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公开(公告)号：US20170364160A1
公开(公告)日：2017-12-21
申请号：US15624724
申请日：2017-06-16
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Gregory Jan Malysa , Murtaza Ali , Dan Wang , Lorin Paul Netsch
IPC: G06F3/01 , G06F3/0487
CPC classification number: G06F3/017 , G01S7/415 , G01S13/34 , G01S13/584 , G01S2007/356 , G06F3/01 , G06F3/03 , G06F3/0487 , G06K9/00335 , G06K9/6297 , G06N7/005
Abstract: A gesture recognition system is shown using a 77 GHz FMCW radar system. The signature of a gesturing hand is measured to construct an energy distribution in velocity space over time. A gesturing hand is fundamentally a dynamical system with unobservable “state” (i.e. the type of the gesture) which determines the sequence of associated observable velocity-energy distributions, therefore a Hidden Markov Model is used to for gesture recognition. A method for reducing the length of the feature vectors by a factor of 12 is also shown, by re-parameterizing the feature vectors in terms of a sum of Gaussians without decreasing the recognition performance.
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12.发明授权公开(公告)号：US11879968B2
公开(公告)日：2024-01-23
申请号：US17217584
申请日：2021-03-30
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Dan Wang , Sandeep Rao , Adeel Ahmad
CPC classification number: G01S13/931 , G01S7/2883 , G01S13/34 , G01S13/449 , G01S13/583 , H04B7/212
Abstract: A radar system comprises a set of transmitters and a processor coupled to the set of transmitters. The processor is configured to modulate a first portion of a chirp in a chirp frame according to a first phase. The processor is further configured to modulate a second portion of the chirp in the chirp frame according to a second phase and configured to combine the first and second portions of the chirp to produce a phase-modified chirp. The processor is further configured to instruct the set of transmitters to transmit the phase-modified chirp by applying time division multiple access (TDMA) and by directing radio frequency energy according to a target angle and a target gain.
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公开(公告)号：US20230408120A1
公开(公告)日：2023-12-21
申请号：US17876927
申请日：2022-07-29
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Dan Wang , Slobodan Jovanovic , Sandeep Rao
CPC classification number: F24F11/30 , G05B15/02 , G01S13/89 , G05B2219/2642 , F24F2120/14
Abstract: A method is provided. In some examples, the method includes receiving a first user input at processing circuitry. The method also includes determining, by the processing circuitry based on a signal from a radar sensor, movement of a user in a room after receiving the first user input. In addition, the method includes determining, by the processing circuitry, a first estimated location of a first wall in the room based on a first portion of the movement of the user. The method further includes determining, by the processing circuitry, a second estimated location of a second wall in the room based on a second portion of the movement of the user.
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公开(公告)号：US20230152439A1
公开(公告)日：2023-05-18
申请号：US17975863
申请日：2022-10-28
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Muhammet Yanik , Dan Wang , Adeel Ahmad
CPC classification number: G01S13/726 , G06T7/248 , G06T7/74 , G01S7/415 , G06T2207/10016 , G06T2207/10028
Abstract: A device is provided. In some examples, the device includes a radar sensor configured to receive reflected chirps. In addition, the device includes processing circuitry configured to determine that a first object is moving. The processing circuitry is further configured to, responsive to determining that the first object is moving, determine a first location of the first object using a single frame of the reflected chirps. The processing circuitry is also configured to determine that a second object is stationary. In addition, the processing circuitry is configured to, responsive to determining that the second object is stationary, determine a second location of the second object using a plurality of frames of the reflected chirps.
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15.发明授权公开(公告)号：US11327166B2
公开(公告)日：2022-05-10
申请号：US16832073
申请日：2020-03-27
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Murtaza Ali , Dan Wang , Muhammad Zubair Ikram
Abstract: In the proposed low complexity technique a hierarchical approach is created. An initial FFT based detection and range estimation gives a coarse range estimate of a group of objects within the Rayleigh limit or with varying sizes resulting from widely varying reflection strengths. For each group of detected peaks, demodulate the input to near DC, filter out other peaks (or other object groups) and decimate the signal to reduce the data size. Then perform super-resolution methods on this limited data size. The resulting distance estimations provide distance relative to the coarse estimation from the FFT processing.
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Patent Agency Ranking
16.发明申请公开(公告)号：US20180011170A1
公开(公告)日：2018-01-11
申请号：US15371754
申请日：2016-12-07
Applicant: Texas Instruments Incorporated
Inventor： Sandeep Rao , Karthik Subburaj , Dan Wang , Adeel Ahmad
CPC classification number: G01S7/354 , G01S13/343 , G01S13/42 , G01S13/92 , G01S2007/356
Abstract: In accordance with described examples, a method determines if a velocity of an object detected by a radar is greater than a maximum velocity by receiving on a plurality of receivers at least one frame of chirps transmitted by at least two transmitters and reflected off of the object. A velocity induced phase shift (φd) in a virtual array vector S of signals received by each receiver corresponding to a sequence of chirps (frame) transmitted by each transmitter is estimated. Phases of each element of virtual array vector S are corrected using φd to generate a corrected virtual array vector Sc. A first Fourier transform is performed on the corrected virtual array vector Sc to generate a corrected virtual array spectrum to detect a signature that indicates that the object has an absolute velocity greater than a maximum velocity.
