Patents by Inventor Weiwen Zou
Weiwen Zou 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: 11940707Abstract: A high-speed and low-voltage electro-optical modulator based on a lithium niobate-silicon wafer. A silicon wafer is located above a lithium niobate wafer; a lithium niobate-silicon hybrid waveguide is formed by etching a silicon waveguide; and the power of light waves is differently distributed in the lithium niobate-silicon hybrid waveguide by changing the structure of the silicon waveguide. When higher power is distributed in the silicon waveguide, the high-speed and low-voltage electro-optical modulator is suitable for realizing a compact wave splitting function, a wave combining function and a thermo-optical modulation function; and when higher power is distributed in the lithium niobate waveguide, the high-speed and low-voltage electro-optical modulator is suitable for realizing a high-speed and low-voltage electro-optical modulation function.Type: GrantFiled: December 9, 2021Date of Patent: March 26, 2024Assignee: Shanghai Jiao Tong UniversityInventors: Weiwen Zou, Jing Wang, Shaofu Xu
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Patent number: 11874582Abstract: A monolithically integrated optical analog-to-digital conversion system based on a lithium niobate-silicon wafer, and a method for manufacturing the same, wherein a novel wafer (lithium niobate-silicon wafer) is used to implement the monolithically integrated optical analog-to-digital conversion system having multiple photonic devices, including an electro-optical modulator array, a tunable delay line array, an electronic circuit, and the like. As a result, multiple devices are manufactured on one chip, and the performance advantages and the stability of the system are guaranteed. Moreover, the present invention provides a CMOS-compatible method for manufacturing the system, so that the monolithically integrated optical analog-to-digital conversion system based on the lithium niobate-silicon wafer can be implemented on platforms of most chip manufacturers.Type: GrantFiled: February 8, 2021Date of Patent: January 16, 2024Assignee: Shanghai Jiao Tong UniversityInventors: Weiwen Zou, Shaofu Xu, Jing Wang
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Publication number: 20230378969Abstract: An optical sampling signal holding method for a photonic analog-to-digital conversion system, based on frequency response principles of sampling and holding, controls photoelectric conversion processes after photonic sampling to be equivalent to the signal holding effect in switch sampling, and converts sampled optical pulses into a special holding waveform, directly eliminating the time mismatch between back-end electronic analog-to-digital converters and optical pulses. The photoelectric conversion frequency responses in the invention do not lead to additional expenses on active devices and software, which greatly improves performances of the photonic analog-to-digital conversion system. The method is not limited by the number of channels, and can provide more reliable technical solutions for realizing a photonic analog-to-digital conversion system with high sampling rate in the future.Type: ApplicationFiled: September 8, 2022Publication date: November 23, 2023Inventors: Weiwen ZOU, Shiyu HUA, Na QIAN
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Patent number: 11526742Abstract: Method and system for intelligent decision-making photonic signal processing, where the system comprises a multi-functional input unit, an electro-optical conversion module, a signal processing module, a photoelectric conversion module, a multi-functional output unit, and an artificial intelligence chip. The invention combines the advantages of photonic high-speed, wide-band, and electronic flexibility, combined with heterogeneous photoelectron hybrid integration, packaging and other processes, along with deep learning algorithm, is an intelligent electronic information system that may simultaneously realize digital and analog signal processing.Type: GrantFiled: September 14, 2018Date of Patent: December 13, 2022Assignee: Shanghai Jiao Tong UniversityInventors: Weiwen Zou, Lei Yu, Shaofu Xu, Bowen Ma, Jianping Chen
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Publication number: 20220100048Abstract: A high-speed and low-voltage electro-optical modulator based on a lithium niobate-silicon wafer. A silicon wafer is located above a lithium niobate wafer; a lithium niobate-silicon hybrid waveguide is formed by etching a silicon waveguide; and the power of light waves is differently distributed in the lithium niobate-silicon hybrid waveguide by changing the structure of the silicon waveguide. When higher power is distributed in the silicon waveguide, the high-speed and low-voltage electro-optical modulator is suitable for realizing a compact wave splitting function, a wave combining function and a thermo-optical modulation function; and when higher power is distributed in the lithium niobate waveguide, the high-speed and low-voltage electro-optical modulator is suitable for realizing a high-speed and low-voltage electro-optical modulation function.Type: ApplicationFiled: December 9, 2021Publication date: March 31, 2022Inventors: Weiwen Zou, Jing Wang, Shaofu Xu
