Patents by Inventor Chengwei ZHOU
Chengwei ZHOU has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11879986Abstract: The present disclosure discloses a three-dimensional co-prime cubic array direction-of-arrival estimation method based on a cross-correlation tensor, mainly solving the problems of multi-dimensional signal structured information loss and Nyquist mismatch in existing methods and comprising the following implementing steps: constructing a three-dimensional co-prime cubic array; carrying out tensor modeling on a receiving signal of the three-dimensional co-prime cubic array; calculating six-dimensional second-order cross-correlation tensor statistics; deducing a three-dimensional virtual uniform cubic array equivalent signal tensor based on cross-correlation tensor dimension merging transformation; constructing a four-dimensional virtual domain signal tensor based on mirror image augmentation of the three-dimensional virtual uniform cubic array; constructing a signal and noise subspace in a Kronecker product form through virtual domain signal tensor decomposition; and acquiring a direction-of-arrival estimationType: GrantFiled: January 20, 2021Date of Patent: January 23, 2024Assignee: Zhejiang UniversityInventors: Zhiguo Shi, Hang Zheng, Chengwei Zhou, Jiming Chen, Yong Wang
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Patent number: 11841448Abstract: The present invention belongs to the field of array signal processing and relates to a composite tensor beamforming method for an electromagnetic vector coprime planar array. The method includes: building an electromagnetic vector coprime planar array; performing tensor modeling of an electromagnetic vector coprime planar array receiving signal; designing a three-dimensional weight tensor corresponding to a coprime sparse uniform sub-planar array; forming a tensor beam power pattern of the coprime sparse uniform sub-planar array; and performing electromagnetic vector coprime planar array tensor beamforming based on coprime composite processing of the sparse uniform sub-planar array. Starting from the principles of receiving signal tensor spatial filtering of two sparse uniform sub-planar arrays that compose the electromagnetic vector coprime planar array, the present invention forms a coprime composite processing method based on a sparse uniform sub-planar array output signal.Type: GrantFiled: December 16, 2020Date of Patent: December 12, 2023Assignee: Zhejiang UniversityInventors: Jiming Chen, Zhiguo Shi, Hang Zheng, Chengwei Zhou
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Publication number: 20230280433Abstract: Disclosed in the present invention is a method for estimating a direction of arrival of a sub-array partition type L-shaped coprime array based on fourth-order sampling covariance tensor denoising, which mainly solves problems of a damage to a signal structure and noise term interference to high-order virtual domain statistics in an existing method. The implementation steps are as follows: constructing an L-shaped coprime array partitioned with linear sub-arrays; modeling a receiving signal of the L-shaped coprime array and deriving a second-order cross-correlation matrix thereof, deriving a fourth-order covariance tensor based on the cross-correlation matrix; realizing fourth-order sampling covariance tensor denoising based on kernel tensor thresholding; deriving a fourth-order virtual domain signal based on denoised sampling covariance tensor; constructing a denoised structured virtual domain tensor; obtaining a direction of arrival estimation result by decomposing the structured virtual domain tensor.Type: ApplicationFiled: October 29, 2021Publication date: September 7, 2023Applicant: Zhejiang UniversityInventors: Jiming CHEN, Hang ZHENG, Chengwei ZHOU, Zhiguo SHI
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Publication number: 20230276832Abstract: An ultrasonic preparation method of protein peptide-polysaccharide nanoparticles loaded with bioactive components is conducted as follows: Chitosan solution containing 1% glacial acetic acid is added gently to the casein phosphopeptide solution containing quercetin stock solution in an equal volume under constant magnetic stirring; pH is adjusted accordingly before subjecting the mixture solution to ultrasonic treatment; after ultrasonication, the quercetin-loaded casein phosphopeptide-chitosan nanoparticles are obtained by freeze-drying. In the process of using the electrostatic interaction between the casein phosphopeptide and the chitosan to embed the quercetin, the present disclosure employed the multi-mode ultrasonic processing technology to facilitate the cross-linking of the polypeptide and the polysaccharide through the physical force of ultrasound. This enabled the complex encapsulation to incorporate additional bioactive components.Type: ApplicationFiled: January 11, 2022Publication date: September 7, 2023Applicant: JIANGSU UNIVERSITYInventors: Haile MA, Xiaofeng REN, Qiufang LIANG, Xinru SUN, Xueqiong LIU, Jialin TANG, Chengwei ZHOU
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Publication number: 20230213606Abstract: The disclosure provides a method for estimating a direction of arrival of an L-type coprime array based on coupled tensor decomposition. The method includes: constructing an L-type coprime array with separated sub-arrays and modeling a received signal; deriving a fourth-order covariance tensor of the received signal of the L-type coprime array; deriving a fourth-order virtual domain signal corresponding to an augmented virtual uniform cross array; dividing the virtual uniform cross array by translation; constructing a coupled virtual domain tensor by stacking a translation virtual domain signal; and obtaining a direction of arrival estimation result by coupled virtual domain tensor decomposition.Type: ApplicationFiled: July 12, 2021Publication date: July 6, 2023Applicant: Zhejiang UniversityInventors: Hang ZHENG, Chengwei ZHOU, Zhiguo SHI, Jiming CHEN
