Shizuoka University

Nidec Corporation

Yamaha Hatsudoki Kabushiki Kaisha

Honda Elesys Co., Ltd.

Yoshihiko Kuwahara

Hiroyuki Kamo

Junji Kanamoto

Yasushi Hashimoto

A directional antenna includes a substrate, a power-supply radiating element, paired non-power-supply radiating elements, and a metal plate. The power-supply radiating element is formed on the front surface of the substrate to be along the vertical direction. The power-supply radiating element receives electric power from the power-supplying portion. The paired non-power-supply radiating elements are provided along the vertical direction and oppose each other across the power-supply radiating element in a horizontal direction which is a direction along the front surface of the substrate on the horizontal plane, when viewed in a front-rear direction. A part of the metal plate is provided behind a part of the power-supply radiating element. The metal plate is not provided behind the paired non-power-supply radiating elements. The 3 dB beam width of the directional antenna on the horizontal plane is equal to or greater than 180 degrees including the range forward of the directional antenna.

Directional antenna

A radar system includes an array antenna including antenna elements that each output a reception signal in response to one or plural arriving waves, and a signal processing circuit in which a learned neural network has been established. The signal processing circuit receives the reception signals, inputs the reception signals or a secondary signal generated from the reception signals to the neural network, performs computation by using the reception signals or secondary signal and learned data of the neural network, and outputs a signal indicating the number of arriving waves from the neural network.

Neural network-based radar system

A radar system includes an independent multibeam antenna which outputs at least one reception signal in response to at least one arriving wave, and a signal processing circuit in which a learned neural network has been established. The signal processing circuit receives the at least one reception signal, inputs the at least one reception signal or a secondary signal generated from the at least one reception signal to the neural network, performs computation by using the at least one reception signal or secondary signal and learned data of the neural network, and outputs a signal indicating the number of at least one arriving wave from the neural network.

Neural network-based radar system having independent multibeam antenna

An on-board multibeam radar apparatus includes a plurality of beam elements that constitute an antenna transmitting a transmission wave and receiving an incoming wave reflected by and arriving from a target in response to the transmission wave, and a processing unit configured to apply a Fourier transformation to beam element data which are data of a received wave received through the plurality of beam elements based on the number of elements and the element interval of a desired virtual array antenna so as to create virtual array data, and to perform a predetermined process based on the created virtual array data.

Multibeam radar apparatus for vehicle, multibeam radar method and multibeam radar program

A diversity reception device includes a power combiner to combine electric powers of OFDM signals, each OFDM signal being received by a first antenna and second antenna, a switch to change connections between branched output-ports of the first and second antennas, in mid-stream of effective symbol periods, the effective symbol periods are assigned respectively in each of symbol periods of the OFDM signals, a receiver to demodulate the OFDM signals, a phase shifter to shift phases of the OFDM signals received by the second antenna, and an arithmetic and control processing circuit to calculate complex correlation coefficient between a guard interval, assigned in each of the symbol periods associated with the first antenna, and a copy-source interval, assigned in each of the symbol periods associated with the second antenna, and to determine rotation angle on the basis of the complex correlation coefficient.

Growing community of inventors

Hamamatsu, Japan

Yoshihiko Kuwahara