Abstract:
A method for locating a transmitter using a receiver which include, but are not limited to the steps of transmitting a plurality of distinctive and orthogonally polarized signals from a transmitter; receiving the transmitted signals at a pair of separated antennas; demodulating the distinctive orthogonal signals received at each of the pair of separated antennas; and determining a direction to the transmitter from the signals received at the pair of antennas. The system for determining the location of a transmitter using a receiver includes, but is not limited to, having a transmitter adapted for orthogonally transmitting a plurality of distinctive signals; a receiver having a pair of separated antennas for receiving the orthogonally transmitted signals; separate demodulators in the receiver for each antenna of the pair of separated antennas for demodulating the distinctive signals; and signal processing circuitry in the receiver adapted for using the demodulated distinctive signals for determining a direction to the transmitter.
Abstract:
A ranging and tracking system and method employs a Coherent Array Reconciliation Tomography (CART) approach that benefits from a series of samples gathered from deployed receivers in an area of interest, and applies a sequence of matrix operations and transformations to data defining locations in a Cartesian grid space for summing constructive characteristics in a received waveform for identifying a leading edge indicative of a time of arrival (TOA) from a signal source, and computing a metric based on the distance to the signal source. Sampled waveform information (data) from multiple locations in the area of interest allows computation of a likelihood metric for each location in the grid space of containing the signal source. Graphic rendering of the likelihood metric illustrates a position of the signal source by clustering of the locations depicting a high likelihood.
Abstract:
An indoor localization system uses Visual Simultaneous Localization and Mapping (VSLAM) aided by gyroscope sensor information. Indoor environments pose several challenges which could cause a vision only system to fail due to tracking errors. Investigation revealed significant feature loss in a vision only system when traversing plain walls, windows and staircases. However, the addition of a gyroscope helps in handling such difficult conditions by providing additional rotational information. A portable system consisting of an Inertial Measurement Unit (IMU) and a stereo camera has been developed for indoor mapping. The images and gyroscope rates acquired by the system are stored and post-processed using Gyroscope Assisted Scalable Visual Simultaneous Localization and Mapping Algorithm.