# US 12,192,034 B2 · System and method for distance measurement using UWB radar > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,192,034 B2 - Document ID: US12192034B2 - Status: Granted - Kind: B2 - Application number: 18/160,873 - Filed: 2023-01-27 - Published: 2023-08-03 - Granted: 2025-01-07 - Earliest claimed: 2022-01-31 - Assignees: Samsung Electronics Co., Ltd. - Applicants: Samsung Electronics Co., Ltd. - Inventors: Hoang Viet Nguyen; Yuming Zhu; Jiho Shin; Qiang Xie - Web page: https://patentgrep.com/patent/US12192034B2 ## CPC - H04L 25/0212: {of impulse response} - G01S 7/006: {using shared front-end circuitry, e.g. antennas (G01S13/765, G01S13/825 take precedence)} - G01S 7/2883: {using FFT processing} - G01S 13/0209: {Systems with very large relative bandwidth, i.e. larger than 10 %, e.g. baseband, pulse, carrier-free, ultrawideband} - G01S 13/103: {particularities of the measurement of the distance (G01S13/12, G01S13/14, G01S13/16, G01S13/18 and G01S13/20 take precedence)} - G01S 13/589: {measuring the velocity vector} - G01S 13/60: wherein the transmitter and receiver are mounted on the moving object, e.g. for determining ground speed, drift angle, ground track (G01S13/64 takes precedence) - H04W 64/00: Locating users or terminals {or network equipment} for network management purposes, e.g. mobility management - H04W 64/003: {locating network equipment} - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) - G01S: RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) ## Abstract A method includes obtaining a channel impulse response (CIR) based on multiple ultrawide band (UWB) measurements between a mobile device and a target object. The method also includes estimating a first distance between the mobile device and the target object based on an energy of the CIR. The method also includes estimating a second distance between the mobile device and the target object based on a phase of the CIR. The method also includes obtaining an estimated distance between the mobile device and the target object based on at least one of the first distance and the second distance. ## Claims ### Claim 1 A method comprising: obtaining a channel impulse response (CIR) based on multiple ultrawide band (UWB) measurements between a mobile device and a target object; calculating a range profile and frequency profile based on the CIR; in response to determining that a dominant peak in the frequency profile is above a first predetermined threshold, estimating a first distance between the mobile device and the target object based on the range profile; estimating a second distance between the mobile device and the target object based on a phase of the CIR; and obtaining an estimated distance between the mobile device and the target object based on at least one of the first distance and the second distance. ### Claim 2 (depends on 1) The method of claim 1, wherein obtaining the estimated distance between the mobile device and the target object comprises: calculating the estimated distance as an average of the first distance and the second distance. ### Claim 3 (depends on 1) The method of claim 1, wherein obtaining the estimated distance between the mobile device and the target object comprises: in response to determining that a velocity of the mobile device is greater than a second predetermined threshold, setting the estimated distance to be equal to the first distance; and in response to determining that the velocity of the mobile device is less than or equal to the second predetermined threshold, setting the estimated distance to be equal to the second distance. ### Claim 4 (depends on 1) The method of claim 1, wherein estimating the second distance comprises: obtaining a clutter-removed CIR from the CIR using a high-pass filter; obtaining a phase difference using range bins in the clutter-removed CIR that are closest to a previously estimated distance value; obtaining a relative distance change based on the phase difference; and estimating the second distance based on the relative distance change and the previously estimated distance value. ### Claim 5 (depends on 1) The method of claim 1, further comprising: estimating a first figure of merit (FOM) associated with the first distance, the first FOM indicating a reliability of the estimation of the first distance; estimating a second FOM associated with the second distance, the second FOM indicating a reliability of the estimation of the second distance; and obtaining a reliability of the estimated distance between the mobile device and the target object based on at least one of the first FOM and the second FOM. ### Claim 6 (depends on 5) The method of claim 5, wherein: estimating the first FOM comprises calculating the first FOM based on a signal-to-noise ratio (SNR) of a signal reflected from the target object; and estimating the second FOM comprises calculating the second FOM using an exponential decay function. ### Claim 7 A device comprising: a transceiver; and a processor operably connected to the transceiver, the processor configured to: obtain a channel impulse response (CIR) based on multiple ultrawide band (UWB) measurements between a mobile device and a target object; calculate a range profile and frequency profile based on the CIR; in response to determining that a dominant peak in the frequency profile is above a first predetermined threshold, estimate a first distance between the mobile device and the target object based on the range profile; estimate a second distance between the mobile device and the target object based on a phase of the CIR; and obtain an estimated distance between the mobile device and the target object based on at least one of the first distance and the second distance. ### Claim 8 (depends on 7) The device of claim 7, wherein to obtain the estimated distance between the mobile device and the target