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公开(公告)号:US20210174122A1
公开(公告)日:2021-06-10
申请号:US17125360
申请日:2020-12-17
Applicant: Intel Corporation
Inventor: Leobardo Campos Macias , German Fabila Garcia , David Gomez Gutierrez , Sundar Krishnamurthy , Le Liang , Lu Lu , Paulino De Jesus Mendoza Valencia , Sami Mumtaz , Julio Zamora Esquivel , Jose Rodrigo Camacho Perez
Abstract: Techniques are disclosed for the acceleration of the operation of a probabilistic sampling device for applications including homography estimation and wireless signal detection, which may include reducing the number of iterations associated with probabilistic sampling. Techniques are also disclosed for corner feature extraction from event-based cameras, which may be implemented via an Advanced Driver Assistance System (ADAS) or Autonomous Driving (AD) system.
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公开(公告)号:US20240137115A1
公开(公告)日:2024-04-25
申请号:US17972965
申请日:2022-10-24
Applicant: Intel Corporation
Inventor: Sundar Krishnamurthy , Conor O'Keeffe , Deepak Dasalukunte , Finbarr O'Regan , Abhinav Vinod
IPC: H04B7/185
CPC classification number: H04B7/1855 , H04B7/18513 , H04B7/18521 , H04B7/18543
Abstract: An apparatus can include transceiver circuitry to receive an input signal from a target apparatus. The apparatus can further include a processing circuitry to determine position information of a source object and a target object. Based on the position information, the processing circuitry can calculate a relative velocity and determine a Doppler shift or carrier frequency offset in the input signal based on the relative velocity. The processing circuitry can adjust a local oscillator frequency based on a Doppler measured using the position information in an initial link acquisition phase. The processing circuitry can track the Doppler continuously over a range of tens of gigahertz accounting for Doppler phase ambiguities, and correct for a tracked Doppler shift by partially adjusting a local oscillator frequency and by correcting a residual Doppler shift digitally.
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公开(公告)号:US12126440B2
公开(公告)日:2024-10-22
申请号:US17134255
申请日:2020-12-25
Applicant: Intel Corporation
Inventor: Sundar Krishnamurthy , Lu Lu , Niranjan Mylarappa Gowda , Le Liang , Richard Dorrance , Deepak Dasalukunte , Arvind Merwaday
CPC classification number: H04L1/0053 , H04L1/0054 , H04L25/0256 , H04L27/38
Abstract: Bayesian Inference based communication receiver employs Markov-Chain Monte-Carlo (MCMC) sampling for performing several of the main receiver functionalities. The channel estimator estimates the multipath channel coefficients corresponding to a signal received with fading. The symbol demodulator demodulates the received signal according to a QAM constellation, so as to generate a demodulated signal, and estimate the transmitted symbols. The decoder reliably decodes the demodulated signals to generate an output bit sequence, factoring in redundancy induced at a certain code rate. A universal sampler may be configured to use MCMC sampling for generating estimates of channel coefficients, transmitted symbols or decoder bits, for aforementioned functionalities, respectively. The samples may then be used in one or more of the receiver tasks: channel estimation, signal demodulation, and decoding, which leads to a more scalable, reusable, power/area efficient receiver.
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公开(公告)号:US20240235665A9
公开(公告)日:2024-07-11
申请号:US17972965
申请日:2022-10-25
Applicant: Intel Corporation
Inventor: Sundar Krishnamurthy , Conor O'Keeffe , Deepak Dasalukunte , Finbarr O'Regan , Abhinav Vinod
IPC: H04B7/185
CPC classification number: H04B7/1855 , H04B7/18513 , H04B7/18521 , H04B7/18543
Abstract: An apparatus can include transceiver circuitry to receive an input signal from a target apparatus. The apparatus can further include a processing circuitry to determine position information of a source object and a target object. Based on the position information, the processing circuitry can calculate a relative velocity and determine a Doppler shift or carrier frequency offset in the input signal based on the relative velocity. The processing circuitry can adjust a local oscillator frequency based on a Doppler measured using the position information in an initial link acquisition phase. The processing circuitry can track the Doppler continuously over a range of tens of gigahertz accounting for Doppler phase ambiguities, and correct for a tracked Doppler shift by partially adjusting a local oscillator frequency and by correcting a residual Doppler shift digitally.
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公开(公告)号:US20240111346A1
公开(公告)日:2024-04-04
申请号:US17957052
申请日:2022-09-30
Applicant: Intel Corporation
Inventor: Deepak Dasalukunte , Amy Whitcombe , Finbarr O'Regan , Conor O'Keeffe , Sundar Krishnamurthy
IPC: G06F1/26
CPC classification number: G06F1/26
Abstract: An apparatus can include at least two circuit portions having separate power sequencer circuitry. The apparatus can further include processing circuitry configured to control at least one portion of the at least two circuit portions to operate at an initial low power level and subsequent higher power levels to full operation.
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公开(公告)号:US20220209891A1
公开(公告)日:2022-06-30
申请号:US17134255
申请日:2020-12-25
Applicant: Intel Corporation
Inventor: Sundar Krishnamurthy , Lu Lu , Niranjan Mylarapa Gowda , Le Liang , Richard Dorrance , Deepak Dasalukunte , Arvind Merwaday
Abstract: Bayesian Inference based communication receiver employs Markov-Chain Monte-Carlo (MCMC) sampling for performing several of the main receiver functionalities. The channel estimator estimates the multipath channel coefficients corresponding to a signal received with fading. The symbol demodulator demodulates the received signal according to a QAM constellation, so as to generate a demodulated signal, and estimate the transmitted symbols. The decoder reliably decodes the demodulated signals to generate an output bit sequence, factoring in redundancy induced at a certain code rate. A universal sampler may be configured to use MCMC sampling for generating estimates of channel coefficients, transmitted symbols or decoder bits, for aforementioned functionalities, respectively. The samples may then be used in one or more of the receiver tasks: channel estimation, signal demodulation, and decoding, which leads to a more scalable, reusable, power/area efficient receiver.
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