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Patent number: 11204535Abstract: Integration method of a large-scale silicon-based lithium niobate film electro-optic modulator array. By using the method, the difficulty of a fabrication process of a lithium niobate crystal layer is reduced, requirements on precision of bonding lithium niobate and silicon is reduced, and fabrication and bonding of the large-scale array lithium niobate crystal layer can be completed at one time, so that production efficiency of the silicon-based lithium niobate film electro-optic modulator array is greatly improved; through design and optimization of the structure of the silicon crystal layers, light can be naturally alternated and mutually transmitted in silicon waveguides and lithium niobate waveguides, and a high-performance electro-optic modulation effect of the lithium niobate film is achieved.Type: GrantFiled: November 19, 2019Date of Patent: December 21, 2021Assignee: Shanghai Jiao Tong UniversityInventors: Weiwen Zou, Shaofu Xu, Jing Wang, Jianping Chen
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Publication number: 20210255523Abstract: A monolithically integrated optical analog-to-digital conversion system based on a lithium niobate-silicon wafer, and a method for manufacturing the same, wherein a novel wafer (lithium niobate-silicon wafer) is used to implement the monolithically integrated optical analog-to-digital conversion system having multiple photonic devices, including an electro-optical modulator array, a tunable delay line array, an electronic circuit, and the like. As a result, multiple devices are manufactured on one chip, and the performance advantages and the stability of the system are guaranteed. Moreover, the present invention provides a CMOS-compatible method for manufacturing the system, so that the monolithically integrated optical analog-to-digital conversion system based on the lithium niobate-silicon wafer can be implemented on platforms of most chip manufacturers.Type: ApplicationFiled: February 8, 2021Publication date: August 19, 2021Inventors: Weiwen ZOU, Shaofu XU, Jing WANG
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Publication number: 20200363693Abstract: Integration method of a large-scale silicon-based lithium niobate film electro-optic modulator array. By using the method, the difficulty of a fabrication process of a lithium niobate crystal layer is reduced, requirements on precision of bonding lithium niobate and silicon is reduced, and fabrication and bonding of the large-scale array lithium niobate crystal layer can be completed at one time, so that production efficiency of the silicon-based lithium niobate film electro-optic modulator array is greatly improved; through design and optimization of the structure of the silicon crystal layers, light can be naturally alternated and mutually transmitted in silicon waveguides and lithium niobate waveguides, and a high-performance electro-optic modulation effect of the lithium niobate film is achieved.Type: ApplicationFiled: November 19, 2019Publication date: November 19, 2020Inventors: Weiwen Zou, Shaofu Xu, Jing Wang, Jianping Chen
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Patent number: 10812095Abstract: A device for noise suppression and distortion correction of analog-to-digital converters based on deep learning that realizes effect of correcting noise and distortion of analog to digital converters. The method is applied to electronic ADCs or photonic ADCs. It utilizes the learning ability of the deep network to perform system response learning on ADCs which need noise suppression and distortion correction, establishes a computational model in the deep network that can suppress the reconstruction of noises and distorted signals, performs noise suppression and distortion correction on the signals obtained by ADCs, and thereby improves performance of the learned ADCs. The device improves the performance of the microwave photon system with high sampling precision of microwave photon radar and optical communication system.Type: GrantFiled: September 14, 2018Date of Patent: October 20, 2020Assignee: Shanghai Jiao Tong UniversityInventors: Weiwen Zou, Shaofu Xu, Jianping Chen
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Patent number: 10649308Abstract: A coherent photon analog-to-digital conversion device comprising an optical clock oscillation source, a sampled signal source, a photon sampling gate, a photoelectric detection module, an electrical sampling module, a phase detection module, a loop filter, and signal feedback links. By adjusting the optical clock oscillating source or the sampled signal source, the invention makes the two highly coherent, thereby reducing the clock jitter and greatly improving the sampling precision. It is very important for improving the performance of microwave photon systems that require high time accuracy and high sampling accuracy, such as microwave photon radar and optical communication systems.Type: GrantFiled: July 16, 2019Date of Patent: May 12, 2020Assignee: Shanghai Jiao Tong TechnologyInventors: Weiwen Zou, Guang Yang, Lei Yu, Na Qian, Jianping Chen
