Abstract: A MIMO radar signal processing device includes a plurality of matched filter banks to receive reception signals from a plurality of reception antennas and transmission signals from a plurality of transmission signal generating units, and output matched filter outputs serving as a vector element of a reception signal vector, a tentative angle measuring unit to assume the matched filter outputs from the plurality of matched filter banks as reception signals in a direct propagation mode and calculate a tentative measured angle value for a reception signal vector of interest, and a bidirectional angle measuring unit to obtain a bidirectional measured angle value for the reception signal vector of interest from the matched filter outputs from the plurality of matched filter banks and the tentative measured angle value calculated by the tentative angle measuring unit.

Abstract: A MIMO radar signal processing device includes a plurality of matched filter banks to receive reception signals from a plurality of reception antennas and transmission signals from a plurality of transmission signal generating units and output matched filter outputs serving as vector elements of reception signal vectors, and a bidirectional angle measuring unit to obtain a bidirectional measured angle value constituted by a direction-of-departure and a direction-of-arrival in the reception signal vector of interest corresponding to a range Doppler cell given in target detection processing among the reception signal vectors for the matched filter outputs output from the plurality of matched filter banks.

Abstract: A positioning device according to the present disclosure technology includes a TDOA calculator to calculate a TDOA on the basis of a peak of cross-correlation, a TDOA positioning processor to perform TDOA positioning on the basis of the TDOA, a DOA estimation processor to estimate a DOA from a reception signal received by an array antenna of at least one satellite, a DOA positioning processor to perform DOA positioning on the basis of the DOA, and an ambiguity handler to select one closest to a result calculated by the DOA positioning processor from a plurality of positioning results calculated by the TDOA positioning processor.

Abstract: An angle width estimation device is configured in such a way as to include: a beam forming unit to acquire one reception array signal of a reflected wave from a target to be observed, and form, from the one reception array signal, a plurality of null beams having nulls in an arrival direction of the reflected wave, and having null widths which are widths of the nulls and different from each other; and an angle width estimating unit to compare powers of the plurality of null beams formed by the beam forming unit with each other, and estimate a null width indicating an angle width of the reflected wave on the basis of a comparison result of the powers.

Abstract: A target distance estimation device includes: a multipath composite wave signal generation unit that generates a multipath composite wave signal that is a simulation signal of a composite wave of a direct wave and a multipath wave received by a reception antenna in a case where a provisional target distance, which is a provisional target distance from a radio source to a radio wave detection device, is set; and a target distance estimation unit that estimates a target distance from the radio wave detection device to the radio source on the basis of a correlation between the reception signals and the multipath composite wave signal generated by the multipath composite wave signal generation unit.

Abstract: An inference system includes: a learning unit that generates an inference model using a first dataset including a plurality of sample data whose ground truth is given and a second dataset including a plurality of sample data whose ground truth is not given; and an inference unit that determines an inference result. The inference model includes an encoder that calculates from sample data a first feature value independent of the first and second datasets and a second feature value dependent on the first or second dataset. The learning unit trains the encoder such that the same first feature value is calculated from any of first and second sample data for a pair of the first sample data among the first dataset and the second sample data which is among the second dataset and whose ground truth is to be identical to the ground truth of the first sample data.

Abstract: An adaptive array antenna system receives a desired wave arriving through K time slots each allocated to one of K transmitting stations. In the adaptive array antenna system, an adaptive control device includes a correlation matrix calculating unit, a correlation matrix storing unit, an inverse matrix calculating unit, and a weighting factor calculating unit. The inverse matrix calculating unit acquires a correlation matrix having been calculated at previous time for another time slot other than the current time slot from the correlation matrix storing unit, regards the acquired correlation matrix as an interference noise correlation matrix, and calculates an inverse matrix of the interference noise correlation matrix. The weighting factor calculating unit calculates values of a plurality of weighting factors used by a beamforming unit using the inverse matrix.

Abstract: A radar apparatus includes a transmitting array antenna that transmits signals orthogonal to one another from a plurality of transmitting antennas, a receiving array antenna that receives the signals reflected from a target by a plurality of receiving antennas, and a signal processing unit that detects the target from reception signals received by the plurality of receiving antennas. The signal processing unit includes a correlation matrix calculation unit that determines a first correlation matrix corresponding to the transmitting array antenna and a second correlation matrix corresponding to the receiving array antenna, on the basis of the reception signals separated by a separation unit, and a detection unit that detects the target on the basis of an evaluation value calculated using eigenvectors of the first correlation matrix and the second correlation matrix.

Abstract: A correlation matrix calculating unit calculates an unnecessary signal correlation matrix. A diagonal load processing unit performs diagonal load processing on the unnecessary signal correlation matrix. A window function calculating unit calculates a window function for obtaining a side lobe characteristic that reduces unnecessary signals on the basis of an unnecessary signal correlation matrix R after the diagonal load processing. A window function applying unit applies the window function to a reception signal vector. A beam forming unit forms a MIMO beam on the basis of the reception signal vector to which the window function is applied and a beam directivity angle.

Abstract: A search area width setting unit for setting a search area width having a frequency corresponding to a signal component of an object by using detection information of the object is included, and a signal component selecting unit determines a search area having the search area width set by the search area width setting unit and selects a signal component a frequency of which is included in the search area from each of a signal received by a signal receiving unit and signals received by object detection devices. As a result, an increase in the false detection probability of the object can be suppressed even in a case where the reception signals have low signal power-to-noise power ratios.

