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Yang Li

Publications

Citations

Publications by Year

20172021

Co-Authors:

Rick S. BlumAlexander M. HaimovichQian HeKumar Vijay MishraWanxin Shi

Yang Li

Affiliation

Department of Electronic Engineering

University of Electronic Science and Technology of China (UESTC)

Chengdu, Sichuan, China

National University of Defense Technology, Hefei Anhui, China

Publication Topics

Complex Gaussian,
Complex Gaussian Random Variables,
Detection Performance,
Detection Probability,
Gaussian Random Variables,
Independent Random Variables,
Monte Carlo Simulation,
Probability Density Function,
Random Selection,
Reflection Coefficient,
Ambiguity Function,
Analytical Results

Biography

Yang Li received the B.Eng. and Ph.D. degrees in electronic engineering from the University of Electronic Science and Technology of China, Chengdu, China, in 2013 and 2020, respectively. Since 2020, he has been with the National University of Defense Technology, Hefei, China, where he is currently a Lecturer. His research interests include statistical signal processing, array signal processing, and MIMO radar target detection.(Based on document published on 20 May 2021).

Publications

Citations

Publications by Year

20172021

Co-Authors:

Rick S. Blum
Alexander M. Haimovich
Qian He
Kumar Vijay Mishra
Wanxin Shi

Author's Published Works

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Showing 1-9 of 9 results

Conferences (5)

Journals (4)

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Single Year
Yang Li(9)
Qian He(9)
Rick S. Blum(7)
Alexander M. Haimovich(2)
Kumar Vijay Mishra(1)
Lehigh University, Bethlehem, PA, USA(6)
University of Electronic Science and Technology of China, Chengdu, China(4)
University of Electronic Science and Technology of China, Chengdu, Sichuan, China(3)
Technion - Israel Institute of Technology, Haifa, Israel(1)
Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA(1)
IEEE Transactions on Signal Processing(2)
2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)(1)
2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM)(1)
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)(1)
2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)(1)
IEEE(9)
Barcelona, Spain(1)
Calgary, AB, Canada(1)
Curacao(1)
Hangzhou, China(1)
Sheffield, UK(1)
Detection Performance(6)
Complex Gaussian(5)
Detection Probability(5)
Reflection Coefficient(5)
Antenna Selection(3)

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Receiver Design With Reduced DOF in Frequency Domain for Target Detection Under Gaussian Clutter

Yang Li;Qian He;Rick S. Blum;Alexander M. Haimovich

IEEE Transactions on Signal Processing

Year: 2021 | Volume: 69 | Journal Article |

Cited by: Papers (1)

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This paper addresses the problem of target detection against a background of Gaussian clutter by using frequency snapshots with reduced degrees of freedom (DOF). We derive the optimal detector and detection performance under the Neyman-Pearson criterion for general frequency snapshot selection with arbitrary DOF. When the clutter statistics are unknown, we use a uniformly random frequency snapshot...Show More

Receiver Design With Reduced DOF in Frequency Domain for Target Detection Under Gaussian Clutter

Yang Li;Qian He;Rick S. Blum;Alexander M. Haimovich

IEEE Transactions on Signal Processing

Year: 2021 | Volume: 69 | Journal Article |

Target Detection in Clutter Using Receiver with Reduced DOF in Frequency Domain

Yang Li;Qian He;Rick S. Blum;Alexander M. Haimovich

2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)

Year: 2020 | Conference Paper |

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This paper addresses the problem of target detection against a background of clutter by using frequency snapshots with reduced degrees of freedom (DOF). We derive the optimal detector under the Neyman-Pearson criterion for general frequency snapshots selection with arbitrary DOF. If the clutter statistics are known/well-estimated, a greedy method for selecting the frequency snapshots is presented....Show More

Target Detection in Clutter Using Receiver with Reduced DOF in Frequency Domain

Yang Li;Qian He;Rick S. Blum;Alexander M. Haimovich

2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM)

Year: 2020 | Conference Paper |

Distribution of the Product of a Complex Gaussian Matrix and Vector and Its Sum with a Complex Gaussian Vector

Wanxin Shi;Yang Li;Qian He

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Year: 2020 | Conference Paper |

Cited by: Papers (4)

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In this paper, we derive the distribution of the product of a complex Gaussian matrix and a complex Gaussian vector. Further, we calculate the distribution of the sum of this product and a complex Gaussian vector, which generalizes the recent results where a complex Gaussian scalar is considered instead of a complex Gaussian matrix. The exact probability density functions (pdf) are derived for bot...Show More

Distribution of the Product of a Complex Gaussian Matrix and Vector and Its Sum with a Complex Gaussian Vector

Wanxin Shi;Yang Li;Qian He

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Year: 2020 | Conference Paper |

On the Product of Two Correlated Complex Gaussian Random Variables

Yang Li;Qian He;Rick S. Blum

IEEE Signal Processing Letters

Year: 2020 | Volume: 27 | Journal Article |

Cited by: Papers (11)

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In this letter, we derive the exact joint probability density function (pdf) of the amplitude and phase of the product of two correlated non-zero mean complex Gaussian random variables with arbitrary variances. This distribution is useful in many problems, for example radar and communication systems. We determine the joint pdf in terms of an infinite summation of modified Bessel functions of the f...Show More