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Patent number: 10651867Abstract: A high-speed and high-precision photonic analog-to-digital conversion device capable of realizing intelligent signal processing. Learning ability of deep learning technology is utilized to learn the nonlinear response and channel mismatch effect of the system and configure optimal parameters of the deep network. Deterioration of photonic analog-to-digital conversion system performance caused by nonlinear distortion and channel mismatch distortion is eliminated in real time, and performance indicators thereof are improved. By using the induction and deduction ability of deep learning technology, intelligent signal processing of the input signal is realized, and users are provided with digital signals that meet the requirements.Type: GrantFiled: September 14, 2018Date of Patent: May 12, 2020Assignee: Shanghai Jiao Tong UniversityInventors: Weiwen Zou, Shaofu Xu, Jianping Chen
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Patent number: 10605921Abstract: A full-spectrum covering ultra wideband full-photonics based radar system comprising a signal transmitter, a transceiver module, and a signal receiver. The signal transmitter comprises a mode-locked laser, a first dispersion module, a first optical coupler, a second optical coupler, a first optical filter, a second dispersion module, a second optical filter, a first adjustable time delay module, a third optical coupler, an optical amplifier, and a first photodetector; the transceiver module comprises a band selector, a first electrical amplifier array, a T/R component array, an antenna array, and a second electrical amplifier array; the signal receiver comprises a third optical filter, a second adjustable time delay module, an electro-optical modulator, a third dispersion module, a second photodetector, an analog-digital conversion module, and a signal processing module.Type: GrantFiled: December 6, 2017Date of Patent: March 31, 2020Assignee: Shanghai Jiao Tong UniversityInventors: Weiwen Zou, Hao Zhang, Siteng Zhang, Jianping Chen
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Publication number: 20190339588Abstract: A coherent photon analog-to-digital conversion device comprising an optical clock oscillation source, a sampled signal source, a photon sampling gate, a photoelectric detection module, an electrical sampling module, a phase detection module, a loop filter, and signal feedback links. By adjusting the optical clock oscillating source or the sampled signal source, the invention makes the two highly coherent, thereby reducing the clock jitter and greatly improving the sampling precision. It is very important for improving the performance of microwave photon systems that require high time accuracy and high sampling accuracy, such as microwave photon radar and optical communication systems.Type: ApplicationFiled: July 16, 2019Publication date: November 7, 2019Inventors: Weiwen ZOU, Guang YANG, Lei YU, Na QIAN, Jianping CHEN
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Publication number: 20190318236Abstract: Method and system for intelligent decision-making photonic signal processing, where the system comprises a multi-functional input unit, an electro-optical conversion module, a signal processing module, a photoelectric conversion module, a multi-functional output unit, and an artificial intelligence chip. The invention combines the advantages of photonic high-speed, wide-band, and electronic flexibility, combined with heterogeneous photoelectron hybrid integration, packaging and other processes, along with deep learning algorithm, is an intelligent electronic information system that may simultaneously realize digital and analog signal processing.Type: ApplicationFiled: September 14, 2018Publication date: October 17, 2019Inventors: Weiwen ZOU, Lei YU, Shaofu XU, Bowen MA, Jianping CHEN
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Publication number: 20190319633Abstract: A method for noise suppression and distortion correction of analog-to-digital converters based on deep learning that realizes effect of correcting noise and distortion of analog to digital converters. The method is applied to electronic ADCs or photonic ADCs. It utilizes the learning ability of the deep network to perform system response learning on ADCs which need noise suppression and distortion correction, establishes a computational model in the deep network that can suppress the reconstruction of noises and distorted signals, performs noise suppression and distortion correction on the signals obtained by ADCs, and thereby improves performance of the learned ADCs. The present invention has a very important role in improving the performance of the microwave photon system with high sampling precision of microwave photon radar and optical communication system.Type: ApplicationFiled: September 14, 2018Publication date: October 17, 2019Inventors: Weiwen ZOU, Shaofu XU, Jianping CHEN