Abstract: This beam formation device includes: a Doppler bin detection unit that detects a target Doppler bin which is a Doppler bin in which a target signal is present, from a correlation matrix calculated by a correlation matrix calculation unit and a reception signal vector calculated by a Doppler analysis unit; a target signal removal unit that removes, from the correlation matrix calculated by the correlation matrix calculation unit, the target signal in the target Doppler bin detected by the Doppler bin detection unit and thereby calculates a target-signal-removed correlation matrix from which the target signal has been removed; and a weighting calculation unit that calculates an adaptive weighting of the reception signal vector from the target-signal-removed correlation matrix calculated by the target signal removal unit. A beam formation unit forms an adaptive beam from the reception signal vector calculated by the Doppler analysis unit and the adaptive weighting calculated by the weighting calculation unit.

Abstract: There are provided: a spectral analyzer configured to individually analyze a spectrum of a beat signal extracted by a beat signal extractor and a spectrum of a beat signal extracted by another object detecting device; a search range width setter configured to set a search range width for frequency; and a combination target selector configured to determine, for each spectrum analyzed by the spectral analyzer, a frequency search range having the search range width set by the search range width setter, and select, for each of the analyzed spectra, a frequency of a combination target from among the frequencies in the determined search range by comparing spectral components of the frequencies in the determined search range.

Abstract: A correlation matrix calculating unit calculates an unnecessary signal correlation matrix. A diagonal load processing unit performs diagonal load processing on the unnecessary signal correlation matrix. A window function calculating unit calculates a window function for obtaining a side lobe characteristic that reduces unnecessary signals on the basis of an unnecessary signal correlation matrix R after the diagonal load processing. A window function applying unit applies the window function to a reception signal vector. A beam forming unit forms a MIMO beam on the basis of the reception signal vector to which the window function is applied and a beam directivity angle.

Abstract: Pulse compression units (9-m) (m=1, . . . , M) obtain frequency spectra of received signals by performing Fourier transform on the received signals output from receiver devices (7-m), calculate spectrum products of references for pulse compression, the references determined by beam directional angles indicating propagation directions of transmission pulses and carrier frequencies, and the frequency spectra, and perform inverse Fourier transform on the spectrum products. This enables reduction in the calculation scale by reducing the number of times of execution of Fourier transform and inverse Fourier transform when pulse compression is performed.

Abstract: A search area width setting unit for setting a search area width having a frequency corresponding to a signal component of an object by using detection information of the object is included, and a signal component selecting unit determines a search area having the search area width set by the search area width setting unit and selects a signal component a frequency of which is included in the search area from each of a signal received by a signal receiving unit and signals received by object detection devices. As a result, an increase in the false detection probability of the object can be suppressed even in a case where the reception signals have low signal power-to-noise power ratios.

Abstract: A radar apparatus of the present invention includes a transmitting array antenna that transmits signals orthogonal to one another from a plurality of transmitting antennas, a receiving array antenna that receives the signals reflected from a target by a plurality of receiving antennas, and a signal processing unit that detects the target from reception signals received by the plurality of receiving antennas.

Abstract: Pulse compression units (9-m) (m=1, . . . , M) obtain frequency spectra of received signals by performing Fourier transform on the received signals output from receiver devices (7-m), calculate spectrum products of references for pulse compression, the references determined by beam directional angles indicating propagation directions of transmission pulses and carrier frequencies, and the frequency spectra, and perform inverse Fourier transform on the spectrum products. This enables reduction in the calculation scale by reducing the number of times of execution of Fourier transform and inverse Fourier transform when pulse compression is performed.

Abstract: There are provided: a spectral analyzer configured to individually analyze a spectrum of a beat signal extracted by a beat signal extractor and a spectrum of a beat signal extracted by another object detecting device; a search range width setter configured to set a search range width for frequency; and a combination target selector configured to determine, for each spectrum analyzed by the spectral analyzer, a frequency search range having the search range width set by the search range width setter, and select, for each of the analyzed spectra, a frequency of a combination target from among the frequencies in the determined search range by comparing spectral components of the frequencies in the determined search range.

Abstract: There are provided correlation process units 5-1 (5-2, . . . , and 5-N) for performing a cross-correlation process between replicas of a plurality of mutually orthogonal transmission signals and reception signals of receiving antenna elements 3-1 (3-2, . . . , and 3-N) and outputting a plurality of signals after the cross-correlation process, and a weighting unit 6 for weighting the plurality of signals after the cross-correlation process outputted from the correlation process units 5-1 to 5-N in accordance with the arrangement of transmitting antennas 2-1 to 2-3 and the receiving antenna elements 3-1 to 3-N and an antenna directivity pattern, and a signal combination unit 10 combines the plurality of signals after the cross-correlation process that are weighted by the weighting unit 6.

Abstract: There are provided correlation process units 5-1 (5-2, . . . , and 5-N) for performing a cross-correlation process between replicas of a plurality of mutually orthogonal transmission signals and reception signals of receiving antenna elements 3-1 (3-2, . . . , and 3-N) and outputting a plurality of signals after the cross-correlation process, and a weighting unit 6 for weighting the plurality of signals after the cross-correlation process outputted from the correlation process units 5-1 to 5-N in accordance with the arrangement of transmitting antennas 2-1 to 2-3 and the receiving antenna elements 3-1 to 3-N and an antenna directivity pattern, and a signal combination unit 10 combines the plurality of signals after the cross-correlation process that are weighted by the weighting unit 6.