On the Product of Two Correlated Complex Gaussian Random Variables

Yang Li;Qian He;Rick S. Blum

IEEE Signal Processing Letters

Year: 2020 | Volume: 27 | Journal Article |

On the Ratio of Two Correlated Complex Gaussian Random Variables

Yang Li;Qian He

IEEE Communications Letters

Year: 2019 | Volume: 23, Issue: 12 | Journal Article |

Cited by: Papers (11)

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In this letter, we derive new results for the statistics of the ratio of two complex Gaussian random variables (RVs), where the numerator and denominator may have arbitrary means and are possibly correlated. Exact expressions are derived for the joint probability density function (pdf) of the real and imaginary parts, for the joint pdf of the amplitude and phase, and also for the joint characteris...Show More

On the Ratio of Two Correlated Complex Gaussian Random Variables

Yang Li;Qian He

IEEE Communications Letters

Year: 2019 | Volume: 23, Issue: 12 | Journal Article |

Limited-Complexity Receiver Design for Passive/Active MIMO Radar Detection

Yang Li;Qian He;Rick S. Blum

IEEE Transactions on Signal Processing

Year: 2019 | Volume: 67, Issue: 12 | Journal Article |

Cited by: Papers (15)

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In this paper, we develop efficient methods for devising lower complexity receivers that can achieve performance close to the full complexity receivers for passive/active multiple-input multiple-output (MIMO) radar. The method employed eliminates some parts of the test statistic to lower either hardware or software complexity. For the case of spatially uncorrelated reflection coefficients and spat...Show More

Limited-Complexity Receiver Design for Passive/Active MIMO Radar Detection

Yang Li;Qian He;Rick S. Blum

IEEE Transactions on Signal Processing

Year: 2019 | Volume: 67, Issue: 12 | Journal Article |

MIMO Radar Target Detection Using Low-Complexity Receiver

Yang Li;Qian He;Rick S. Blum

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Year: 2018 | Conference Paper |

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This paper studies reduced complexity target detection using multiple-input-multiple-output (MIMO) radar with lower complexity. To reduce either hardware or software complexity, some parts of the test statistic are eliminated in the proposed method. For the general case where clutter-plus-noise and reflection coefficients are correlated, the test statistic requires the computation of a set of matc...Show More

MIMO Radar Target Detection Using Low-Complexity Receiver

Yang Li;Qian He;Rick S. Blum

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Year: 2018 | Conference Paper |

Sub-Nyquist Sampling for Target Detection in Clutter

Yang Li;Qian He;Rick S. Blum;Kumar Vijay Mishra

2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM)

Year: 2018 | Conference Paper |

Cited by: Papers (1)

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We analyze target detection for sub-Nyquist radar in an environment with clutter. The target is assumed to be a Gaussian point target and the clutter a stationary Gaussian random process. The optimal detector and detection probability under the Neyman-Pearson criterion is derived. We show that the performance loss due to sub-Nyqusit sampling can be very small in the tested examples. When the signa...Show More

Sub-Nyquist Sampling for Target Detection in Clutter

Yang Li;Qian He;Rick S. Blum;Kumar Vijay Mishra

2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM)

Year: 2018 | Conference Paper |

Illuminator of opportunity selection for passive radar

Yang Li;Qian He;Rick S. Blum

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

Year: 2017 | Conference Paper |

Cited by: Papers (4)

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Passive radar can obtain performance benefits by using multiple receivers and multiple illuminators of opportunity (IOO). However, employing a large number of IOOs is costly in terms of hardware. Thus, it is sometimes necessary to limit the total number of selected IOOs. The IOO selection scheme for maximizing target detection performance is studied in this paper, under the assumption that the num...Show More

Illuminator of opportunity selection for passive radar

Yang Li;Qian He;Rick S. Blum

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

Year: 2017 | Conference Paper |

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Author details

Yang Li

Yang Li

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Biography

Showing 1-9 of 9 results

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Receiver Design With Reduced DOF in Frequency Domain for Target Detection Under Gaussian Clutter

Receiver Design With Reduced DOF in Frequency Domain for Target Detection Under Gaussian Clutter

Target Detection in Clutter Using Receiver with Reduced DOF in Frequency Domain

Target Detection in Clutter Using Receiver with Reduced DOF in Frequency Domain

Distribution of the Product of a Complex Gaussian Matrix and Vector and Its Sum with a Complex Gaussian Vector

Distribution of the Product of a Complex Gaussian Matrix and Vector and Its Sum with a Complex Gaussian Vector

On the Product of Two Correlated Complex Gaussian Random Variables

On the Product of Two Correlated Complex Gaussian Random Variables

On the Ratio of Two Correlated Complex Gaussian Random Variables

On the Ratio of Two Correlated Complex Gaussian Random Variables

Limited-Complexity Receiver Design for Passive/Active MIMO Radar Detection

Limited-Complexity Receiver Design for Passive/Active MIMO Radar Detection

MIMO Radar Target Detection Using Low-Complexity Receiver

MIMO Radar Target Detection Using Low-Complexity Receiver

Sub-Nyquist Sampling for Target Detection in Clutter

Sub-Nyquist Sampling for Target Detection in Clutter

Illuminator of opportunity selection for passive radar

Illuminator of opportunity selection for passive radar

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