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

  • MIMO SAR OFDM chirp Waveform diversity design with random matrix modulation
    IEEE Transactions on Geoscience and Remote Sensing, 2015
    Co-Authors: Wen-qin Wang
    Abstract:

    Multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) has received much attention due to its interesting application potentials, but effective Waveform diversity design is still a technical challenge. In a MIMO SAR, each antenna should transmit a unique Waveform, orthogonal to the Waveforms transmitted by other antennas. The Waveforms should have a large time-bandwidth product, low cross-correlation interferences, and a low peak-average ratio. To reach these aims, this paper proposes an orthogonal frequency division multiplexing (OFDM) chirp Waveform with random matrix modulation. The designed Waveforms are time-delay and frequency-shift decorrelated. Referring to MIMO SAR high-resolution imaging, the proposed OFDM chirp Waveform parameters are optimally designed, and their performances are analyzed through the ambiguity function and range-Doppler-based MIMO SAR imaging algorithm. Extensive and comparative simulation results show that the Waveforms have the superiorities of high range resolution, constant time domain and almost constant frequency-domain modulus, large time-bandwidth product, low peak-average ratio, and low time-delay and frequency-shift correlation peaks. More importantly, this scheme can easily generate over three orthogonal Waveforms with a large time-bandwidth product.

  • Low peak-to-average ratio OFDM chirp Waveform diversity design
    2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2014
    Co-Authors: Wen-qin Wang, Long-ting Huang, Hing-cheung So, Yuan Chen
    Abstract:

    Large time-bandwidth product Waveform diversity design is a challenging topic in multiple-input multiple-output radar high-resolution imaging because existing methods usually can generate only two large time-bandwidth product Waveforms. This paper proposes a new low peak-to-average ratio (PAR) orthogonal frequency division multiplexing chirp Waveform diversity design through randomly subchirp modulation. This method can easily yield over two orthogonal large time-bandwidth product Waveforms. More Waveforms means that more degrees-of-freedom can be obtained for the system. The Waveform performance is evaluated by the ambiguity function. It is shown that the designed Waveform has the superiorities of a large time-bandwidth product which means high range resolution and low transmit power are allowed for the system, almost constant time-domain and frequency-domain modulus, low PAR and no range-Doppler coupling response in tracking moving targets.

  • ICASSP - Low peak-to-average ratio OFDM chirp Waveform diversity design
    2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2014
    Co-Authors: Wen-qin Wang, Long-ting Huang, Hing-cheung So, Yuan Chen
    Abstract:

    Large time-bandwidth product Waveform diversity design is a challenging topic in multiple-input multiple-output radar high-resolution imaging because existing methods usually can generate only two large time-bandwidth product Waveforms. This paper proposes a new low peak-to-average ratio (PAR) orthogonal frequency division multiplexing chirp Waveform diversity design through randomly subchirp modulation. This method can easily yield over two orthogonal large time-bandwidth product Waveforms. More Waveforms means that more degrees-of-freedom can be obtained for the system. The Waveform performance is evaluated by the ambiguity function. It is shown that the designed Waveform has the superiorities of a large time-bandwidth product which means high range resolution and low transmit power are allowed for the system, almost constant time-domain and frequency-domain modulus, low PAR and no range-Doppler coupling response in tracking moving targets.

  • MIMO SAR chirp modulation diversity Waveform design
    IEEE Geoscience and Remote Sensing Letters, 2014
    Co-Authors: Wen-qin Wang
    Abstract:

    Waveform diversity design is a vital issue in multiple-input multiple-output (MIMO) synthetic aperture radar (SAR) systems because the Waveforms should have good orthogonality, high coherence, and large time-bandwidth product. However, most of the existing Waveforms are not suitable for MIMO SAR and difficult to be implemented in a real-life scene. This letter investigates a scheme for designing chirp modulation diversity Waveforms with large time-bandwidth product, constant modulus, implementation simplicity, good Doppler tolerance, and orthogonality. The four Waveforms are orthogonal on both transmit and receive. The Waveform performances are investigated through the correlation and ambiguity functions. Numerical results validate the superiorities of the designed four Waveforms in MIMO SAR high-resolution imaging.

Peter Willett - One of the best experts on this subject based on the ideXlab platform.

