An electronic device includes memory circuitry, interface circuitry, and processor circuitry. The processor circuitry is configured to transmit, to a plurality of electronic reference devices, a first signal, the first signal having a pulse width below a threshold. The processor circuitry is configured to determine, based on the received second signals and at least one predetermined time period, a time of flight of each of the second signals. The processor circuitry is configured to obtain, from the memory circuitry, reference positions of the plurality of electronic reference devices. The processor circuitry is configured to determine, based on the associations, one or more candidate positions of the electronic device. The processor circuitry is configured to determine, based on the distances, the one or more candidate positions, and the obtained reference positions, a position of the electronic device.

Systems and methods are provided for morphological components analysis (MCA) techniques for efficient maritime target detection. Embodiments of the present disclosure provide systems, methods, and devices for determining the free parameter for MCA analysis. Embodiments of the present disclosure using MCA utilize effective pre-processing step(s) that separate target signals from clutter, thereby improving the overall performance of subsequent target detection processing. Systems and methods in accordance with embodiments of the present disclosure can optimize the value of the parameter , significantly affecting MCA performance.

A system is disclosed. The system may include a receiver or transmitter node. The receiver or transmitter node may include a communications interface with an antenna element and a controller. The controller may include one or more processors and have information of own node velocity and own node orientation relative to a common reference frame. The receiver or transmitter node may be time synchronized to apply Doppler corrections to signals, the Doppler corrections associated with the receiver or transmitter node's own motions relative to the common reference frame, the Doppler corrections applied using Doppler null steering along Null directions. The receiver node is configured to determine a parameter of the signals and an authenticity of the signals based on the parameter.

Disclosed is an ATC Radar and a method of operating an ATC Radar, including the steps of: receiving In-phase (I) and Quadrature (Q) signals; creating first and second complex clutter maps using the I and Q signals; wherein the first map comprises data which is dynamically updated on a per-scan basis and the second map comprises data indicative of a static environment with no targets; subtracting data from the second map from the received I and Q signals to mitigate the effects of static objects in the environment, to yield compensated I and Q data; and using the compensated I and Q data for target detection and/or tracking.

Method of slowly moving target detection with application for coastal surveillance radars. This method improves the well know other methods and efficiently detects targets with a high accuracy. The proposed method consists of three steps that are: step of generation and processing of signals with complex modulation; step of target clustering and step of detection of slowly moving targets in clutter environments.

A method of filtering dynamic objects in radar-based ego-motion estimation includes converting measurement value at current time, measured by radar sensor, into point cloud, classifying the point cloud into points of a first object predicted as static object and points of a second object predicted as dynamic object, based on position value of dynamic object tracked at previous time, classifying the points of the first object into the points of the static object predicted as normal value and the points of the dynamic object predicted as outlier, based on outlier filtering algorithm, classifying the points of the second object into points of a candidate static object and points of a candidate dynamic object, based on velocity model of the static object, and tracking a position value of the dynamic object at current time, based on the points of the dynamic object and the points of the candidate dynamic object.

The embodiments relate to a radar control device and method. Specifically, a radar control device according to the embodiments may include a receiver configured to receive reception information for detecting objects around a host vehicle at predetermined periods, a detector configured to detect a clutter based on the reception information, and a determiner configured to estimate an estimated clutter in a second period based on a relative speed between a first clutter detected in a first period and the host vehicle, and determine an occupancy state of a lane around the host vehicle based on the estimated clutter.

Described are a system and technique to mitigate the impacts of clutter in a radar system. The system and technique require only linear co-polarized measurements can be incorporated into the standard radar signal processing chain without slowing down radar performance.

A method of estimating a local plot density in a radar system observing an observation volume, the radar system configured to generate plots with plot attributes, by establishing a non-empty set of M-dimensional basis functions and corresponding coefficients, and repeatedly updating at least one coefficient based on at least one plot as obtained from the radar system, adjusting the basis functions and corresponding coefficients to represent a number of plots in a predetermined adjusting interval, and estimating the local plot density at a given point in the observation volume.

A moving target indicator radar system can include a radar transceiver. The system can further include processing circuitry. The processing circuitry can provide a command to move an antenna beam in an azimuth direction. The processing circuitry can further control the radar transceiver to transmit a series of pulses throughout antenna beam motion such that the series of pulses are assembled into Coherent Processing Intervals (CPIs) and such that for a possible target, sequential sets of CPIs are combined covering at least a 3 dB portion an azimuth beam. The processing circuitry can further detect at least one moving target in at least one CPI. Other apparatuses and methods are also described.