# US 2023/0408632 A1 · Frequency-modulated continuous-wave (fmcw) radar interference mitigation using an autoregressive moving average (arma) model > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2023/0408632 A1 - Document ID: US20230408632A1 - Status: Published application - Kind: A1 - Application number: 17/933,928 - Filed: 2022-09-21 - Published: 2023-12-21 - Earliest claimed: 2022-06-15 - Assignees: NXP USA, Inc. - Applicants: NXP USA, Inc. - Inventors: Filip Alexandru Rosu; Cristian Savlovschi; Tudor Bogatu - Web page: https://patentgrep.com/patent/US20230408632A1 ## CPC - G01S 7/0235: {Avoidance by time multiplex} - G01S 13/343: {using sawtooth modulation} - G01S 7/023: {Interference mitigation, e.g. reducing or avoiding non-intentional interference with other HF-transmitters, base station transmitters for mobile communication or other radar systems, e.g. using electro-magnetic interference [EMI] reduction techniques (auxiliary means for detecting or identifying radar signals or the like G01S7/021; means for anti-jamming G01S7/36)} - G01S 13/32: using transmission of continuous waves, whether amplitude-, frequency-, or phase-modulated, or unmodulated - G01S 13/584: {adapted for simultaneous range and velocity measurements} - 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 ## Abstract Systems and methods for mitigating interference in Frequency-Modulated Continuous-Wave (FMCW) radars using an Autoregressive Moving Average (ARMA) model are described. In an illustrative, non-limiting embodiment, a device includes a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the device to: receive a first frame captured by a radar; receive a second frame, captured after the first frame, by the radar; and reconstruct zeroed samples in the second frame with information obtained from the first frame to mitigate interference in the second frame caused by another radar. ## Claims ### Claim 1 A device, comprising: a processor; and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the device to: receive a first frame captured by a radar; receive a second frame, captured after the first frame, by the radar; and reconstruct zeroed samples in the second frame with information obtained from the first frame to mitigate interference in the second frame caused by another radar. ### Claim 2 (depends on 1) The device of claim 1, wherein each of the first and second frames comprises a plurality of chirps. ### Claim 3 (depends on 1) The device of claim 1, wherein the radar comprises a Frequency-Modulated Continuous-Wave (FMCW) radar. ### Claim 4 (depends on 1) The device of claim 1, wherein the information comprises an amplitude, a velocity, and a range associated with at least one target corresponding to a signal containing the zeroed samples. ### Claim 5 (depends on 4) The device of claim 4, wherein the program instructions, upon execution, further cause the device to select the target based, at least in part, upon a signal-to-noise ratio (SNR) metric. ### Claim 6 (depends on 4) The device of claim 4, wherein the program instructions, upon execution, further cause the device to select the target based, at least in part, upon a power spectrum of the target relative to a total power spectrum of the first frame. ### Claim 7 (depends on 4) The device of claim 4, wherein the program instructions, upon execution, further cause the device to select the target based, at least in part, upon a proximity of the target to another target in the first frame. ### Claim 8 (depends on 4) The device of claim 4, wherein the program instructions, upon execution, further cause the device to calculate coefficients of an Autoregressive Moving Average (ARMA) model configured to reconstruct the zeroed samples into reconstructed samples. ### Claim 9 (depends on 8) The device of claim 8, wherein the ARMA model is configured to implement a regeneration technique. ### Claim 10 (depends on 8) The device of claim 8, wherein an autoregressive (AR) section of the ARMA model is configured to implement an extrapolation technique. ### Claim 11 (depends on 8) The device of claim 8, wherein the reconstructed samples have a power spectral density that matches a power spectral density a non-interfered received signal. ### Claim 12 (depends on 1) The device of claim 1, wherein the program instructions, upon execution, further cause the device to: receive a third frame, captured after the second frame, by the radar; and reconstruct zeroed samples in the third frame with information obtained from the first and second frames to mitigate interference in the third frame caused by the other radar. ### Claim 13 A memory storage device having program instructions stored thereon that, upon execution by a processor of a device, cause the device to: receive a first radar frame; receive a second radar frame captured after the first radar frame; remove samples affected by interference from the second radar frame; and replace the removed samples in the second radar frame with reconstructed samples based upon amplitude, velocity, and range information of a target detected in the first radar frame to mitigate the interference. ### Claim 14 (depends on 13) The memory storage device of claim 13, wherein the program instructions, upon execution, further cause the device to calculate coefficients of an Autoregressive Moving Average (ARMA) model configured to reconstruct the removed samples into reconstructed samples. ### Claim 15 (depends on 14) The memory storage device of claim 14, wherein the reconstructed samples have a power spectral density that matches a power spectral density of the removed samples. ### Claim 16 (depends on 14) The memory storage device of claim 14, wherein the ARMA model is configured to implement a regeneration technique or an extrapolation technique. ### Claim 17 A method, comprising: receiving a current radar frame; and replacing samples removed from the radar frame with replacement samples calculated based upon information associated with a target present in a preceding radar frame to mitigate interference in the current radar frame. ### Claim 18 (depends on 17) The method of claim 17, wherein the information comprises an amplitude, a velocity, and a range associated with the target. ### Claim 19 (depends on 17) The method of claim 17, wherein replacing samples further comprises calculating coefficients of an Autoregressive Moving Average (ARMA) model. ### Claim 20 (depends on 17) The method of claim 17, wherein the replacement samples have a power spectral density that matches a power spectral density of the removed samples.