  • Reducing the Waveform Cross Correlation of MIMO Radar With Space #x2013;Time Coding
    IEEE Transactions on Signal Processing, 2010
    Co-Authors: X. Song, Shenghua Zhou, Peter Willett
    Abstract:

    Multiple-input-multiple-output (MIMO) radar is attractive for target detection, parameter identification, and target classification due to diversity of Waveform and perspective. However, the mutual interference among the Waveforms may lead to performance degradation in resolving spatially close returns. In this paper, we consider the use of space-time coding (STC) to mitigate the Waveform cross-correlation effects in MIMO radar. First, it turns out that a joint Waveform optimization problem can be decoupled into a set of individual Waveform design problems. Second, a number of monostatic Waveforms can be directly used in a MIMO radar system, which offers flexibility in Waveform selection. We provide conditions for the elimination of Waveform cross correlation, and discuss four kinds of space time codes. In addition, we also extend the model to partial Waveform cross-correlation removal based on Waveform set division. Numerical results demonstrate the effectiveness of STC in MIMO radar for Waveform decorrelation.

  • Reducing the Waveform Cross Correlation of MIMO Radar With Space–Time Coding
    IEEE Transactions on Signal Processing, 2010
    Co-Authors: X. Song, Shengli Zhou, Peter Willett
    Abstract:

    Multiple-input-multiple-output (MIMO) radar is attractive for target detection, parameter identification, and target classification due to diversity of Waveform and perspective. However, the mutual interference among the Waveforms may lead to performance degradation in resolving spatially close returns. In this paper, we consider the use of space-time coding (STC) to mitigate the Waveform cross-correlation effects in MIMO radar. First, it turns out that a joint Waveform optimization problem can be decoupled into a set of individual Waveform design problems. Second, a number of monostatic Waveforms can be directly used in a MIMO radar system, which offers flexibility in Waveform selection. We provide conditions for the elimination of Waveform cross correlation, and discuss four kinds of space time codes. In addition, we also extend the model to partial Waveform cross-correlation removal based on Waveform set division. Numerical results demonstrate the effectiveness of STC in MIMO radar for Waveform decorrelation.

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

  • Reducing the Waveform Cross Correlation of MIMO Radar With Space #x2013;Time Coding
    IEEE Transactions on Signal Processing, 2010
    Co-Authors: X. Song, Shenghua Zhou, Peter Willett
    Abstract:

    Multiple-input-multiple-output (MIMO) radar is attractive for target detection, parameter identification, and target classification due to diversity of Waveform and perspective. However, the mutual interference among the Waveforms may lead to performance degradation in resolving spatially close returns. In this paper, we consider the use of space-time coding (STC) to mitigate the Waveform cross-correlation effects in MIMO radar. First, it turns out that a joint Waveform optimization problem can be decoupled into a set of individual Waveform design problems. Second, a number of monostatic Waveforms can be directly used in a MIMO radar system, which offers flexibility in Waveform selection. We provide conditions for the elimination of Waveform cross correlation, and discuss four kinds of space time codes. In addition, we also extend the model to partial Waveform cross-correlation removal based on Waveform set division. Numerical results demonstrate the effectiveness of STC in MIMO radar for Waveform decorrelation.

  • Reducing the Waveform Cross Correlation of MIMO Radar With Space–Time Coding
    IEEE Transactions on Signal Processing, 2010
    Co-Authors: X. Song, Shengli Zhou, Peter Willett
    Abstract:

    Multiple-input-multiple-output (MIMO) radar is attractive for target detection, parameter identification, and target classification due to diversity of Waveform and perspective. However, the mutual interference among the Waveforms may lead to performance degradation in resolving spatially close returns. In this paper, we consider the use of space-time coding (STC) to mitigate the Waveform cross-correlation effects in MIMO radar. First, it turns out that a joint Waveform optimization problem can be decoupled into a set of individual Waveform design problems. Second, a number of monostatic Waveforms can be directly used in a MIMO radar system, which offers flexibility in Waveform selection. We provide conditions for the elimination of Waveform cross correlation, and discuss four kinds of space time codes. In addition, we also extend the model to partial Waveform cross-correlation removal based on Waveform set division. Numerical results demonstrate the effectiveness of STC in MIMO radar for Waveform decorrelation.

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

  • Low peak-to-average ratio OFDM chirp Waveform diversity design
    2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2014
    Co-Authors: Wen-qin Wang, Long-ting Huang, Hing-cheung So, Yuan Chen
    Abstract:

    Large time-bandwidth product Waveform diversity design is a challenging topic in multiple-input multiple-output radar high-resolution imaging because existing methods usually can generate only two large time-bandwidth product Waveforms. This paper proposes a new low peak-to-average ratio (PAR) orthogonal frequency division multiplexing chirp Waveform diversity design through randomly subchirp modulation. This method can easily yield over two orthogonal large time-bandwidth product Waveforms. More Waveforms means that more degrees-of-freedom can be obtained for the system. The Waveform performance is evaluated by the ambiguity function. It is shown that the designed Waveform has the superiorities of a large time-bandwidth product which means high range resolution and low transmit power are allowed for the system, almost constant time-domain and frequency-domain modulus, low PAR and no range-Doppler coupling response in tracking moving targets.

