A radar system includes a radio frequency (RF) circuit to generate a transmit signal and to receive a corresponding receive signal from a target during rainfall or snowfall conditions, and a signal processing circuit coupled to the RF circuit to generate an adaptive filter threshold in response to the rainfall or snowfall conditions, and to generate a valid target signal in response a portion of the receive signal above the adaptive filter threshold.

An exemplary computer implemented digital image processing method conveys probabilities of detecting terrestrial targets from an observation aircraft. Input data defining an observation aircraft route relative to the geographical map with lines of communications (LOC) disposed thereon are received and stored as well as input data associated an aircraft sensor's targeting capabilities and attributes related to the capability of targets to be detected. Percentages of time for line-of-sight visibility from the aircraft of segments of LOC segments are determined. Probability percentages that the sensor would detect a terrestrial target on the segments are determined. The segments are color-coded with visibility and sensor detection information. A visual representation of the map with the color-coded segments is provided to enhance the ability to select appropriate observation mission factors to achieve a successful observation mission.

An exemplary computer implemented digital image processing method conveys probabilities of detecting terrestrial targets from an observation aircraft. Input data defining an observation aircraft route relative to the geographical map with lines of communications (LOC) disposed thereon are received and stored as well as input data associated an aircraft sensor's targeting capabilities and attributes related to the capability of targets to be detected. Percentages of time for line-of-sight visibility from the aircraft of segments of LOC segments are determined. Probability percentages that the sensor would detect a terrestrial target on the segments are determined. The segments are color-coded with visibility and sensor detection information. A visual representation of the map with the color-coded segments is provided to enhance the ability to select appropriate observation mission factors to achieve a successful observation mission.

A radar device is mounted on a vehicle, which is a moving object, and includes a doppler correction phase-rotation controller and a phase rotator. Based on the speed of the vehicle, the doppler correction phase-rotation controller calculates a Doppler correction phase-rotation amount for correcting a Doppler frequency due to movement of the vehicle. By using the Doppler correction phase-rotation amount, the phase rotator pre-corrects Doppler frequency components with respect to a radar transmission signal in each transmission interval of the radar transmission signal.

The echoes being picked up in the distance-speed domain, the method being wherein it includes a step of producing a mask, in the distance-speed plane, overlying the zone of detection of the ground and/or sea clutter echoes picked up by the sidelobes, the zone being determinable by the antenna parameters of the radar, the waveform emitted by the radar and the environmental context of the radar, all the points of the distance-speed plane which are covered by the mask being assigned a characteristic which is specific to the mask; a step of filtering the received echoes, in which the echoes covered by the mask are rejected from the radar reception processing.

Disclosed is a Doppler distribution measurement method comprising: receiving a plurality of receive signals that arrive via different RE sets in different paths; measuring CFO values of the plurality of receive signals; selecting the two receive signals in which the difference in value between the CFO values are the greatest, from among the plurality of receive signals; and determining a Doppler shift difference between the selected two receive signals a an effective Doppler distribution.

Disclosed is a Doppler distribution measurement method comprising: receiving a plurality of receive signals that arrive via different RE sets in different paths; measuring CFO values of the plurality of receive signals; selecting the two receive signals in which the difference in value between the CFO values are the greatest, from among the plurality of receive signals; and determining a Doppler shift difference between the selected two receive signals a an effective Doppler distribution.

A method of assessing a reported UE location includes: receiving, at a network entity, the reported UE location; obtaining, at the network entity, a first signal frequency difference indicating a first difference between a received frequency of a first signal received by the UE corresponding to a first transmit signal of a first transmit frequency transmitted from a first non-terrestrial-network node, and a received frequency of a second signal received by the UE corresponding to a second transmit signal of a second transmit frequency transmitted from a second non-terrestrial-network node that is separate from the first non-terrestrial-network node; and providing, by the network entity, a UE location assessment indication based on the first signal frequency difference and a second difference between an expected frequency of the first signal at the reported UE location and an expected frequency of the second signal at the reported UE location.

A method of assessing a reported UE location includes: receiving, at a network entity, the reported UE location; obtaining, at the network entity, a first signal frequency difference indicating a first difference between a received frequency of a first signal received by the UE corresponding to a first transmit signal of a first transmit frequency transmitted from a first non-terrestrial-network node, and a received frequency of a second signal received by the UE corresponding to a second transmit signal of a second transmit frequency transmitted from a second non-terrestrial-network node that is separate from the first non-terrestrial-network node; and providing, by the network entity, a UE location assessment indication based on the first signal frequency difference and a second difference between an expected frequency of the first signal at the reported UE location and an expected frequency of the second signal at the reported UE location.

The present application discloses a new form of -STAP, referred to herein as post -STAP or P-STAP, which overcomes the drawbacks associated with existing -STAP techniques. The P-STAP techniques described herein facilitate the generation of additional training data and homogenization after pulse compression. For example, P-STAP techniques may apply a plurality of homogenization filters to a pulse compressed datacube generated from an input radar waveform, which produces a plurality of new pulse compressed datacubes with improved characteristics. Unlike existing -STAP techniques described above, which require pre-pulse compressed data to operate, the P-STAP techniques disclosed in the present application are designed to utilize pulse compressed data, and therefore may be readily applied to legacy radar systems.