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公开(公告)号:US20230071722A1
公开(公告)日:2023-03-09
申请号:US17899126
申请日:2022-08-30
Applicant: Seagate Technology LLC
Inventor: Daniel Joseph Klemme , Walter R. Eppler
IPC: G01S7/4913 , G01S17/32 , G01S17/93
Abstract: Method and apparatus for generating and processing pulses in a light detection and ranging (LiDAR) system. In some embodiments, an emitter outputs phase modulated continuous wave (PMCW) light sequences encoded with a selected encoding scheme such as a pseudo-random bit sequence (PRBS). An analog processing circuit processes reflected light sequences from a target illuminated by the PMCW light sequences by performing analog extraction of a doppler component and analog encoding correlation prior to digitalization of the received signal. The analog processing circuit can include a plurality of demodulation stages each multiplying the input signals by positive and negative magnitudes of a scalar value at times corresponding to signal transitions of different associated doppler clock frequencies. A threshold circuit applies suitable thresholding, after which the signals can be digitized by an analog-to-digital converter (ADC) for further processing in the digital domain to obtain range information associated with the detected target.
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公开(公告)号:US20230062298A1
公开(公告)日:2023-03-02
申请号:US17823490
申请日:2022-08-30
Applicant: Seagate Technology LLC
Inventor: Adam R. BUSH , Kevin A. GOMEZ , Eric James DAHLBERG
IPC: G01S7/487 , G01S7/481 , G01S7/4861 , G01S7/486
Abstract: Interference mitigation for a LiDAR system includes identifying a presence or absence of interference from a non-co-located light source in a sample of incident light received by a detector in the LiDAR system. In the absence of interference, a nominal set of reference values is used for one or more spacio-temporal scanning profile trajectory parameters. Scanner components of the LiDAR system are controlled using the nominal set of reference values. In the presence of interference, the nominal set of reference values is augmented to modify the spacio-temporal scanning profile trajectory parameters. Scanner components of the LiDAR system are controlled using the augmented set of reference values to avoid detection of and interference by the non-co-located light source.
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83.
公开(公告)号:US11595058B1
公开(公告)日:2023-02-28
申请号:US17733724
申请日:2022-04-29
Applicant: Seagate Technology LLC
Inventor: Naveen Kumar , Shuhei Tanakamaru , Erich Franz Haratsch
Abstract: Hard errors are determined for an unsuccessful decoding of codeword bits read from NAND memory cells via a read channel and input to a low-density parity check (LDPC) decoder. A bit error rate (BER) for the hard errors is estimated and BER for the read channel is estimated. Hard error regions are found using a single level cell (SLC) reading of the NAND memory cells. A log likelihood ratio (LLR) mapping of the codeword bits input to the LDPC decoder is changed based on the hard error regions, the hard error BER, and/or the read channel BER.
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公开(公告)号:US11593236B2
公开(公告)日:2023-02-28
申请号:US17736351
申请日:2022-05-04
Applicant: Seagate Technology LLC
Inventor: Adithya Uligere Narasimhamurthy , Ritvik Viswanatha , Michael Barrell
IPC: G06F11/20 , G06F12/0806
Abstract: Systems and processes are disclosed to preserve data integrity during a storage controller failure. In some examples, a storage controller of an active-active controller configuration can back-up data and corresponding cache elements to allow a surviving controller to construct a correct state of a failed controller's write cache. To accomplish this, the systems and processes can implement a relative time stamp for the cache elements that allow the backed-up data to be merged on a block-by-block basis.
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公开(公告)号:US11593190B1
公开(公告)日:2023-02-28
申请号:US15383127
申请日:2016-12-19
Applicant: Seagate Technology LLC
Inventor: Xiong Liu , WeiQing Zhou , Quan Li , WenXiang Xie
IPC: G06F11/07 , G11B20/12 , G11B20/18 , G06F12/0871 , G06F11/14
Abstract: Systems and methods are disclosed for detecting shingled overwrite errors. When a read error is encountered when reading from shingled recording tracks, a processor may determine whether the read error is an error caused by shingled overwriting. The processor may determine whether the read error is caused by shingled overwriting by determining read signal quality of one or more sectors preceding the read error, such as based on a bit error count or bit error ratio (BER), and comparing the read signal quality to a threshold value. The processor may determine that the read error is caused by shingled overwriting when the read signal quality value is lower than the threshold.
