Abstract: An estimation method includes: transmitting transmission signals using M transmission antenna elements; receiving reception signals by N reception antenna elements; calculating, from the reception signals, a first matrix whose components are complex transfer functions indicating propagation characteristics between the transmission antenna elements and the reception antenna elements; estimating, using the first matrix, a position and an orientation of a living body relative to an estimation device; when the estimated position is in a first identification region and the estimated orientation is in a predetermined range from a first direction, identifying the living body based on time waveforms of the reception signals and a first training signal which is obtained in advance in the first identification region and corresponds to the living body; and adding, as an identification region for identifying the first living body identified, a new identification region based on an estimated position of the first living b

Abstract: A sensor includes: a transmission signal generator including N transmission antenna elements that respectively transmit N transmission signals to a predetermined range in which a living body is possibly present, where N is a natural number greater than or equal to 3; a receiver including M reception antenna elements that respectively receive N reception signals including one or more reflected signals, where M is a natural number greater than or equal to 3, the one or more reflected signals being one or more of the N transmission signals transmitted by the N transmission antenna elements that is reflected or scattered by the living body; circuitry; and memory. The circuitry estimates traveling of the living body, and/or the posture and/or action of the living body at the position of the living body.

Abstract: An estimation device including a processor and a memory. The processor acquires multiple reception signals received via multiple reception antennas at a predetermined sampling cycle in a predetermined period. The processor further calculates complex transfer functions and records each of the complex transfer functions in the memory as being associated with each time point at which each of the reception signals is observed. The processor also extracts, among the complex transfer functions, pairs of two complex transfer functions respectively corresponding to two time points in a predetermined interval, and calculates pieces of differential information representing a difference between a pair of two complex transfer functions included in each of the pairs of two complex transfer functions. Based on the above, the processor estimates a direction to a location of a moving body with respect to the estimation device based on each of the plurality of pieces of differential information.

Abstract: Complex transfer functions indicating characteristics of propagation between transmission antenna elements and N reception antenna elements are calculated from reception signals received by the N reception antenna elements during a predetermined period. Components affected by vital activity are extracted from the calculated complex transfer functions. A correlation matrix is calculated from changed components affected by vital activity. A steering vector for regions divided from a target region is calculated. A living-body signal intensity vector is estimated by performing compressed sensing for an unknown value that is the living-body signal intensity vector using a correlation matrix vector and an extended steering vector.

Abstract: There is provided an estimation device that estimates a living body orientation.

Abstract: A sensor includes: a transmitting antenna with N transmitting antenna elements transmitting transmission signals; a receiving antenna with M receiving antenna elements, each receiving N received signals including a reflection signal generated by the living body reflecting part of the N transmission signals; a circuit; and a memory. The circuit extracts a second matrix corresponding to a specified frequency range from an N×M first matrix calculated from each received signal and indicating a propagation property between each transmitting antenna element and each receiving antenna element, estimates the position where the living body is present using the second matrix, calculates a radar cross-section (RCS) value of the living body based on the estimated position and the positions of the transmission and receiving antennas, and estimates the motion of the living body using the calculated RCS value and information indicating correspondence between RCS values and motions of the living body.

Abstract: A sensor includes circuitry and a memory, wherein the circuitry acquires an N×M first matrix having complex-number transfer function components representing propagation characteristics between a transmit antenna element and a receive antenna element, from N receive signals received by each of M receive antenna elements for a predetermined period. The circuitry extracts a second matrix, corresponding to a predetermined frequency range from the first matrix, representing components influenced by a vital sign, and estimates a position of the organism with respect to the sensor by using the second matrix. The circuitry also calculates a first distance, indicating a distance between the organism and the transmit antenna, and a second distance, indicating a distance between the organism and the receive antenna. The circuitry further calculates a radar cross-section value with respect to the organism, and estimates a posture of the organism.

Abstract: An identification device includes: M transmission antenna elements each of which transmits a first transmission signal to a predetermined area including a first living body; N receivers disposed surrounding the predetermined area, and each including a reception antenna element and receiving, using the reception antenna element, a first reception signal including a reflection signal obtained as a result of the first transmission signal being reflected by the first living body, during a predetermined period; a memory storing teacher signals which are M×N second reception signals obtained about a second living body; and a circuit which calculates a plurality of correlation coefficients from the teacher signals and M×N first reception signals obtained as a result of each of the N receivers receiving the first reception signal, performs biometric authentication of the first living body, and identifies the first living body and the second living body as identical.

Abstract: An estimation device including a processor and a memory. The processor acquires multiple reception signals received via multiple reception antennas at a predetermined sampling cycle in a predetermined period. The processor further calculates complex transfer functions and records each of the complex transfer functions in the memory as being associated with each time point at which each of the reception signals is observed. The processor also extracts, among the complex transfer functions, pairs of two complex transfer functions respectively corresponding to two time points in a predetermined interval, and calculates pieces of differential information representing a difference between a pair of two complex transfer functions included in each of the pairs of two complex transfer functions. Based on the above, the processor estimates a direction to a location of a moving body with respect to the estimation device based on each of the plurality of pieces of differential information.

Abstract: Complex transfer functions indicating characteristics of propagation between transmission antenna elements and N reception antenna elements are calculated from reception signals received by the N reception antenna elements during a predetermined period. Components affected by vital activity are extracted from the calculated complex transfer functions. A correlation matrix is calculated from changed components affected by vital activity. A steering vector for regions divided from a target region is calculated. A living-body signal intensity vector is estimated by performing compressed sensing for an unknown value that is the living-body signal intensity vector using a correlation matrix vector and an extended steering vector.