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公开(公告)号：US09594159B2
公开(公告)日：2017-03-14
申请号：US14277033
申请日：2014-05-13
Applicant: Texas Instruments Incorporated
Inventor： Dan Wang , Murtaza Ali
IPC: G01S13/93 , G01S7/292 , G01S13/72 , G01S13/42 , G01S7/41 , G01S13/58 , G01S7/35 , G01S13/524 , G01S13/50
CPC classification number: G01S13/72 , G01S7/292 , G01S7/2922 , G01S7/2927 , G01S7/354 , G01S7/414 , G01S13/42 , G01S13/50 , G01S13/5244 , G01S13/581 , G01S13/931 , G01S2013/9332
Abstract: A set of radar data is organized as a two dimensional (2D) array with multiple lines of data. A 2D cross point analysis is performed on each set of data to detect objects in range of the radar system. A set of candidate objects is identified by performing an initial one dimensional (1D) analysis on a line of data along a first axis of the set if data to determine a candidate location of each candidate object along the first axis; however, the set of candidate objects may include false objects. The set of candidate objects is pruned by performing a cross 1D analysis of the data along a second axis of the set of data at a position corresponding to each candidate location along the first axis to select a set of most likely candidate objects from the set of candidate objects.
Abstract translation: 一组雷达数据被组织为具有多行数据的二维（2D）阵列。 对每组数据执行2D交叉点分析，以检测雷达系统范围内的对象。 通过对沿着该组的第一轴的数据线进行初始一维（1D）分析来识别一组候选对象，如果数据用于确定沿着第一轴的每个候选物体的候选位置; 然而，候选对象的集合可以包括假对象。 通过在与沿着第一轴的每个候选位置相对应的位置处沿着该组数据的第二轴执行数据的十字1D分析来修剪候选对象集合，以从该组中选择一组最可能的候选对象 候选对象。
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公开(公告)号：US20160291142A1
公开(公告)日：2016-10-06
申请号：US15089956
申请日：2016-04-04
Applicant: Texas Instruments Incorporated
Inventor： Adeel Ahmad , Dan Wang , Muhammad Zubair Ikram , Murtaza Ali
CPC classification number: G01S7/352 , G01S7/414 , G01S7/415 , G01S13/931 , G01S2007/356
Abstract: An FMCW radar is used to detect live objects by processing the matched, filtered radar return on a frame by frame basis. An FFT cross correlation coefficient is computed, followed by computing a modified geometric mean of the absolute value of the cross correlation coefficients. The modified geometric mean is then compared to a preset threshold to determine whether the object is moving or is stationary.
Abstract translation: FMCW雷达用于通过逐帧处理匹配的滤波雷达回波来检测实时物体。 计算FFT互相关系数，然后计算互相关系数绝对值的修正几何平均值。 然后将修改的几何平均值与预设阈值进行比较，以确定对象是移动还是静止。
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公开(公告)号：US20160245911A1
公开(公告)日：2016-08-25
申请号：US14277033
申请日：2014-05-13
Applicant: Texas Instruments Incorporated
Inventor： Dan Wang , Murtaza Ali
CPC classification number: G01S13/72 , G01S7/292 , G01S7/2922 , G01S7/2927 , G01S7/354 , G01S7/414 , G01S13/42 , G01S13/50 , G01S13/5244 , G01S13/581 , G01S13/931 , G01S2013/9332
Abstract: A set of radar data is organized as a two dimensional (2D) array with multiple lines of data. A 2D cross point analysis is performed on each set of data to detect objects in range of the radar system. A set of candidate objects is identified by performing an initial one dimensional (1D) analysis on a line of data along a first axis of the set if data to determine a candidate location of each candidate object along the first axis; however, the set of candidate objects may include false objects. The set of candidate objects is pruned by performing a cross 1D analysis of the data along a second axis of the set of data at a position corresponding to each candidate location along the first axis to select a set of most likely candidate objects from the set of candidate objects.
Abstract translation: 一组雷达数据被组织为具有多行数据的二维（2D）阵列。 对每组数据执行2D交叉点分析，以检测雷达系统范围内的对象。 通过对沿着该组的第一轴的数据线进行初始一维（1D）分析来识别一组候选对象，如果数据用于确定沿着第一轴的每个候选物体的候选位置; 然而，候选对象的集合可以包括假对象。 通过在与沿着第一轴的每个候选位置相对应的位置处沿着该组数据的第二轴执行数据的十字1D分析来修剪候选对象集合，以从该组中选择一组最可能的候选对象 候选对象。
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公开(公告)号：US12009843B2
公开(公告)日：2024-06-11
申请号：US17195703
申请日：2021-03-09
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Arthur John Redfern , Dan Wang
CPC classification number: H03M7/30 , G06F13/28 , G06F17/16 , G06N3/063 , H03M7/3082 , H03M7/6029 , H03M7/6064 , G06N3/045
Abstract: A matrix compression/decompression accelerator (MCA) system/method that coordinates lossless data compression (LDC) and lossless data decompression (LDD) transfers between an external data memory (EDM) and a local data memory (LDM) is disclosed. The system implements LDC using a 2D-to-1D transformation of 2D uncompressed data blocks (2DU) within LDM to generate 1D uncompressed data blocks (1DU). The 1DU is then compressed to generate a 1D compressed superblock (CSB) in LDM. This LDM CSB may then be written to EDM with a reduced number of EDM bus cycles. The system implements LDD using decompression of CSB data retrieved from EDM to generate a 1D decompressed data block (1DD) in LDM. A 1D-to-2D transformation is then applied to the LDM 1DD to generate a 2D decompressed data block (2DD) in LDM. This 2DD may then be operated on by a matrix compute engine (MCE) using a variety of function operators.
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