDM radar
    2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP), 2015
    Co-Authors: Yunhe Cao, Xiang-gen Xia, Shenghua Wang
    Abstract:

    A MIMO-OFDM range reconstruction method based on cyclic prefix (CP) and its corresponding MIMO-OFDM waveform design for co-located MIMO radar systems are proposed. Our proposed MIMO-OFDM waveform design achieves the maximum signal-to-noise ratio (SNR) gain after the range reconstruction and its peak-to-average power ratio (PAPR) in the Discrete time Domain is also optimal, i.e., 0dB, when Zadoff-Chu sequences are used in the Discrete Frequency Domain as the weighting coefficients for the subcarriers. Finally, simulation results are presented to verify the effectiveness of the proposed method.

  • IRCI free colocated mimo radar based on sufficient cyclic prefix OFDM waveforms
    IEEE Transactions on Aerospace and Electronic Systems, 2015
    Co-Authors: Yunhe Cao, Xiang-gen Xia, Shenghua Wang
    Abstract:

    In this paper, we propose a cyclic prefix (CP)-based multiple-input multiple-output orthogonal Frequency-division multiplexing (MIMO-OFDM) range reconstruction method and its corresponding MIMO-OFDM waveform design for colocated MIMO radar systems. Our proposed MIMO-OFDM waveform design achieves the maximum signal-to-noise ratio gain after the range reconstruction, and its peak-to-average power ratio in the Discrete time Domain is also optimal, i.e., 0 dB, when Zadoff-Chu sequences are used in the Discrete Frequency Domain as the weighting coefficients for the subcarriers. We also investigate the performance when there are transmit and receive digital beamforming (DBF) pointing errors. It is shown that our proposed CP-based MIMO-OFDM range reconstruction is interrange cell interference free no matter whether there are transmit and receive DBF pointing errors or not. Simulation results are presented to verify the theory and compare it with the conventional OFDM and linear Frequency modulation colocated MIMO radars.

  • MIMO OFDM radar IRCI free range reconstruction with sufficient cyclic prefix
    IEEE Transactions on Aerospace and Electronic Systems, 2015
    Co-Authors: Xiang-gen Xia, Tianxian Zhang, Lingjiang Kong
    Abstract:

    In this paper, we propose multiple-input multiple-output (MIMO) orthogonal Frequency division multiplexing (OFDM) radar with sufficient cyclic prefix (CP), where all OFDM pulses transmitted from different transmitters share the same Frequency band and are orthogonal to each other for every subcarrier in the Discrete Frequency Domain. The orthogonality is not affected by time delays from transmitters. Thus, our proposed MIMO OFDM radar has the same range resolution as single transmitter radar and achieves full spatial diversity. Orthogonal designs are used to achieve this orthogonality across the transmitters, with which it is only needed to design OFDM pulses for the first transmitter. We also propose a joint pulse compression and pulse coherent integration for range reconstruction. In order to achieve the optimal signal-to-noise ratio (SNR) for the range reconstruction, we apply the paraunitary filterbank theory to design the OFDM pulses. We then propose a modified iterative clipping and filtering (MICF) algorithm for the designs of OFDM pulses jointly, when other important factors, such as peak-to-average power ratio (PAPR) in time Domain, are also considered.With our proposed MIMO OFDM radar, there is no interference for the range reconstruction not only across the transmitters but also across the range cells in a swath called inter-range-cell interference (IRCI) free that is similar to our previously proposed CP-based OFDM radar for single transmitter. Simulations are presented to illustrate our proposed theory and show that the CP-based MIMO OFDM radar outperforms the existing Frequency-band shared MIMO radar with polyphase codes and also Frequency division MIMO radar.

  • IRCI Free Colocated MIMO Radar Based on Sufficient Cyclic Prefix OFDM Waveforms
    arXiv: Information Theory, 2014
    Co-Authors: Yunhe Cao, Xiang-gen Xia, Shenghua Wang
    Abstract:

    In this paper, we propose a cyclic prefix (CP) based MIMO-OFDM range reconstruction method and its corresponding MIMO-OFDM waveform design for co-located MIMO radar systems. Our proposed MIMO-OFDM waveform design achieves the maximum signal-to-noise ratio (SNR) gain after the range reconstruction and its peak-to-average power ratio (PAPR) in the Discrete time Domain is also optimal, i.e., 0dB, when Zadoff-Chu sequences are used in the Discrete Frequency Domain as the weighting coefficients for the subcarriers. We also investigate the performance when there are transmit and receive digital beamforming (DBF) pointing errors. It is shown that our proposed CP based MIMO-OFDM range reconstruction is inter-range-cell interference (IRCI) free no matter whether there are transmit and receive DBF pointing errors or not. Simulation results are presented to verify the theory and compare it with the conventional OFDM and LFM co-located MIMO radars.

