An object recognition device for vehicles, including a sensor, a filter device and an analysis device. Signals from an object are detectable by the sensor. The detected signals are filterable by the filter device and then feedable to the analysis device. The analysis device is configured to recognize the object by analyzing the filtered signals. The filter device includes an averaging unit, which averages the profile of the amplitudes of the detected signals, and a non-linear filter unit, which is provided based on a linear low-pass filter with a variable time constant and filters the detected signals. A value profile corresponding to the difference between the averaged amplitude profile and the filtered signals is feedable to the analysis device for analyzing and recognizing the object. The variable time constant is establishable based on the difference between the filtered signals and the detected signals and based on the averaged amplitude profile.

A radar signal transmitter transmits first and second radar signals at different first and second frequencies. A radar receiver receives reflected radar signals and generates receive signals indicative of the reflected radar signals. A first receive signal is indicative of a first reflected radar signal generated by reflection of the first transmitted radar signal, and a second receive signal is indicative of a second reflected radar signal generated by reflection of the second transmitted radar signal. A processor receives the first and second receive signals and computes a difference between the first and second receive signals to generate a difference signal. The processor processes the difference signal to provide radar information for the region, the processor adjusting at least one of amplitude and phase of at least one of the first and second receive signals such that the difference is optimized at a preselected range from the receiver.

The purpose is to calculate wave information accurately. A signal processing device 10 is provided, which may include a frequency area spectrum generating module 8, an integrating module 17, and a wave information calculating module 18. The frequency area spectrum generating module 8 may carry out a frequency analysis of the echoes from the waves included in a plurality of analysis areas set within the detection area, respectively, and generate frequency area spectrums for the plurality of analysis areas, respectively. The integrating module 17 may integrate echo intensities indicated by each sampling point that constitutes each of the frequency area spectrums while unifying directions included in coordinates of the frequency area spectrum, and generate an integrated frequency area spectrum. The wave information calculating module 18 may calculate wave information that is information related to the waves included in the analysis areas based on the integrated frequency area spectrum, respectively.

Apparatus and method configured to determine locations of man-made objects within synthetic aperture radar (SAR) imagery. The apparatus and method prescreen SAR imagery to identify potential locations of man-made objects within SAR imagery. The potential locations are processed using a change detector to remove locations of natural objects to produce a target image containing location of substantially only man-made objects.

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.

The disclosure discloses a channel combining and time-division processing circuit of a dual-plane pulse Doppler radar seeker. The circuit includes a time-division control circuit configured to receive a time-division control signal, control input of an elevation difference channel signal and an azimuth difference channel signal, combine the elevation difference channel signal and the azimuth difference channel signal and output a combined difference channel signal, and a hybrid bridge circuit configured to receive a sum channel signal, combine channels for the sum channel signal and the combined difference channel signal and output signals on a combined channel. With the circuit of the disclosure, signals received from a sum channel, an azimuth difference channel and an elevation difference channel can be combined into received signals from two channels for processing with one received signal processing channel hardware omitted.

One or more aspects of this disclosure relate to the usage of an impulse radio ultra-wideband (IR-UWB) radar to reconstruct a cross-sectional image of subject in a noninvasive fashion. This image is reconstructed based on the pre- and post-processing of recorded waveforms that are collected by the IR-UWB radar, after getting reflected-off the subject. Furthermore, a novel process is proposed to approximate the different tissues' dielectric constants and, accordingly, reconstruct a subject's cross-sectional image.

A method for measuring a distance to a target in a multi-user environment by means of at least one sensor, comprising: irradiating the environment by means of a series of radiation pulses, wherein series of radiation pulses are emitted at a determined repetition rate and with a determined random delay; collecting pulses that are reflected or scattered from the environment to at least a detector connected to at least one chronometer; assigning a timestamp at every detected pulse on the detector; subtracting the added delay from every registered timestamp coming from the chronometer, the result corresponding to the time of arrival; determining the statistical distribution of said time of arrival; determining the distance to the target from said statistical distribution.

A millimeter wavelength charting synthetic aperture radar having small dimensions and light weight, carried by an UAV (unmanned aerial vehicle), also referred to as a drone.

System, computer products, and methods can improve the resolution of data from a sensor array. One of these methods include receiving, from an analog to digital converter, a series of measurements representing frequency samples and spatial samples from a sensor array. The method includes generating a plurality of factors based on a polynomial. The method includes applying one or more complex weights to the measurements based on the factors. The method includes combining the complex weighted measurements into a plurality of values. The method also includes identifying a characteristic of an object detected by the sensor array based on the plurality of values.