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公开(公告)号：US12025690B2
公开(公告)日：2024-07-02
申请号：US18191402
申请日：2023-03-28
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Michael Livshitz , Mingjian Yan
CPC classification number: G01S13/584 , G01S17/58
Abstract: Methods, devices and instruction-carrying storage operate to track a target object over time and space. The tracking techniques involve obtaining a point cloud of reflection points at time n, a target from time n−1, state information including previous location information for the target and previous group distribution for previous reflection points associated with the target at time n−1; predicting a location of the target at time n based on the state information; determining a gate around the target and which of the multiple reflection points are within the gate; determining, for each of the multiple reflection points determined to be within the gate, a likelihood that the corresponding reflection point is associated with the target; determining current group distribution for the reflection points determined to likely be associated with the target; and outputting the determined current group distribution and current location information of the target.
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公开(公告)号：US11644560B2
公开(公告)日：2023-05-09
申请号：US16911042
申请日：2020-06-24
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Michael Livshitz , Mingjian Yan
CPC classification number: G01S13/584 , G01S17/58
Abstract: Techniques for target tracking that include obtaining state information for a first target object, the state information including previous location information for the first target object and a previous group distribution for points associated with the first target object at a previous point in time, predicting a location for the first target object based on the obtained state information, receiving a first set of points, identifying a first distribution of points, from the first set of points based on the predicted location to associate one or more first points of the first distribution of points with the target object, determining a current group distribution for the points associated with the first target object, and outputting a current location information and a current group distribution point.
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Patent Agency Ranking
3.发明申请WIRELESS NETWORK SIGNAL TO INTERFERENCE PLUS NOISE RATIO ESTIMATION FOR A RANDOM ACCESS CHANNEL 有权无线网络信号对干扰加噪声比率估计的随机访问通道公开(公告)号：US20150023329A1
公开(公告)日：2015-01-22
申请号：US14335546
申请日：2014-07-18
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Jing Jiang , Mingjian Yan , Aleksandar Purkovic
CPC classification number: H04W74/008 , H04B17/345 , H04J11/0036 , H04L27/2613 , H04L27/2675 , H04W28/18 , H04W52/241 , H04W52/243 , H04W52/325 , H04W52/50
Abstract: A wireless device includes a preamble detector configured to identify a plurality of preambles transmitted via a random access channel of a wireless network. The preamble detector includes a noise floor estimator. The noise floor estimator is configured to: estimate, for a given preamble root sequence identified by the preamble detector, a noise floor value as mean energy of received signal samples, excluding detected preamble samples on the give preamble root sequence, below a noise floor threshold assigned to the given preamble root sequence. The noise floor estimator is configured to compute the noise floor threshold as a product of: average energy of the received signal samples less total signal energy contained in each cyclic prefix window in which a preamble is detected using the given preamble root sequence; and a predetermined normalized relative noise floor threshold based on a target false preamble detection rate.
Abstract translation: 无线设备包括：前导码检测器，被配置为识别经由无线网络的随机接入信道发送的多个前同步码。 前导码检测器包括噪声基底估计器。 噪声基底估计器被配置为：对于由前导码检测器识别的给定前导码根序列，估计作为接收信号样本的平均能量的噪声本底值，不包括在给定前导根序列上的检测到的前导码样本，低于噪声基底阈值 分配给给定的前导根序列。 噪声基底估计器被配置为计算噪声基底阈值作为以下乘积的乘积：接收信号样本的平均能量减去包含在每个循环前缀窗口中的总信号能量，其中使用给定的前导根序列检测前置码; 以及基于目标假前同步码检测率的预定的归一化相对噪声基底阈值。
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4.发明授权公开(公告)号：US09756657B2
公开(公告)日：2017-09-05
申请号：US14335546
申请日：2014-07-18
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Jing Jiang , Mingjian Yan , Aleksandar Purkovic
CPC classification number: H04W74/008 , H04B17/345 , H04J11/0036 , H04L27/2613 , H04L27/2675 , H04W28/18 , H04W52/241 , H04W52/243 , H04W52/325 , H04W52/50
Abstract: A wireless device includes a preamble detector configured to identify a plurality of preambles transmitted via a random access channel of a wireless network. The preamble detector includes a noise floor estimator. The noise floor estimator is configured to: estimate, for a given preamble root sequence identified by the preamble detector, a noise floor value as mean energy of received signal samples, excluding detected preamble samples on the give preamble root sequence, below a noise floor threshold assigned to the given preamble root sequence. The noise floor estimator is configured to compute the noise floor threshold as a product of: average energy of the received signal samples less total signal energy contained in each cyclic prefix window in which a preamble is detected using the given preamble root sequence; and a predetermined normalized relative noise floor threshold based on a target false preamble detection rate.
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公开(公告)号：US20150215968A1
公开(公告)日：2015-07-30
申请号：US14591588
申请日：2015-01-07
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Jing JIANG , Mingjian Yan , Aleksandar Purkovic , Constantin Bajenaru
CPC classification number: H04W74/0833 , H04W74/004
Abstract: A wireless device includes a preamble detector configured to identify preambles transmitted via a random access channel of a wireless network. The preamble detector includes preamble false alarm logic. The preamble false alarm logic is configured to set a preamble false alarm detection window, and compare, to one another, preambles identified in the false alarm detection window. The preamble false alarm logic is configured to identify, based on the comparison, a largest of the preambles in the false alarm detection window, and reject all but the identified largest of the preambles as false alarm detections.
Abstract translation: 无线设备包括：前置码检测器，被配置为识别经由无线网络的随机接入信道发送的前同步码。 前导码检测器包括前导码错误警报逻辑。 前导码错误警报逻辑被配置为设置前导码错误警报检测窗口，并且将彼此比较在虚警报检测窗口中识别的前导码。 前导码伪报警逻辑被配置为基于比较来识别假警报检测窗口中的最大的前导码，并且将除了所识别的最大的前导码之外的所有的所有前导码都除外作为虚假警报检测。
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公开(公告)号：US20230236306A1
公开(公告)日：2023-07-27
申请号：US18191402
申请日：2023-03-28
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Michael Livshitz , Mingjian Yan
CPC classification number: G01S13/584 , G01S17/58
Abstract: Methods, devices and instruction-carrying storage operate to track a target object over time and space. The tracking techniques involve obtaining a point cloud of reflection points at time n, a target from time n−1, state information including previous location information for the target and previous group distribution for previous reflection points associated with the target at time n−1; predicting a location of the target at time n based on the state information; determining a gate around the target and which of the multiple reflection points are within the gate; determining, for each of the multiple reflection points determined to be within the gate, a likelihood that the corresponding reflection point is associated with the target; determining current group distribution for the reflection points determined to likely be associated with the target; and outputting the determined current group distribution and current location information of the target.
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公开(公告)号：US09615386B2
公开(公告)日：2017-04-04
申请号：US14591588
申请日：2015-01-07
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Jing Jiang , Mingjian Yan , Aleksandar Purkovic , Constantin Bajenaru
CPC classification number: H04W74/0833 , H04W74/004
Abstract: A wireless device includes a preamble detector configured to identify preambles transmitted via a random access channel of a wireless network. The preamble detector includes preamble false alarm logic. The preamble false alarm logic is configured to set a preamble false alarm detection window, and compare, to one another, preambles identified in the false alarm detection window. The preamble false alarm logic is configured to identify, based on the comparison, a largest of the preambles in the false alarm detection window, and reject all but the identified largest of the preambles as false alarm detections.
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