  • MIMO OFDM Radar IRCI Free Range Reconstruction with Sufficient Cyclic Prefix
    arXiv: Information Theory, 2014
    Co-Authors: Xiang-gen Xia, Tianxian Zhang, Lingjiang Kong
    Abstract:

    In this paper, we propose MIMO OFDM radar with sufficient cyclic prefix (CP), where all OFDM pulses transmitted from different transmitters share the same Frequency band and are orthogonal to each other for every subcarrier in the Discrete Frequency Domain. The orthogonality is not affected by time delays from transmitters. Thus, our proposed MIMO OFDM radar has the same range resolution as single transmitter radar and achieves full spatial diversity. Orthogonal designs are used to achieve this orthogonality across the transmitters, with which it is only needed to design OFDM pulses for the first transmitter. We also propose a joint pulse compression and pulse coherent integration for range reconstruction. In order to achieve the optimal SNR for the range reconstruction, we apply the paraunitary filterbank theory to design the OFDM pulses. We then propose a modified iterative clipping and filtering (MICF) algorithm for the designs of OFDM pulses jointly, when other important factors, such as peak-to-average power ratio (PAPR) in time Domain, are also considered. With our proposed MIMO OFDM radar, there is no interference for the range reconstruction not only across the transmitters but also across the range cells in a swath called inter-range-cell interference (IRCI) free that is similar to our previously proposed CP based OFDM radar for single transmitter. Simulations are presented to illustrate our proposed theory and show that the CP based MIMO OFDM radar outperforms the existing Frequency-band shared MIMO radar with polyphase codes and also Frequency division MIMO radar.

Magdy Tawfik Hanna - One of the best experts on this subject based on the ideXlab platform.

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

  • ChinaSIP - IRCI free range reconstruction for co-located MIMO-OFDM radar
    2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP), 2015
    Co-Authors: Yunhe Cao, Xiang-gen Xia, Shenghua Wang
    Abstract:

    A MIMO-OFDM range reconstruction method based on cyclic prefix (CP) and its corresponding MIMO-OFDM waveform design for co-located MIMO radar systems are proposed. Our proposed MIMO-OFDM waveform design achieves the maximum signal-to-noise ratio (SNR) gain after the range reconstruction and its peak-to-average power ratio (PAPR) in the Discrete time Domain is also optimal, i.e., 0dB, when Zadoff-Chu sequences are used in the Discrete Frequency Domain as the weighting coefficients for the subcarriers. Finally, simulation results are presented to verify the effectiveness of the proposed method.

  • IRCI free colocated mimo radar based on sufficient cyclic prefix OFDM waveforms
    IEEE Transactions on Aerospace and Electronic Systems, 2015
    Co-Authors: Yunhe Cao, Xiang-gen Xia, Shenghua Wang
    Abstract:

    In this paper, we propose a cyclic prefix (CP)-based multiple-input multiple-output orthogonal Frequency-division multiplexing (MIMO-OFDM) range reconstruction method and its corresponding MIMO-OFDM waveform design for colocated MIMO radar systems. Our proposed MIMO-OFDM waveform design achieves the maximum signal-to-noise ratio gain after the range reconstruction, and its peak-to-average power ratio in the Discrete time Domain is also optimal, i.e., 0 dB, when Zadoff-Chu sequences are used in the Discrete Frequency Domain as the weighting coefficients for the subcarriers. We also investigate the performance when there are transmit and receive digital beamforming (DBF) pointing errors. It is shown that our proposed CP-based MIMO-OFDM range reconstruction is interrange cell interference free no matter whether there are transmit and receive DBF pointing errors or not. Simulation results are presented to verify the theory and compare it with the conventional OFDM and linear Frequency modulation colocated MIMO radars.

  • IRCI Free Colocated MIMO Radar Based on Sufficient Cyclic Prefix OFDM Waveforms
    arXiv: Information Theory, 2014
    Co-Authors: Yunhe Cao, Xiang-gen Xia, Shenghua Wang
    Abstract:

    In this paper, we propose a cyclic prefix (CP) based MIMO-OFDM range reconstruction method and its corresponding MIMO-OFDM waveform design for co-located MIMO radar systems. Our proposed MIMO-OFDM waveform design achieves the maximum signal-to-noise ratio (SNR) gain after the range reconstruction and its peak-to-average power ratio (PAPR) in the Discrete time Domain is also optimal, i.e., 0dB, when Zadoff-Chu sequences are used in the Discrete Frequency Domain as the weighting coefficients for the subcarriers. We also investigate the performance when there are transmit and receive digital beamforming (DBF) pointing errors. It is shown that our proposed CP based MIMO-OFDM range reconstruction is inter-range-cell interference (IRCI) free no matter whether there are transmit and receive DBF pointing errors or not. Simulation results are presented to verify the theory and compare it with the conventional OFDM and LFM co-located MIMO radars.

Ping Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Discrete Frequency-Domain modeling and measuring of mild nonlinearity of Volterra transfer functions with a set of special sinusoid signals
    Conference Proceeding IEEE Pacific Rim Conference on Communications Computers and Signal Processing, 1
    Co-Authors: Ping Zhang, Yamin Song
    Abstract:

    A method for measuring first/second Volterra kernels in the Frequency Domain is given. For the case where the input signal is a superposition of many sinusoids, the Volterra modeling of a nonlinear system in a Discrete Frequency Domain is given. Using this model and carefully choosing input frequencies, one can measure the first/second Volterra kernels at many points simultaneously. A computer algorithm is proposed, and simulation results that show the efficiency of this method, are given. >

  • An algorithm to measure high order Volterra kernels
    IEEE International Symposium on Circuits and Systems, 1
    Co-Authors: Ping Zhang, Yamin Song
    Abstract:

    A fast and efficient QMMP algorithm for measuring a nonlinear system's first three Volterra kernals in the Frequency Domain is presented. A model of a nonlinear system in the Discrete Frequency Domain is given. Using this model and carefully choosing frequencies of the input sinusoidal signal, the first three Volterra transfer functions can be measured with many points. Simulation results are presented which show the effectiveness of this method. >