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Publication number: 20230055481Abstract: The present disclosure discloses a three-dimensional co-prime cubic array direction-of-arrival estimation method based on a cross-correlation tensor, mainly solving the problems of multi-dimensional signal structured information loss and Nyquist mismatch in existing methods and comprising the following implementing steps: constructing a three-dimensional co-prime cubic array; carrying out tensor modeling on a receiving signal of the three-dimensional co-prime cubic array; calculating six-dimensional second-order cross-correlation tensor statistics; deducing a three-dimensional virtual uniform cubic array equivalent signal tensor based on cross-correlation tensor dimension merging transformation; constructing a four-dimensional virtual domain signal tensor based on mirror image augmentation of the three-dimensional virtual uniform cubic array; constructing a signal and noise subspace in a Kronecker product form through virtual domain signal tensor decomposition; and acquiring a direction-of-arrival estimationType: ApplicationFiled: January 20, 2021Publication date: February 23, 2023Applicant: Zhejiang UniversityInventors: Zhiguo SHI, Hang ZHENG, Chengwei ZHOU, Jiming CHEN, Yong WANG
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Publication number: 20230048116Abstract: The present invention belongs to the field of array signal processing and relates to a composite tensor beamforming method for an electromagnetic vector coprime planar array. The method includes: building an electromagnetic vector coprime planar array; performing tensor modeling of an electromagnetic vector coprime planar array receiving signal; designing a three-dimensional weight tensor corresponding to a coprime sparse uniform sub-planar array; forming a tensor beam power pattern of the coprime sparse uniform sub-planar array; and performing electromagnetic vector coprime planar array tensor beamforming based on coprime composite processing of the sparse uniform sub-planar array. Starting from the principles of receiving signal tensor spatial filtering of two sparse uniform sub-planar arrays that compose the electromagnetic vector coprime planar array, the present invention forms a coprime composite processing method based on a sparse uniform sub-planar array output signal.Type: ApplicationFiled: December 16, 2020Publication date: February 16, 2023Applicant: Zhejiang UniversityInventors: Jiming CHEN, Zhiguo SHI, Hang ZHENG, Chengwei ZHOU
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Patent number: 11567161Abstract: The invention discloses a method for estimating the direction-of-arrival of a coprime array based on virtual domain statistics reconstruction of single-bit quantized signal. The realization steps are as follows: arranging a coprime array and a single-bit analog-to-digital converter at a receiving end; calculating equivalent virtual signal corresponding to a single-bit receipt signal of the coprime array; constructing a virtual domain augmented covariance matrix of an initialized single-bit quantized signal; designing, based on statistical correlation analysis between statistics of the single-bit quantized signal and the original unquantized signal, an optimization problem based on virtual domain statistics reconstruction of quantized signal; and performing direction-of-arrival estimation by utilizing the virtual domain augmented covariance matrix corresponding to the optimized single-bit quantized signal.Type: GrantFiled: November 3, 2020Date of Patent: January 31, 2023Assignee: ZHEJIANG UNIVERSITYInventors: Chengwei Zhou, Zhiguo Shi, Jiming Chen
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Publication number: 20220417590Abstract: Optical flow information is determined and used to identify a video clip from among a sequence of frames. The video clip may be identified based on motion features derived in part from the optical flow information. In some embodiments, semantic information is concatenated with the motion features derived from the optical flow information.Type: ApplicationFiled: August 19, 2022Publication date: December 29, 2022Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Jingjun JIAO, Chengwei Zhou, Yanlong Sun, Wei Li, Zhezhu Jin, Yingying Jiang, Lanlan Zhang
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Patent number: 11422177Abstract: Disclosed is a spatial spectrum estimation method with enhanced degree-of-freedom based on block sampling tensor construction for coprime planar array, which mainly solves the multi-dimensional information loss in signals and degree-of-freedom limitation in the existing methods and which is implemented by the following steps: constructing a coprime planar array; modeling block sampling tensors of the coprime planar array; deducing coarray statistics based on the block sampling cross-correlation tensor; obtaining block sampling coarray signals of a virtual uniform array; constructing a three-dimensional block sampling coarray tensor and its fourth-order auto-correlation statistics; constructing signal and noise subspaces based on fourth-order auto-correlation tensor decomposition; estimating a tensor spatial spectrum with enhanced degrees-of-freedom.Type: GrantFiled: August 6, 2021Date of Patent: August 23, 2022Assignee: ZHEJIANG UNIVERSITYInventors: Jiming Chen, Hang Zheng, Zhiguo Shi, Chengwei Zhou
