公开(公告)号：US11047950B2

公开(公告)日：2021-06-29

申请号：US16815622

申请日：2020-03-11

Applicant: Texas Instruments Incorporated

Inventor： Jasbir Singh Nayyar ,  Brian Paul Ginsburg ,  Sudipto Bose ,  Murtaza Ali

IPC: G01S7/03 ,  G01S7/35 ,  G01S13/42 ,  G01S13/931 ,  G01S13/34 ,  G01S13/87

Abstract: A cascaded radar system is provided that includes a first radar system-on-a-chip (SOC) operable to perform an initial portion of signal processing for object detection on digital beat signals generated by multiple receive channels of the radar SOC, a second radar SOC operable to perform the initial portion of signal processing for object detection on digital beat signals generated by multiple receive channels in the radar SOC, and a processing unit coupled to the first radar SOC and the second radar SOC to receive results of the initial portion of signal processing from each radar SOC, the processing unit operable to perform a remaining portion of the signal processing for object detection using these results.

公开(公告)号：US20200292687A1

公开(公告)日：2020-09-17

申请号：US16832073

申请日：2020-03-27

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Murtaza Ali ,  Dan Wang ,  Muhammad Zubair Ikram

IPC: G01S13/34 ,  G01S7/35

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.

公开(公告)号：US20200225315A1

公开(公告)日：2020-07-16

申请号：US16815622

申请日：2020-03-11

Applicant: Texas Instruments Incorporated

Inventor： Jasbir Singh Nayyar ,  Brian Paul Ginsburg ,  Sudipto Bose ,  Murtaza Ali

IPC: G01S7/03 ,  G01S7/35 ,  G01S13/42 ,  G01S13/931 ,  G01S13/34 ,  G01S13/87

Abstract: A cascaded radar system is provided that includes a first radar system-on-a-chip (SOC) operable to perform an initial portion of signal processing for object detection on digital beat signals generated by multiple receive channels of the radar SOC, a second radar SOC operable to perform the initial portion of signal processing for object detection on digital beat signals generated by multiple receive channels in the radar SOC, and a processing unit coupled to the first radar SOC and the second radar SOC to receive results of the initial portion of signal processing from each radar SOC, the processing unit operable to perform a remaining portion of the signal processing for object detection using these results.

公开(公告)号：US10481242B2

公开(公告)日：2019-11-19

申请号：US15145091

申请日：2016-05-03

Applicant: Texas Instruments Incorporated

Inventor： Muhammad Zubair Ikram ,  Murtaza Ali

IPC: G01S7/40 ,  G01S19/23 ,  G01S3/02

Abstract: This invention is present an iterative method for joint antenna array calibration and direction of arrival estimation using millimeter-wave (mm-Wave) radar. The calibration compensates for array coupling, phase, and gain errors and does not require any training data. This method is well suited for applications where multiple antenna elements are packaged in a chip and where offline calibration is either expensive or is not possible. This invention is also effective when the array coupling is a function of direction of arriving waves from the object. It is also applicable to any two-dimensional array shape. Real experiment results demonstrate the viability of the algorithm using real data collected from a four-element array.

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.

公开(公告)号：US11796628B2

公开(公告)日：2023-10-24

申请号：US17330604

申请日：2021-05-26

Applicant: Texas Instruments Incorporated

Inventor： Jasbir Singh Nayyar ,  Brian Paul Ginsburg ,  Sudipto Bose ,  Murtaza Ali

IPC: G01S7/03 ,  G01S7/35 ,  G01S13/42 ,  G01S13/931 ,  G01S13/34 ,  G01S13/87

CPC classification number: G01S7/03 ,  G01S7/352 ,  G01S13/343 ,  G01S13/42 ,  G01S13/87 ,  G01S13/878 ,  G01S13/931 ,  G01S7/356

Abstract: A cascaded radar system is provided that includes a first radar system-on-a-chip (SOC) operable to perform an initial portion of signal processing for object detection on digital beat signals generated by multiple receive channels of the radar SOC, a second radar SOC operable to perform the initial portion of signal processing for object detection on digital beat signals generated by multiple receive channels in the radar SOC, and a processing unit coupled to the first radar SOC and the second radar SOC to receive results of the initial portion of signal processing from each radar SOC, the processing unit operable to perform a remaining portion of the signal processing for object detection using these results.

公开(公告)号：US11125856B2

公开(公告)日：2021-09-21

申请号：US16201726

申请日：2018-11-27

Applicant: TEXAS INSTRUMENTS INCORPORATED

Inventor： Muhammad Zubair Ikram ,  Adeel Ahmad ,  Dan Wang ,  Murtaza Ali

IPC: G01S13/34 ,  G01S7/35 ,  G01S13/931

Abstract: An apparatus, including processing unit (PU) cores and computer readable storage devices storing machine instructions for determining a distance between a target object and a radar sensor circuit. The PU cores receive a beat signal generated by the radar sensor circuit and compensate for a phase difference between the received beat signal and a reconstruction of the received beat signal to obtain a phase compensated beat signal. The phase compensated beat signal is then filtered to remove spurious reflections by demodulating the phase compensated beat signal using an estimated frequency of the phase compensated beat signal. The PU cores then apply a low pass filter to the demodulated phase compensated beat signal, resulting in a modified beat signal. The PU cores then determine the distance between the target object and the radar sensor circuit using the modified beat signal.

公开(公告)号：US10539669B2

公开(公告)日：2020-01-21

申请号：US14877888

申请日：2015-10-07

Applicant: Texas Instruments Incorporated

Inventor： Muhammad Zubair Ikram ,  Murtaza Ali

IPC: G01S13/42

Abstract: A method for tracking objects in three dimensions in a radar system is provided that includes receiving spherical coordinates of an estimated location of each object of a plurality of detected objects, a range rate of each object, and variances for the spherical coordinates and the range rate of each object, determining whether or not each object is currently being tracked, updating a tracking vector for an object based on the object spherical coordinates, range rate, and variances when the object is currently being tracked, and initializing a tracking vector for an object when the object is not currently being tracked, wherein a tracking vector for an object is a process state vector for an extended Kalman filter designed to track an object, elements of the tracking vector including Cartesian coordinates of the object location, the object velocity in three directions, and the object acceleration in three directions.

公开(公告)号：US10514770B2

公开(公告)日：2019-12-24

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 ,  G01S7/41 ,  G01S13/34 ,  G01S13/58 ,  G06F3/03 ,  G06K9/00 ,  G06K9/62 ,  G01S7/35 ,  G06N7/00

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.

公开(公告)号：US20160334502A1

公开(公告)日：2016-11-17

申请号：US14951014

申请日：2015-11-24

Applicant: Texas Instruments Incorporated

Inventor： Murtaza Ali ,  Dan Wang ,  Muhammad Zubair Ikram

IPC: G01S7/35 ,  G01S13/34

CPC classification number: G01S13/343 ,  G01S7/352 ,  G01S2007/356

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.

Abstract translation: 在提出的低复杂度技术中，创建了分层方法。 初始的基于FFT的检测和范围估计给出了瑞利极限内的一组物体的粗略范围估计，或者由广泛变化的反射强度导致的变化的大小。 对于每组检测到的峰值，将输入解调为接近DC，滤除其他峰值（或其他对象组），并抽取信号以减小数据大小。 然后在这个有限的数据大小上执行超分辨率方法。 所得到的距离估计提供了相对于来自FFT处理的粗估计的距离。