Radar signal detection and parameter estimation is central in passive surveillance systems, providing inputs for many information processing modules in order to detect, localize, indentify and intercept hostile targets. The proposed method for detecting radar signals and estimating their intra-pulse parameters in time-varying noisy environments consists of several stages: magnitude-squared envelopes calculation, adaptive noise floor estimation, detection statistics calculation, rising edge detection, time of arrival estimation, falling edge detection, time of departure estimation, pulse width estimation, amplitude estimation and center frequency and bandwidth estimation. Estimated intra-pulse parameters are wrapped into pulse descriptor words (PDWs) for information processing tasks, where each PDW consists of time of arrival, time of departure, pulse width, pulse amplitude, center frequency, signal bandwidth, noise floor level and additional useful information. The method is sequential, implemented in hardware platforms for real-time surveillance applications. The proposed method yielded much better performance than classical threshold-based edge (TED) detection methods.

This document describes techniques and systems for fuzzy labeling of low-level electromagnetic sensor data. Sensor data in the form of an energy spectrum is obtained and the points within an estimated geographic boundary of a scatterer represented by the smear is labeled with a value of one. The remaining points of the energy spectrum are labeled with values between zero and one with the values decreasing the further away each respective remaining point is from the geographic boundary. The fuzzy labeling process may harness more in-depth information available from the distribution of the energy in the energy spectrum. A model can be trained to efficiently label an energy spectrum map in this manner. This may result in lower computational costs than other labeling methods. Additionally, false detections by the sensor may be reduced resulting in more accurate detection and tracking of objects.

To recognize a gesture and control a function in an electronic device, an operating method of an electronic device includes the operations of detecting a change of a Radio Frequency (RF) signal emitted into a body using an RF sensor, determining a gesture corresponding to the RF signal based on reference data corresponding to the gesture, and executing a function of the electronic device corresponding to the determined gesture.

A method in a driver assistance system of a vehicle for detecting an object in the surroundings of the vehicle. The method has the following steps: emission of at least one measuring pulse by a transmitter; reception of a reflection of the measuring pulse by at least one receiver; determination of a Doppler shift between the emitted measuring pulse and the received reflection in an analysis unit; and determination of a direction toward the object based on the determined Doppler shift.

A system and method for resolving a first target from a second target by radar is disclosed. The system includes a transmitter for transmitting a source signal, a receiver for receiving first and second echo signals from reflection of the source signal from at least a first target and a second target, respectively. A processor is used to subtract the first echo signal from the composite signal to obtain a second generation of the second echo signal, subtract the second generation of the second echo signal from the composite signal to obtain a second generation of the first echo signal, and estimate a parameter value for the first target from the second generation of the first echo signal and a parameter value for the second target from the second generation of the second echo signal.

A beacon (110) for a ranging system includes an electronic scanned array (ESA) antenna and a transceiver. The ESA antenna is configured to emit a separate radio frequency (RF) phased-array narrow beam (140) for each of a plurality of segments of an arc, and receive from an end user node (130) a response signal based on at least one of the RF phased-array narrow beam (140). Each segment of the arc is scanned at a specified time interval. The transceiver is configured to transmit a pulsed signal via the RF phased-array narrow beam (140), and receive the response signal.

A system for signal processing is provided that obviates the use of prior-knowledge, such as synthetic aperture radar (SAR) imagery, in time compressed signal processing (i.e. it can be knowledge unaided). The knowledge-unaided power centroid (PC.sub.KU) is found by evaluating a covariance matrix R.sub.SCM for its moments m.sub.i. Because R.sub.SCM uses a sample signal, rather than SAR data, the power centroid PC.sub.KU may be found without needing SAR data.

A computer-implemented method is provided for filtering clutter from a radar signal received by an antenna. The method includes determining a transient clutter voltage at first and second times separated by a time interval, determining a clutter correlation for the time interval, and dividing a received signal correlation by the clutter correlation. In alternate embodiments, the clutter correlation can be combined with a noise correlation and the sum divided by the signal correlation.

Methods and apparatus for detecting motion of an object in an environment, the method including transmitting a first wireless signal related to a transmission signal and receiving a second wireless signal related to an incoming signal, wherein the second wireless signal is a reflected first wireless signal from the object, obtaining a modulation signal related to a combination of the transmission and incoming signals, wherein the modulation signal contains a Doppler shift caused by the motion of the object, extracting a signal envelope varied by the Doppler shift from the modulation signal, and determining whether motion of the object is detected in accordance with the signal envelope.

A multiple input multiple output (MIMO) antenna for a radar system that includes a receive antenna, a first transmit antenna, and a second transmit antenna. The receive antenna is configured to detect radar signals reflected by a target toward the receive antenna. The first transmit antenna is formed of a first vertical array of radiator elements. The second transmit antenna is formed of a second vertical array of radiator elements distinct from the first vertical array. The second transmit antenna is vertically offset from the first transmit antenna by a vertical offset distance selected so an elevation angle to the target can be determined.