This disclosure relates to systems and methods for measuring wave fields of a body of water. A system can include a radiation source and an antenna that can cooperate with the radiation source to transmit a radio frequency (RF) signal to a wave field having one or more waves. The antenna can receive backscattered signals from the wave field. The system can include a local oscillator and a processor. The local oscillator downconverts the backscattered signals into baseband signals and the processor can process the baseband signals to determine a relative velocity of each of the waves of the wave field. The processor can further be programmed to identify an observed portion of the backscattered signals as bad data and remove the bad data from further processing.

Disclosed is a method and a system for the automated computation of a length or width dimension of a moving platform. The method includes sending radio waves toward the platform along a predetermined transmission axis and acquiring at least one digital power profile signal representative of a received reflected signal power as a function of a radial distance along the transmission axis relative to a reference point. This method next includes applying a filtering operator on the acquired digital power profile signal, making it possible to obtain a filtered digital signal, determining, by computation, a first radial distance corresponding to a first variation peak of the filtered digital signal and a second radial distance corresponding to a second variation peak of the filtered digital signal, and the computing a radial dimension of the platform as a function of the first and second radial distances.

An unmanned, autonomous, self-sustaining and self-repairable floating platform which is positioned at a fixed location within the sea, capable of constantly monitoring, without having to be removed, a specific maritime zone including a sea surface area and the aerial and underwater space pertaining to this sea surface area, the platform comprising telecommunication means adapted to exchange surveillance related information with a Command, Communication and Control center. The platform comprises a deck maintained well above sea surface through a connecting member with an underlying, fully or partially submerged, system of floaters and is equipped with a variety of sensors and surveillance systems such as radar, Li-dar, sonar, electromagnetic, unmanned vehicles (UAVs, UUVs and USVs), active and passive self-protection systems as well as research and rescue equipment. A mast having a substantial height (usually 40-50 m) and equipped with appropriate surveillance devices is mounted and ex-tends vertically upwardly the deck.

The ship candidate pixel derivation means 81 regards each individual pixel of an input synthetic aperture radar image as a pixel of interest, and determines, for each pixel of interest, whether or not the pixel of interest is a ship candidate pixel which is a candidate of a pixel representing a ship, for each combination of a cell size of a target cell including the pixel of interest and a cell size of a guard cell that corresponds to an area between a background cell including pixels around the target cell and the target cell. The integration means 82 integrates a plurality of determination results of whether the pixel of interest is the ship candidate pixel or not, for each pixel of interest. The ship pixel detection means 83 detects the pixel corresponding to the ship, based on integration results obtained for each pixel of interest by the integration means 82.

A method includes: extracting Time to Closest Point of Approach included in a predetermined time from “risk value information” that stores a “Closest Point of Approach”, the “Time to Closest Point of Approach” and a “risk value” for “a first vessel and a second vessel”, the risk value being a value indicating a possibility of collision between the first vessel and the second vessel at the Closest Point of Approach and the Time to Closest Point of Approach; acquiring the Closest. Point of Approach and the risk value corresponding to the extracted Time to Closest Point of Approach from the risk value information; determining to which sea area the acquired Closest. Point of Approach belongs to; and executing calculation processing that includes calculating a sum of risk values corresponding to the Closest Point of Approach for each of sea areas to which the determined Closest Point of Approach belongs.

Determining a target's range profiles is an important issue for coastal surveillance radars because it can give us the knowledge about the target, for example, target's type, target's structure and its length along radial direction. Some modern radars nowaday are equipped with the feature of target's range profile extraction, but the results are not accurate due to limitations in processing algorithms. The invention “system and method of determining target's range profiles for coastal surveillance radars” solves the above problem in the direction of proposing a system of technical solutions and associated algorithm improvements.

An apparatus for nautical tracking, where the apparatus detects at least one object. The apparatus further determines radar information associated with the at least one object, and calculates a first velocity vector associated with the at least one object. The apparatus further determines information associated with a tidal current of the water body, and calculates a second velocity vector based on the information associated with the tidal current. The apparatus further compares the first velocity vector and the second velocity vector in order to classify an object of the at least one object as a target, and further notifies a user of the target.

An apparatus for nautical tracking, where the apparatus detects at least one object. The apparatus further determines radar information associated with the at least one object, and calculates a first velocity vector associated with the at least one object. The apparatus further determines information associated with a tidal current of the water body, and calculates a second velocity vector based on the information associated with the tidal current. The apparatus further compares the first velocity vector and the second velocity vector in order to classify an object of the at least one object as a target, and further notifies a user of the target.

A smart radar data mining and target location corroboration system has a target incident processing system (TIPS) and target information system (TIS) that provide corroborating radar data in response to target incident data, to assist search and response personnel in responding to high-risk safety or security incidents involving an uncooperative vessel or aircraft. The TIPS rapidly mines large volumes of historical radar track data, accessible through the TIS, to extract corroborating radar data pertinent to the target incident data. The corroborating radar data include trajectories, last known radar position (LKRP) or first known radar position (FKRP) information believed to be associated with the target incident data.

A radar device includes a transmitter, a receiver and processing circuitry. The transmitter transmits a first pulse signal and a second pulse signal, a pulse width of the second pulse signal being wider than a pulse width of the first pulse signal. The receiver may receive a first reception signal including a reflection signal of the first pulse signal and a second reception signal including a reflection signal of the second pulse signal. The processing circuitry may be configured to compare, in a first section that is at least partly in a distance direction, a signal intensity of the first reception signal with a signal intensity of the second reception signal, and generate a display signal based on a result of the comparison.