This invention describes a Spatial Intelligence System that provide radio positioning/navigation with additional spatial data in support of automation, machine learning and inference-based systems. More specifically and in particular, the present invention, is such a radio positioning/navigation system that integrates, correlates with or obviates the need of the global navigation satellite systems (GNSS) with a Pulsed Wireless Location System (PWLS) to provide positioning/navigation/timing data either within a line-of-sight barrier using an ad-hoc coordinate system, a direct line of sight of GNSS beacon geographic coordinate system or a ad-hoc translation to geographic coordinate system. The system generically offers the ability to use a low cost tag or location device with anchor processing or a higher cost, higher capability tag or location device with local processing simultaneously.

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.

A method of tracking objects using a radar, includes sending a beamcode to at least one radar antenna to set a predetermined direction, using samples from a random distribution of at least one of a phase or an amplitude to generate a tracking signal pulse train, transmitting the pulse train from the at least one antenna within a pulse time window, receiving return signals from objects at the at least one antenna, and using the return signals to gather data to track the objects. A radar system has at least one radar antenna to transmit a tracking signal, a memory to store a set of random distributions, a controller connected to at least one radar antenna and the memory, the controller to execute instructions to determine which random distribution to use, generate a pulse train using the random distribution, transmit the pulse train to the at least one radar antenna as the tracking signal, and gather measurement data about objects returning signals from the tracking signal.

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.

In an example method, a vehicle configured to operate in an autonomous mode could have a radar system used to aid in vehicle guidance. The method could include transmitting at least two signal pulses. The method further includes, for each transmitted signal pulse, receiving a reflection signal associated with reflection of the respective transmitted signal pulse. Each reflection signal may be received when the apparatus is in a different respective location. Additionally, the method includes processing the received reflection signals to determine target information relating to one or more targets in an environment of the vehicle. Also, the method includes correlating the target information with at least one object of a predetermined map of the environment of the vehicle to provide correlated target information. Yet further, the method includes storing the correlated target information for the at least one object in an electronic database.

A method to select multiple returns in a light detection and ranging (LIDAR) system includes thresholding a frequency domain waveform to identify a number of peaks above a threshold level. After thresholding, a primary peak selection is applied to identify a primary peak. After identifying a primary peak, a secondary peak selection is applied to a portion of the frequency domain waveform outside a guard-band area to identify a secondary peak.

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' cross-sectional image.

A close range microwave imaging method and system is provided. The method comprises: controlling a linear antenna array consisting of a preset number of antennas to rotate along a preset arc trajectory so as to scan a target region; controlling the linear antenna array to acquire a preset number of echo data at azimuthal positions on the arc trajectory and to send an echo data set constituted by the preset number of echo data to a signal processing device until the linear antenna array completes the acquisition of echo data at preset azimuthal positions on the arc trajectory; and controlling, every time the signal processing device receives the echo data set, the signal processing device to perform imaging processing on the echo data set.

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 analog beamformer includes: an input circuit configured to receive an input signal to generate a first input signal having the same phase as the input signal and a second input signal having a phase difference corresponding to a first phase with respect to the input signal; a first delay circuit configured to delay the first input signal to output a first delayed signal; a second delay circuit configured to delay the second input signal to output a second delayed signal; and an output circuit configured to output an output signal by summing the first delayed signal and the second delayed signal, wherein a first write signal has the phase difference corresponding to the first phase with respect to a second write signal, and a first read signal has the phase difference corresponding to the first phase with respect to a second read signal.