object, the processor is configured to: calculate the estimated distance as an average of the first distance and the second distance. ### Claim 9 (depends on 7) The device of claim 7, wherein to obtain the estimated distance between the mobile device and the target object, the processor is configured to: in response to determining that a velocity of the mobile device is greater than a second predetermined threshold, set the estimated distance to be equal to the first distance; and in response to determining that the velocity of the mobile device is less than or equal to the second predetermined threshold, set the estimated distance to be equal to the second distance. ### Claim 10 (depends on 7) The device of claim 7, wherein to estimate the second distance, the processor is configured to: obtain a clutter-removed CIR from the CIR using a high-pass filter; obtain a phase difference using range bins in the clutter-removed CIR that are closest to a previously estimated distance value; obtain a relative distance change based on the phase difference; and estimate the second distance based on the relative distance change and the previously estimated distance value. ### Claim 11 (depends on 7) The device of claim 7, wherein the processor is further configured to: estimate a first figure of merit (FOM) associated with the first distance, the first FOM indicating a reliability of the estimation of the first distance; estimate a second FOM associated with the second distance, the second FOM indicating a reliability of the estimation of the second distance; and obtain a reliability of the estimated distance between the mobile device and the target object based on at least one of the first FOM and the second FOM. ### Claim 12 (depends on 11) The device of claim 11, wherein: to estimate the first FOM, the processor is configured to calculate the first FOM based on a signal-to-noise ratio (SNR) of a signal reflected from the target object; and to estimate the second FOM, the processor is configured to calculate the second FOM using an exponential decay function. ### Claim 13 A non-transitory computer readable medium comprising program code that, when executed by a processor of a device, causes the device to: obtain a channel impulse response (CIR) based on multiple ultrawide band (UWB) measurements between a mobile device and a target object; calculate a range profile and frequency profile based on the CIR; in response to determining that a dominant peak in the frequency profile is above a first predetermined threshold, estimate a first distance between the mobile device and the target object based on the range profile; estimate a second distance between the mobile device and the target object based on a phase of the CIR; and obtain an estimated distance between the mobile device and the target object based on at least one of the first distance and the second distance. ### Claim 14 (depends on 13) The non-transitory computer readable medium of claim 13, wherein the program code that causes the device to obtain the estimated distance between the mobile device and the target object comprises program code, that when executed by the processor, causes the device to: calculate the estimated distance as an average of the first distance and the second distance. ### Claim 15 (depends on 13) The non-transitory computer readable medium of claim 13, wherein the program code that causes the device to obtain the estimated distance between the mobile device and the target object comprises program code, that when executed by the processor, causes the device to: in response to determining that a velocity of the mobile device is greater than a second predetermined threshold, set the estimated distance to be equal to the first distance; and in response to determining that the velocity of the mobile device is less than or equal to the second predetermined threshold, set the estimated distance to be equal to the second distance. ### Claim 16 (depends on 13) The non-transitory computer readable medium of claim 13, wherein the program code that causes the device to estimate the second distance comprises program code, that when executed by the processor, causes the device to: obtain a clutter-removed CIR from the CIR using a high-pass filter; obtain a phase difference using range bins in the clutter-removed CIR that are closest to a previously estimated distance value; obtain a relative distance change based on the phase difference; and estimate the second distance based on the relative distance change and the previously estimated distance value. ### Claim 17 (depends on 13) The non-transitory computer readable medium of claim 13, wherein the program code, when executed by the processor, further causes the device to: estimate a first figure of merit (FOM) associated with the first distance, the first FOM indicating a reliability of the estimation of the first distance; estimate a second FOM associated with the second distance, the second FOM indicating a reliability of the estimation of the second distance; and obtain a reliability of the estimated distance between the mobile device and the target object based on at least one of the first FOM and the second FOM. ### Claim 18 (depends on 1) The method of claim 1, wherein the range profile is calculated by taking an average of energy of multiple frequency bins for each range bin of a range Doppler map. ### Claim 19 (depends on 7) The device of claim 7, wherein the processor is configured to calculate the range profile by taking an average of energy of multiple frequency bins for each range bin of a range Doppler map. ### Claim 20 (depends on 13) The non-transitory computer readable medium of claim 13, wherein the program code causes the device to calculate the range profile by taking an average of energy of multiple frequency bins for each range bin of a range Doppler map.