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Publication number: 20190319634Abstract: A high-speed and high-precision photonic analog-to-digital conversion device capable of realizing intelligent signal processing. Learning ability of deep learning technology is utilized to learn the nonlinear response and channel mismatch effect of the system and configure optimal parameters of the deep network. Deterioration of photonic analog-to-digital conversion system performance caused by nonlinear distortion and channel mismatch distortion is eliminated in real time, and performance indicators thereof are improved. By using the induction and deduction ability of deep learning technology, intelligent signal processing of the input signal is realized, and users are provided with digital signals that meet the requirements.Type: ApplicationFiled: September 14, 2018Publication date: October 17, 2019Inventors: Weiwen Zou, Shaofu Xu, Jianping Chen
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Patent number: 10209135Abstract: The present invention relates to a measuring and compensating method for channel mismatch of an ultra-high speed time-wavelength interleaved optical pulse sequence, by employing a generating module of the to-be tested ultra-high speed time-wavelength interleaved optical pulse sequence, an optical spectrum measuring module, an electrical frequency measuring module, and a data analyzing and processing module. The present invention obtains mismatch information of the pulse sequence for each channel by means of measurement and analysis of the ultra-high speed time-wavelength interleaved optical pulse sequence, thus overcoming the bottleneck of inadequate sampling of time-domain observation via an oscilloscope. The channel mismatch information obtained by the present invention may act as a basis for channel mismatch compensation and correction for the ultra-high speed time-wavelength interleaved optical pulse sequence.Type: GrantFiled: October 30, 2014Date of Patent: February 19, 2019Assignee: Shanghai Jiao Tong UniversityInventors: Weiwen Zou, Guang Yang, Huajie Zhang, Jianping Chen
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Patent number: 9991662Abstract: Generator for wholly optical tunable broadband linearly chirped signal comprising a mode-locked laser, a first optical coupler, a first optical filter, a first dispersion module, a second optical filter, a second dispersion module, a tunable time delay module, a second optical coupler, an optical amplifier, and a photodetector. The generator of the present invention employs just one mode-locked laser as a light source, thus preventing instability of the generated signal resulting from independent unrelated lasers. By making use of the principle of wavelength-time mapping and by means of adjusting the center wavelength and the filter bandwidth of the first optical filter and the second optical filter, easy and flexible tuning of the center frequency and sweep bandwidth of the generated linearly chirped signal is realized. The present invention possesses a big advantage on the aspect of generating a broadband linearly chirped signal over other solutions.Type: GrantFiled: July 18, 2017Date of Patent: June 5, 2018Assignee: Shanghai Jiao Tong UniversityInventors: Weiwen Zou, Hao Zhang, Jianping Chen
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Publication number: 20180106904Abstract: A full-spectrum covering ultra wideband full-photonics based radar system comprising a signal transmitter, a transceiver module, and a signal receiver. The signal transmitter comprises a mode-locked laser, a first dispersion module, a first optical coupler, a second optical coupler, a first optical filter, a second dispersion module, a second optical filter, a first adjustable time delay module, a third optical coupler, an optical amplifier, and a first photodetector; the transceiver module comprises a band selector, a first electrical amplifier array, a T/R component array, an antenna array, and a second electrical amplifier array; the signal receiver comprises a third optical filter, a second adjustable time delay module, an electro-optical modulator, a third dispersion module, a second photodetector, an analog-digital conversion module, and a signal processing module.Type: ApplicationFiled: December 6, 2017Publication date: April 19, 2018Inventors: Weiwen Zou, Hao Zhang, Siteng Zhang, Jianping Chen
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Publication number: 20180024009Abstract: The present invention relates to a measuring and compensating method for channel mismatch of an ultra-high speed time-wavelength interleaved optical pulse sequence, by employing a generating module of the to-be tested ultra-high speed time-wavelength interleaved optical pulse sequence, an optical spectrum measuring module, an electrical frequency measuring module, and a data analyzing and processing module. The present invention obtains mismatch information of the pulse sequence for each channel by means of measurement and analysis of the ultra-high speed time-wavelength interleaved optical pulse sequence, thus overcoming the bottleneck of inadequate sampling of time-domain observation via an oscilloscope. The channel mismatch information obtained by the present invention may act as a basis for channel mismatch compensation and correction for the ultra-high speed time-wavelength interleaved optical pulse sequence.Type: ApplicationFiled: October 30, 2014Publication date: January 25, 2018Inventors: Weiwen ZOU, Guang YANG, Huajie ZHANG, Jianping CHEN