Abstract:
Antenna systems and methods of detecting RF signals received from a field of view (FOV) are presented, employing intersecting fan beam pluralities formed by associated columns or rows of antenna elements and cross-correlation of components of the received radiation from the fan beam pluralities. The intersecting fan beams pluralities form pencil-like beams persistently spanning the FOV as desired. Angle(s) of arrival and frequency channels of incident RF signals may be determined through power estimation, ranking and filtering, and/or frequency channelization techniques. Higher sensitivity beams may be cued to more accurately characterize the incident signals.
Abstract:
Technology to determine a satellite's orbit is disclosed. In an example, an orbital determination (OD) device for a satellite operable to determine a satellite's orbit can include computer circuitry configured to: Receive a single global positioning system-generated (GPS-generated) signal from a GPS satellite; decode an ephemeris of the GPS satellite from the GPS-generated signal; determine a Doppler shift and a Doppler trend of the GPS-generated signal; and generate a Doppler-GPS OD using the ephemeris of the GPS satellite and the Doppler shift and the Doppler trend of the GPS-generated signal fit to Kepler orbital elements of an orbit model.
Abstract:
Method and apparatus for generating channelized hardware-independent waveforms include: generating metadata associated with a waveform, the metadata including a frequency list, a phase list and amplitude information, wherein the metadata is generated independent of a number of channels; interpreting the metadata to generate channel select, frequency, phase and amplitude parameters; providing the frequency, phase and amplitude parameters to a direct digital synthesizer (DDS) to generate a digital signal; providing the channel select parameter to a channel selector to generate a plurality of channelized waveforms from the generated digital signal; and transmitting the plurality of channelized waveforms over a plurality of communication channels.
Abstract:
A method includes generating a sampling signal having a non-uniform sampling interval and sampling a received signal with an analog-to-digital converter (ADC) using the sampling signal. The method also includes mapping the sampled received signal onto a frequency grid of sinusoids, where each sinusoid has a signal amplitude and a signal phase. The method further includes estimating the signal amplitude and the signal phase for each sinusoid in the frequency grid. In addition, the method includes computing an average background power level and detecting signals with power higher than the average background power level. The non-uniform sampling interval varies predictably.
Abstract:
Provided are examples of a detecting engine for identifying detections in compressed scene pixels. For a given compressed scene pixel having a set of M basis vector coefficients, set of N basis vectors, and code linking the M basis vector coefficients to the N basis vectors, the detecting engine reduces a spectral reference (S) to an N-dimensional spectral reference (SN) based on the set of N basis vectors. The detecting engine computes an N-dimensional spectral reference detection filter (SN*) from SN and the inverse of an N-dimensional scene covariance (CN). The detecting engine forms an M-dimensional spectral reference detection filter (SM*) from SN* based on the compression code and computes a detection filter score based on SM*. The detecting engine compares the score to a threshold and determines, based on the comparison, whether the material of interest is present in the given compressed scene pixel and is a detection.
Abstract:
The disclosure provides a filtering engine for selecting sparse filter components used to detect a material of interest (or specific target) in a hyperspectral imaging scene and applying the sparse filter to a plurality of pixels in the scene. The filtering engine transforms a spectral reference representing the material of interest to principal components space using the eigenvectors of the scene. It then ranks sparse filter components based on each transformed component of the spectral reference. The filtering engine selects sparse filter components based on their ranks. The filtering engine performs the subset selection quickly because the computations are minimized; it processes only the spectral reference vector and covariance matrix of the scene to do the subset selection rather than process a plurality of pixels in the scene, as is typically done. The spectral filter scores for the plurality of pixels are calculated efficiently using the sparse filter.
Abstract:
A method for reducing dimensionality of hyperspectral images includes receiving a hyperspectral image having a plurality of pixels. The method may further include establishing an orthonormal basis vector set comprising a plurality of mutually orthogonal normalized members. Each of the mutually orthogonal normalized members may be associated with one of the plurality of pixels of the hyperspectral image. The method may further include decomposing the hyperspectral image into a reduced dimensionality image, utilizing calculations performed while establishing said orthonormal basis vector set. A system configured to perform the method may also be provided.
Abstract:
A direction finding interferometer shares receivers among antennas and aperiodically switches between those antennas. The phase differences for a subset of the antenna pairs are measured for each pulse and the results are combined with the results from subsequent pulses to resolve ambiguities. An angle of arrival common to two subsets of angles of arrival is the unambiguous angle of arrival.
Abstract:
Systems and methods for determining an angle of arrival (AoA) of a signal received from an emitters at a pair of antennas spaced apart by more than one half wavelength of the received signal. Features of the signal are determined, including a phase difference between signal components detected at the antennas, and a time difference of arrival (TDOA) having a known measurement error. A set of TDOA possibilities bounded by the known TDOA measurement error and a set of AoA estimates using phase interferometry (PI) within the range are calculated. The TDOA set is iteratively reduced to determine a precise AoA estimate for the emitter.
Abstract:
Methods and systems for determining an angle of arrival (AoA) of a RF emitter signal utilizing phase comparisons between pairs of antennas from among two closely spaced antenna elements and a third antenna element fixedly positioned more distant, and a combination of TDOA and PI techniques, to resolve PI ambiguities. Overlapping AoA ambiguity patterns with different angular spacings may be resolved by TDOA techniques. A span of TDOA AoA possibilities is obtained, centered at a solution to a TDOA angle calculation and bounded by a known TDOA measurement error range.