Abstract: An estimation method includes: transmitting transmission signals using M transmission antenna elements; receiving reception signals by N reception antenna elements; calculating, from the reception signals, a first matrix whose components are complex transfer functions indicating propagation characteristics between the transmission antenna elements and the reception antenna elements; estimating, using the first matrix, a position and an orientation of a living body relative to an estimation device; when the estimated position is in a first identification region and the estimated orientation is in a predetermined range from a first direction, identifying the living body based on time waveforms of the reception signals and a first training signal which is obtained in advance in the first identification region and corresponds to the living body; and adding, as an identification region for identifying the first living body identified, a new identification region based on an estimated position of the first living b

Abstract: A positioning sensor includes a transmission antenna transmitting a transmission signal, a plurality of reception antennae, each receiving a reception signals, a receiver observing the each of the plurality of reception signals in a predetermined period, a processor, and a memory, in which the processor calculates a plurality of complex transfer functions based on the each of the plurality of reception signals, records each of the plurality of complex transfer functions in the memory as being associated with each time point, extracts, among the plurality of complex transfer functions, a plurality of pairs of two complex transfer functions respectively corresponding to two time points in a predetermined interval, calculates a plurality of pieces of differential information, and estimates to a location of a moving body based on each of the plurality of pieces of differential information.

Abstract: A sensor includes circuitry and a memory, wherein the circuitry acquires an N×M first matrix having complex-number transfer function components representing propagation characteristics between a transmit antenna element and a receive antenna element, from N receive signals received by each of M receive antenna elements for a predetermined period. The circuitry extracts a second matrix, corresponding to a predetermined frequency range from the first matrix, representing components influenced by a vital sign, and estimates a position of the organism with respect to the sensor by using the second matrix. The circuitry also calculates a first distance, indicating a distance between the organism and the transmit antenna, and a second distance, indicating a distance between the organism and the receive antenna. The circuitry further calculates a radar cross-section value with respect to the organism, and estimates a posture of the organism.

Abstract: A sensor includes: a transmission signal generator including N transmission antenna elements that respectively transmit N transmission signals to a predetermined range in which a living body is possibly present, where N is a natural number greater than or equal to 3; a receiver including M reception antenna elements that respectively receive N reception signals including one or more reflected signals, where M is a natural number greater than or equal to 3, the one or more reflected signals being one or more of the N transmission signals transmitted by the N transmission antenna elements that is reflected or scattered by the living body; circuitry; and memory. The circuitry estimates traveling of the living body, and/or the posture and/or action of the living body at the position of the living body.

Abstract: A positioning sensor includes a transmission antenna transmitting a transmission signal, a plurality of reception antennae, each receiving a reception signals, a receiver observing the each of the plurality of reception signals in a predetermined period, a processor, and a memory, in which the processor calculates a plurality of complex transfer functions based on the each of the plurality of reception signals, records each of the plurality of complex transfer functions in the memory as being associated with each time point, extracts, among the plurality of complex transfer functions, a plurality of pairs of two complex transfer functions respectively corresponding to two time points in a predetermined interval, calculates a plurality of pieces of differential information, and estimates to a location of a moving body based on each of the plurality of pieces of differential information.

Abstract: A sensor includes a transmit antenna, a receive antenna, circuitry, and a memory. The transmit antenna includes N transmit antenna elements each transmitting a transmit signal. The receive antenna includes M receive antenna elements each receiving N receive signals including reflection signals reflected by an organism. The circuitry extracts a second matrix corresponding to a predetermined frequency range from an N×M first matrix representing propagation characteristics between each transmit antenna element and each receive antenna element calculated from the receive signals. The circuitry estimates the position of the organism by using the second matrix, and calculates a radar cross-section value with respect to the organism, based on the estimated position and the positions of the transmit antenna and the receive antenna.

Abstract: A positioning sensor includes a transmission antenna transmitting a transmission signal, a plurality of reception antennae, each receiving a reception signals, a receiver observing the each of the plurality of reception signals in a predetermined period, a processor, and a memory, in which the processor calculates a plurality of complex transfer functions based on the each of the plurality of reception signals, records each of the plurality of complex transfer functions in the memory as being associated with each time point, extracts, among the plurality of complex transfer functions, a plurality of pairs of two complex transfer functions respectively corresponding to two time points in a predetermined interval, calculates a plurality of pieces of differential information, and estimates to a location of a moving body based on each of the plurality of pieces of differential information.

Abstract: There is provided an estimation device that estimates a living body orientation.

Abstract: An identification device includes: M transmission antenna elements each of which transmits a first transmission signal to a predetermined area including a first living body; N receivers disposed surrounding the predetermined area, and each including a reception antenna element and receiving, using the reception antenna element, a first reception signal including a reflection signal obtained as a result of the first transmission signal being reflected by the first living body, during a predetermined period; a memory storing teacher signals which are M×N second reception signals obtained about a second living body; and a circuit which calculates a plurality of correlation coefficients from the teacher signals and M×N first reception signals obtained as a result of each of the N receivers receiving the first reception signal, performs biometric authentication of the first living body, and identifies the first living body and the second living body as identical.

Abstract: A sensor includes: a transmitting antenna with N transmitting antenna elements transmitting transmission signals; a receiving antenna with M receiving antenna elements, each receiving N received signals including a reflection signal generated by the living body reflecting part of the N transmission signals; a circuit; and a memory. The circuit extracts a second matrix corresponding to a specified frequency range from an N×M first matrix calculated from each received signal and indicating a propagation property between each transmitting antenna element and each receiving antenna element, estimates the position where the living body is present using the second matrix, calculates a radar cross-section (RCS) value of the living body based on the estimated position and the positions of the transmission and receiving antennas, and estimates the motion of the living body using the calculated RCS value and information indicating correspondence between RCS values and motions of the living body.