To accurately calculate a location range which a ship is capable of reaching within a prescribed time interval. A signal processing device is configured so as to be equipped with reachable range calculation units 17, 18 which calculate a reachable range, which is the location range a ship is capable of reaching within a prescribed time interval, on the basis of the static information of the ship.

The present disclosure is directed to inventive systems, methods, and devices for use in an outdoor lighting network for drone detection. The drone detection system includes one or more lighting fixtures, one or more radar sensors to detect a moving object, and one or more controllers. The controllers receive data from the sensors, determine the velocity and velocity change rate of the object over a period of time, and analyze flight data pertaining to the moving object to determine if the object is a drone. The system can determine the starting location of the moving object, and send a signal indicating its starting location. The system can also track the position of the moving object in the outside environment.

The present disclosure is directed to inventive systems, methods, and devices for use in an outdoor lighting network for drone detection. The drone detection system includes one or more lighting fixtures, one or more radar sensors to detect a moving object, and one or more controllers. The controllers receive data from the sensors, determine the velocity and velocity change rate of the object over a period of time, and analyze flight data pertaining to the moving object to determine if the object is a drone. The system can determine the starting location of the moving object, and send a signal indicating its starting location. The system can also track the position of the moving object in the outside environment.

A waveform estimation device includes: tracking filter processing units 11 and 12 that execute tracking filter processing on observation values using tracking filters having different drive noises; and a filter output selection unit 14 that selects a regular waveform component predicted by the tracking filter processing unit 11, in an irregular section, and selects a regular waveform component predicted by the tracking filter processing unit 12, in a regular section. A residual processing unit 16 calculates a residual between observation values extracted by an observation value extraction unit 1, and a regular waveform component selected by the filter output selection unit 14. An irregular waveform detection unit 17 determines whether the residual is an irregular waveform component.

A waveform estimation device includes: tracking filter processing units 11 and 12 that execute tracking filter processing on observation values using tracking filters having different drive noises; and a filter output selection unit 14 that selects a regular waveform component predicted by the tracking filter processing unit 11, in an irregular section, and selects a regular waveform component predicted by the tracking filter processing unit 12, in a regular section. A residual processing unit 16 calculates a residual between observation values extracted by an observation value extraction unit 1, and a regular waveform component selected by the filter output selection unit 14. An irregular waveform detection unit 17 determines whether the residual is an irregular waveform component.

Provided is an FMCW radar device capable of reducing pairing errors. With use of a first peak frequency change rate during a first chirp period and a second peak frequency change rate during a second chirp period, a first temporary range during the first chirp period and a second temporary range during the second chirp period are calculated. When a difference between the first temporary range and the second temporary range is equal to or less than a set threshold, a first peak frequency and a second peak frequency in a current processing period are paired with each other.

Methods and systems to provide location and navigation information to a user within a building. In an embodiment, low power radars may be used to locate and track a user. Moreover, the systems and methods described herein may take advantage of the known layout of a building, or may ascertain the layout using the radar devices. This information may be used to direct a user from a current location to a desired destination. In some contexts, such as stores, radio frequency ID (RFID) tags may be used to identify a particular destination, such as a particular product in a particular aisle in a store. Multiple persons may be tracked as they move about the building, so that the more frequently used paths may be identified for moving from point to point. These identified paths may then be used in constructing a path for a user who needs directions.

Methods and systems to provide location and navigation information to a user within a building. In an embodiment, low power radars may be used to locate and track a user. Moreover, the systems and methods described herein may take advantage of the known layout of a building, or may ascertain the layout using the radar devices. This information may be used to direct a user from a current location to a desired destination. In some contexts, such as stores, radio frequency ID (RFID) tags may be used to identify a particular destination, such as a particular product in a particular aisle in a store. Multiple persons may be tracked as they move about the building, so that the more frequently used paths may be identified for moving from point to point. These identified paths may then be used in constructing a path for a user who needs directions.

A system for characterizing the environment and objects in the environment created by fusing a plurality of sensor data, comprising a plurality of radar sensors each radar sensor integrated into a wireless module. A processor is operatively connected to the plurality of radar sensors and to a memory, wherein the memory includes instructions recorded thereon that, when read by the processor, cause the processor to combine the sensor data to identify, monitor and characterize the environment and objects within the environment.

A system for characterizing the environment and objects in the environment created by fusing a plurality of sensor data, comprising a plurality of radar sensors each radar sensor integrated into a wireless module. A processor is operatively connected to the plurality of radar sensors and to a memory, wherein the memory includes instructions recorded thereon that, when read by the processor, cause the processor to combine the sensor data to identify, monitor and characterize the environment and objects within the environment.