# US 12,009,879 B2 · Interference detection apparatus, interference detection method, and non-transitory computer-readable medium > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,009,879 B2 - Document ID: US12009879B2 - Status: Granted - Kind: B2 - Application number: 17/747,047 - Filed: 2022-05-18 - Published: 2022-12-01 - Granted: 2024-06-11 - Earliest claimed: 2021-05-28 - Assignees: NEC Corporation - Applicants: NEC Corporation - Inventors: Yoshiaki Nishikawa - Web page: https://patentgrep.com/patent/US12009879B2 ## CPC - H04B 17/345: Interference values ({signal-to-interference ratio [SIR] or carrier-to-interference ratio [CIR]} H04B17/336) - H04B 17/3913: {Predictive models, e.g. based on neural network models} - H04B 1/1027: {assessing signal quality or detecting noise/interference for the received signal} - H04B 17/391: Modelling the propagation channel - H04B: TRANSMISSION ## Abstract An example of an object of the present disclosure is to provide an interference detection apparatus, an interference detection method, and a non-transitory computer-readable medium that allow a user to determine a priority of interference to be dealt with in communication. The interference detection apparatus according to an example embodiment includes at least one memory configured to store an instruction, and at least one processor configured to execute the instruction. The processor is further configured to learn a signal state model by using a learning signal in a communication signal, acquire a detection target signal in the communication signal, detect interference in the detection target signal, and calculate a severity of interference in the detection target signal by using the detection target signal, a detection result of the interference, and the learned signal state model. ## Claims ### Claim 1 An interference detection apparatus comprising: at least one memory storing instructions; and at least one processor coupled to the memory and configured to execute the instructions to: learn a signal state model by applying a learning signal in a communication signal, acquire a detection target signal in the communication signal, detect interference in the detection target signal, and calculate a severity of interference in the detection target signal by applying the detection target signal, a detection result of the interference, and the learned signal state model. ### Claim 2 (depends on 1) The interference detection apparatus according to claim 1, wherein the at least one processor is further configured to execute the instructions to calculate the severity of interference for each of a plurality of consecutive time slots of the detection target signal, based on a state transition path of a signal state in the plurality of consecutive time slots in the learned signal state model when detecting interference in the plurality of consecutive time slots. ### Claim 3 (depends on 2) The interference detection apparatus according to claim 2, wherein the at least one processor is further configured to execute the instructions to calculate the severity of interference in the detection target signal, based on the severity of each of the plurality of consecutive time slots being calculated. ### Claim 4 (depends on 1) The interference detection apparatus according to claim 1, wherein in the signal state model, a signal state of the communication signal is either an ON state or an OFF state. ### Claim 5 (depends on 4) The interference detection apparatus according to claim 4, wherein the at least one processor is further configured to execute the instructions to set a time slot length in which the ON state continues as a parameter of a state transition probability of the signal state model, and calculate the severity of interference in the detection target signal by applying the parameter and the time slot length in which the ON state continues immediately before a time slot in which interference is detected, in the detection target signal. ### Claim 6 (depends on 4) The interference detection apparatus according to claim 4, wherein the at least one processor is further configured to execute the instructions to identify, by applying the learned signal state model and the signal state of the detection target signal immediately before and immediately after a period in which interference is detected, a state transition path with a maximum transition probability among a plurality of state transition paths of the signal state in the period, and calculate at least one of a length of time in which the signal state is in the ON state, a number of time slots in which the signal state is in the ON state, or a number of times in which the signal state is in the ON state continuously, as the severity of interference, in at least one of an entire period of the identified state transition path or the period in which interference is detected. ### Claim 7 (depends on 1) The interference detection apparatus according to claim 1, wherein the learning signal and the detection target signal are radio signals in a same frequency band or adjacent frequency bands. ### Claim 8 An interference detection method performed by a processor comprising: learning a signal state model by applying a learning signal in a communication signal; acquiring a detection target signal in the communication signal; detecting interference in the detection target signal; and calculating a severity of interference in the detection target signal by applying the detection target signal, a detection result of the interference, and the learned signal state model. ### Claim 9 (depends on 8) The interference detection method according to claim 8, further comprising calculating the severity of interference for each of a plurality of consecutive time slots of the detection target signal, based on a state transition path of a signal state in the plurality of consecutive time slots in the learned signal state model when detecting interference in the plurality of consecutive time slots. ### Claim 10 (depends on 9) The interference detection method according to claim 9, further comprising calculating the severity of interference in the detection target signal, based on the severity of each of the plurality of consecutive time slots being calculated. ### Claim 11 (depends on 8) The interference detection method according to claim 8, wherein in the signal state model, a signal state of the communication signal is either an ON state or an OFF state. ### Claim 12 (depends on 11) The interference detection method according to claim 11, further comprising: setting a time slot length in which the ON state continues as a parameter of a state transition probability of the signal state model; and calculating the severity of interference in the detection target signal by applying the parameter and the time slot length in which the ON state continues immediately before a time slot in which interference is detected, in the detection target signal. ### Claim 13 (depends on 11) The interference detection method according to claim 11, further comprising: identifying, by applying the learned signal state model and the signal state of the detection target signal immediately before and immediately after a period in which interference is detected, a state transition path with a maximum transition probability among a plurality of state transition paths of the signal state in the period, and calculating at least one of a length of time in which the signal state is in the ON state, a number of time slots in which the signal state is in the ON state, or a number of times in which the signal state is in the ON state continuously, as the severity of interference, in at least one of an entire period of the identified state transition path or the period in which interference is detected. ### Claim 14 (depends on 8) The interference detection method according to claim 8, wherein the learning signal and the detection target signal are radio signals in a same frequency band or adjacent frequency bands. ### Claim 15 A non-transitory computer-readable medium storing executable instructions that, when executed by a processor, cause the processor to: learn a signal state model by applying a learning signal in a communication signal; acquire a detection target signal in the communication signal; detect interference in the detection target signal; and calculate a severity of interference in the detection target signal by applying the detection target signal, a detection result of the interference, and the learned signal state model.