Fujitsu Ten Limited

Yayoi Nakanishi

Masayuki Kishida

Takumi Moriuchi

Shinya Aoki

Seiji Kawabe

A radar apparatus derives (i) first target information of a first target existing in the transmission range of the transmission wave, the first target being a rear end portion of a vehicle and (ii) second target information of a second target existing in the transmission range of the transmission wave, the second target being a portion of the vehicle other than the rear end portion of the vehicle. The radar apparatus calculates a distance difference between the first target and the second target, and predicts, in a case where the first target information of the first target derived in a previous target information derivation process is not derived in a latest target information derivation process, a position of the first target, using the distance difference and the second target information of the second target derived in the latest target information derivation process.

Radar apparatus

There is provided a radar apparatus. An extracting unit extracts a peak signal obtained from a difference frequency between a transmitting signal and a receiving signal during a first period in which the frequency of the transmitting signal ascends and a second period in which the frequency descends. A pairing unit pairs the peak signals of the first and second periods based on a predetermined condition. A deriving unit derives target information including a position of a target based on paired data obtained by pairing the peak signals. The pairing unit selects normal-paired data which is paired in a correct combination, from among the plurality of paired data, based on a plurality of parameter values of the peak signals of the first and second periods which are to be paired, and a discrimination function for discriminating true or false of the pairing.

Radar apparatus and signal processing method

A radar device including a frequency peak detection unit for receiving reflected waves from objects, a first combination group determination unit for combining up frequency peaks with down frequency peaks, a first pairing candidate group determination unit for calculating a Mahalanobis distance for each combination, a second combination group determination unit for combining down frequency peaks with up frequency peaks, a second pairing candidate group determination unit for calculating a Mahalanobis distance, a pairing candidate group extraction unit for removing the pairs having larger Mahalanobis distances, a current pairing candidate group determination unit for removing the pairs having a Mahalanobis distance larger than or equal to a threshold value, and a current data calculation unit for calculating current data values that include a distance, relative velocity and angle of the objects. The characteristic values include angles, power and spectrum intensity.

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Kobe, Japan

Yayoi Nakanishi