  • ICASSP - Low peak-to-average ratio OFDM chirp Waveform diversity design
    2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2014
    Co-Authors: Wen-qin Wang, Long-ting Huang, Hing-cheung So, Yuan Chen
    Abstract:

    Large time-bandwidth product Waveform diversity design is a challenging topic in multiple-input multiple-output radar high-resolution imaging because existing methods usually can generate only two large time-bandwidth product Waveforms. This paper proposes a new low peak-to-average ratio (PAR) orthogonal frequency division multiplexing chirp Waveform diversity design through randomly subchirp modulation. This method can easily yield over two orthogonal large time-bandwidth product Waveforms. More Waveforms means that more degrees-of-freedom can be obtained for the system. The Waveform performance is evaluated by the ambiguity function. It is shown that the designed Waveform has the superiorities of a large time-bandwidth product which means high range resolution and low transmit power are allowed for the system, almost constant time-domain and frequency-domain modulus, low PAR and no range-Doppler coupling response in tracking moving targets.

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

  • Continuous MIMO Radar Waveform Optimization
    2019 IEEE International Conference on Signal Information and Data Processing (ICSIDP), 2019
    Co-Authors: Aoya Wang, Shenghua Zhou, Zhiqiang Shao, Jianlai Wang
    Abstract:

    Current Waveform optimization for colocated Multiple-Input Multiple-Output (MIMO) radar focuses on pulsed radar. In this paper, we study Waveform design for continuous Waveform MIMO radar that steers transmit beams toward different directions in a time-division mode. A Waveform design criterion is formulated, which tends to fit a given transmit beampattern and to suppress auto/mutual correlation sidelobes of angular Waveforms illuminated into different spatial directions. Numerical results are given for transmit beampatterns with one and two peaks to verify the effectiveness of the Waveform design criterion. Different from pulsed-radar, angular Waveforms associated with continuous-Waveform MIMO radar does not bear a bell outline.

  • Doppler sensitivity of MIMO radar Waveforms
    IEEE Transactions on Aerospace and Electronic Systems, 2016
    Co-Authors: Shenghua Zhou, Hongwei Liu, Huikai Zang Hongtao Su
    Abstract:

    Doppler sensitivity of multiple-input multiple-output (MIMO) radar Waveforms is complicated but rarely is of concern in most existing MIMO Waveform designs. For both distributed and colocated MIMO radar, this paper studies the impact of Doppler sensitivity on both autocorrelation and mutual correlation sidelobes of both constant-modulus MIMO transmit Waveforms and angular Waveforms in theory and via numerical results, finding that Doppler sensitivity deserves consideration in future MIMO radar Waveform designs.

  • Two Waveform design criteria for colocated MIMO radar
    2014 International Radar Conference, 2014
    Co-Authors: Shenghua Zhou, Huikai Zang
    Abstract:

    Different from phased-array radar, multiple-input multiple-output (MIMO) radar with colocated antennas would illuminate Waveforms with different signatures into different spatial directions. In this paper, we study the Waveform design problem for colocated MIMO radar and state the necessity to suppress sidelobes of returns of possible targets rather than the Waveforms illuminated from antennas. A Waveform design criterion for omnidirectional beampattern is proposed that suppresses both auto-correlation and cross-correlation sidelobes of angular Waveforms. We also propose that received beamforming can also be taken into account in Waveform design and then propose another Waveform design criterion that suppresses only auto-correlation sidelobes of possible target returns, leaving cross-correlation sidelobes suppressed in receive beamforming. Numerical results indicate that the later can achieve a lower sidelobe level.

  • Reducing the Waveform Cross Correlation of MIMO Radar With Space #x2013;Time Coding
    IEEE Transactions on Signal Processing, 2010
    Co-Authors: X. Song, Shenghua Zhou, Peter Willett
    Abstract:

    Multiple-input-multiple-output (MIMO) radar is attractive for target detection, parameter identification, and target classification due to diversity of Waveform and perspective. However, the mutual interference among the Waveforms may lead to performance degradation in resolving spatially close returns. In this paper, we consider the use of space-time coding (STC) to mitigate the Waveform cross-correlation effects in MIMO radar. First, it turns out that a joint Waveform optimization problem can be decoupled into a set of individual Waveform design problems. Second, a number of monostatic Waveforms can be directly used in a MIMO radar system, which offers flexibility in Waveform selection. We provide conditions for the elimination of Waveform cross correlation, and discuss four kinds of space time codes. In addition, we also extend the model to partial Waveform cross-correlation removal based on Waveform set division. Numerical results demonstrate the effectiveness of STC in MIMO radar for Waveform decorrelation.