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公开(公告)号:US11588302B2
公开(公告)日:2023-02-21
申请号:US16449302
申请日:2019-06-21
Applicant: Seagate Technology LLC
Inventor: Mark A. Gubbins , Marcus B. Mooney , Aidan D. Goggin , Paula F. McElhinney , Debra A. McNeill , Fadi El Hallak , Brendan Lafferty
IPC: H04Q11/00 , H01S5/02325 , H01S5/50 , H01S5/024 , H01S5/30
Abstract: Exemplary methods and apparatus may provide optical gates and optical switches using such optical gates. Each optical gate may include a semiconductor optical amplifier that is placed in a substrate. The semiconductor optical amplifier may be coupled to input and output couplers to receive and selectively output optical signals into and out of the substrate.
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公开(公告)号:US20230041735A1
公开(公告)日:2023-02-09
申请号:US17898936
申请日:2022-08-30
Applicant: Seagate Technology LLC
Inventor: Karim Tatah , Mourad Benakli , James Gary Wessel
IPC: G11B7/1263 , H01S5/068 , H01S5/06 , H01S5/026 , H01S5/065 , G11B5/02 , G11B5/40 , G11B5/455 , G11B5/09
Abstract: A method and apparatus provide for determining a temperature at a junction of a laser diode when the laser diode is operated in a lasing state that facilitates heat-assisted magnetic recording, comparing the junction temperature and an injection current supplied during the lasing state to stored combinations of junction temperature and injection current, and determining a likelihood of mode hopping occurring for the laser diode during the lasing state based on the comparison to stored combinations of junction temperature and injection current.
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公开(公告)号:US20230035666A1
公开(公告)日:2023-02-02
申请号:US17391463
申请日:2021-08-02
Applicant: Seagate Technology LLC
Inventor: Anatolii Bilenko , Yuriy V. Umanets , Maksym Medvied
Abstract: A method of preparing an input vector for a neural network includes capturing a plurality of information about a storage system, including workload types, a processing graph, and read/write histograms, and creating a correlation matrix from processing times of different levels of processes in a workload of the storage system. The input vector is prepared with a workload vector representing the workload types, a behavior matrix representing the processing graph, a read/write histogram shape matrix representing the read/write histograms, and the correlation matrix.
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公开(公告)号:US20230032300A1
公开(公告)日:2023-02-02
申请号:US17387266
申请日:2021-07-28
Applicant: Seagate Technology LLC
Inventor: Brett R. Herdendorf , Riyan Alex Mendonsa , Krishnan Subramanian , Kevin Lee Van Pelt
IPC: G06F3/06 , G05B19/4155
Abstract: A data storage blade includes a plurality of data storage cartridges, with each of the plurality of data storage cartridges comprising at least one data storage medium. The data storage blade also includes shared drive electronics (SDE) external to the plurality of data storage cartridges. The SDE is configured to control data access operations on different data storage cartridges of the plurality of data storage cartridges. The data storage blade further includes a controller-override mechanism activatable to disable communication between the SDE and the plurality of data storage cartridges.
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公开(公告)号:US11561704B2
公开(公告)日:2023-01-24
申请号:US16729133
申请日:2019-12-27
Applicant: Seagate Technology LLC
Inventor: Hock S. Lim , Yuen L. K. Ho , Asif H. Khan
Abstract: Artificial intelligence (AI) anomaly monitoring in a storage system. The AI anomaly monitoring may include writing commands into a log jointly with the execution of the commands on storage media of a drive. The log includes information regarding the operation of the drive including, at least, the commands. In turn, each drive in the storage system may include an AI processor core that may access the log and apply an AI analysis to the log to monitor for an anomaly regarding the operation of the drive. As each drive in the storage system may use the AI process core to detect anomalies locally to the drive, the computational and network resources needed to employ the AI monitoring may be reduced.
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