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Patent number: 11408960Abstract: A two-dimensional direction-of-arrival estimation method for a coprime planar array based on structured coarray tensor processing, the method includes: deploying a coprime planar array; modeling a tensor of the received signals; deriving the second-order equivalent signals of an augmented virtual array based on cross-correlation tensor transformation; deploying a three-dimensional coarray tensor of the virtual array; deploying a five-dimensional coarray tensor based on a coarray tensor dimension extension strategy; forming a structured coarray tensor including three-dimensional spatial information; and achieving two-dimensional direction-of-arrival estimation through CANDECOMP/PARACFAC decomposition.Type: GrantFiled: August 13, 2021Date of Patent: August 9, 2022Assignee: ZHEJIANG UNIVERSITYInventors: Zhiguo Shi, Hang Zheng, Chengwei Zhou, Jiming Chen
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Publication number: 20220179031Abstract: The invention discloses a method for estimating the direction-of-arrival of a coprime array based on virtual domain statistics reconstruction of single-bit quantized signal, which mainly solves the problems of difficult realization of software and hardware, limited degree of freedom and the like in the prior art.Type: ApplicationFiled: November 3, 2020Publication date: June 9, 2022Applicant: ZHEJIANG UNIVERSITYInventors: Chengwei ZHOU, Zhiguo SHI, Jiming CHEN
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Patent number: 11300648Abstract: Disclosed is a high-resolution accurate two-dimensional direction-of-arrival estimation method based on coarray tensor spatial spectrum searching with coprime planar array, which solves the problem of multi-dimensional signal loss and limited spatial spectrum resolution and accuracy in existing methods. The implementation steps are: constructing a coprime planar array; tensor signal modeling for the coprime planar array; deriving coarray statistics based on coprime planar array cross-correlation tensor; constructing the equivalent signals of a virtual uniform array; deriving a spatially smoothed fourth-order auto-correlation coarray tensor; realizing signal and noise subspace classification through coarray tensor feature extraction; performing high-resolution accurate two-dimensional direction-of-arrival estimation based on coarray tensor spatial spectrum searching.Type: GrantFiled: August 6, 2021Date of Patent: April 12, 2022Assignee: ZHEJIANG UNIVERSITYInventors: Chengwei Zhou, Hang Zheng, Jiming Chen, Zhiguo Shi
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Publication number: 20210373113Abstract: A two-dimensional direction-of-arrival estimation method for a coprime planar array based on structured coarray tensor processing, the method includes: deploying a coprime planar array; modeling a tensor of the received signals; deriving the second-order equivalent signals of an augmented virtual array based on cross-correlation tensor transformation; deploying a three-dimensional coarray tensor of the virtual array; deploying a five-dimensional coarray tensor based on a coarray tensor dimension extension strategy; forming a structured coarray tensor including three-dimensional spatial information; and achieving two-dimensional direction-of-arrival estimation through CANDECOMP/PARACFAC decomposition.Type: ApplicationFiled: August 13, 2021Publication date: December 2, 2021Inventors: Zhiguo SHI, Hang ZHENG, Chengwei ZHOU, Jiming CHEN
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Publication number: 20210364564Abstract: Disclosed is a spatial spectrum estimation method with enhanced degree-of-freedom based on block sampling tensor construction for coprime planar array, which mainly solves the multi-dimensional information loss in signals and degree-of-freedom limitation in the existing methods and which is implemented by the following steps: constructing a coprime planar array; modeling block sampling tensors of the coprime planar array; deducing coarray statistics based on the block sampling cross-correlation tensor; obtaining block sampling coarray signals of a virtual uniform array; constructing a three-dimensional block sampling coarray tensor and its fourth-order auto-correlation statistics; constructing signal and noise subspaces based on fourth-order auto-correlation tensor decomposition; estimating a tensor spatial spectrum with enhanced degrees-of-freedom.Type: ApplicationFiled: August 6, 2021Publication date: November 25, 2021Inventors: Jiming CHEN, Hang ZHENG, Zhiguo SHI, Chengwei ZHOU
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Publication number: 20210364591Abstract: Disclosed is a high-resolution accurate two-dimensional direction-of-arrival estimation method based on coarray tensor spatial spectrum searching with coprime planar array, which solves the problem of multi-dimensional signal loss and limited spatial spectrum resolution and accuracy in existing methods. The implementation steps are: constructing a coprime planar array; tensor signal modeling for the coprime planar array; deriving coarray statistics based on coprime planar array cross-correlation tensor; constructing the equivalent signals of a virtual uniform array; deriving a spatially smoothed fourth-order auto-correlation coarray tensor; realizing signal and noise subspace classification through coarray tensor feature extraction; performing high-resolution accurate two-dimensional direction-of-arrival estimation based on coarray tensor spatial spectrum searching.Type: ApplicationFiled: August 6, 2021Publication date: November 25, 2021Inventors: Chengwei ZHOU, Hang ZHENG, Jiming CHEN, Zhiguo SHI