A tracking loop and associated method for tracking a satellite signal in a GNSS receiver and for determining a line-of-sight (LOS) signal from a plurality of satellite signals received by the GNSS receiver from a satellite. One or more first correlators perform a correlation between a code signal derived from one of the received satellite signals and a plurality of corresponding replica code signals to determine a plurality of code correlation sums comprising a prompt code correlation sum, one or more early code correlation sums and one or more late code correlation sums. One or more second correlators correlate the plurality of code correlation sums with a plurality of replica carrier signals, each having a different Doppler frequency offset, to determine, for each of the plurality of code correlation sums, a set of correlation magnitudes at frequencies of the plurality of replica carrier signals. An LOS identification module identifies the LOS signal based on a signal propagation delay corresponding to one or more local maxima within the sets of correlation magnitudes.

A position detection method to be executed by a computer, the position detection method includes transmitting, by a sensor terminal, a signal obtained by performing capture processing on a satellite signal from a satellite of a search target according to an order of the satellites of the search targets; calculating, by a calculation device, a position of the sensor terminal based on a signal transmitted by the sensor terminal; and determining a satellite having a highest discovery probability based on a specific estimation method for second and subsequent search targets, using an index which is reflected larger as the discovery probability of other satellites is higher or lower, in a case where the first satellite is captured when a first search target is determined.

Certain implementations of the disclosed technology may include systems and methods for reducing noise in dual-frequency GNSS signal observation. The method can include: receiving, at a GNSS receiver, a first signal and a second signal. At least the second signal includes noise. The first signal is characterized by a first carrier frequency, and the second signal is characterized by a second carrier frequency. The method includes: down converting, sampling, cross-correlating, accumulating, determining ambiguous instantaneous phases, determining non-ambiguous instantaneous phases, producing normalized non-ambiguous instantaneous first phase samples, constructing a normalized first counter rotation phasor, generating a counter-rotated second observable, applying a low pass filter to remove noise; and outputting the filtered second observable.

A method for detecting the spoofing of a signal from a satellite in orbit. A receiver can be located on an aircraft to receive an apparent satellite signal. The method can include determining at least two characteristic signatures of the signal including a power level, and indicating the apparent satellite signal is a spoofed satellite signal.

A method is for detecting loss-of-lock of a GNSS (Global Navigation Satellite System) signal tracking loop based on frequency compensation, comprising the following steps of: performing multi-channel frequency compensation on I-channel and Q-channel signals after down-conversion, pseudo-code stripping and integration clearing; then, performing coherent integration and non-coherent integration for a fixed time, and taking a maximum value of non-coherent integration results as a signal value; performing parabolic interpolation frequency identification, and taking an average value of the non-coherent integration results with the frequency differences of +/−50 Hz and +/−100 Hz as a noise value; and finally, calculating a ratio of the signal value to the noise value, and performing loss-of-lock detection with the ratio as a detection volume.

The carrier phase ready coherent acquisition of a global navigation satellite system (GNSS) snapshot signal includes receiving in a snapshot receiver different GNSS signals from correspondingly different GNSS satellites, and performing multi-hypothesis (MH) acquisition upon each of GNSS signal in order to produce a complete set of secondary code index hypotheses, each hypothesis producing a corresponding acquisition result according to an identified peak at a correct code-phase and Doppler frequency. The secondary code index hypotheses are adjusted for each different GNSS signal based upon a flight time difference determined for each GNSS satellite, so as to produce a new set of hypotheses. Finally, one of the hypotheses in the new set may be selected as a correct hypothesis according to a predominate common index amongst the hypotheses in the new set, and the acquisition results for each of the different GNSS signals may be filtered utilizing the correct hypothesis.

A method and apparatus detects and estimates geo-observables of navigation signals employing civil formats with repeating baseband signal components, i.e., “pilot signals,” including true GNSS signals generated by satellite vehicles (SV's) or ground beacons (pseudolites), and malicious GNSS signals, e.g., spoofers and repeaters. Multi-subband symbol-rate synchronous channelization can exploit the full substantive bandwidth of the GNSS signals with managed complexity in each subband. Spatial/polarization receivers can be provided to remove interference and geolocate non-GNSS jamming sources, as well as targeted GNSS spoofers that emulate GNSS signals. This can provide time-to-first-fix (TTFF) over much smaller time intervals than existing GNSS methods; can operate in the presence of signals with much wider disparity in received power than existing techniques; and can operate in the presence of arbitrary multipath.

An apparatus, a method, a method of manufacturing an apparatus, and a method of constructing an integrated circuit are provided. The apparatus includes a memory; and a processor configured to acquire K values with N peaks, where K and N are integers; select J of the N peaks and include the J peaks in track, where J is an integer less than or equal to N; determine a metric using acquisition non-coherent summations (NCSs) and track NCSs of coherent correlations; determine to not abandon the measurement based on the metric; and form a measurement responsive to determining to not abandon.

Disclosed is a digital association and high precision positioning and tracking system for multimodal transport container, comprising a carrier terminal, a container terminal, and a remote digital monitoring platform; the carrier terminal is activated when the a container is in an associated state, and is used to collect high-precision positioning information and other status information of the container and send it to the remote digital monitoring platform; the container monitoring terminal is enabled when the container is in a non-associated state, and is used to collect container status information and send it to the remote digital monitoring platform; the remote digital monitoring platform is used to record and visualize relevant information; the carrier-container association and binding module sends instructions to the carrier terminal and the container monitoring terminal to complete the container-carrier association and unbinding, ensuring the security and positioning accuracy of the container during the multimodal transport process.

System and method for concurrently protecting Iridium and GPS L1/L2 band received satellite signals against interference signals (e.g., jamming signals) using space-time adaptive processing (STAP). While the GPS signal is protected against jamming using Nulling of the interfering signals, the Iridium signal is protected using Beamforming. A single broadband small controlled reception pattern antenna (sCRPA) array receives both the GPS (L1 and L2) and Iridium signals for the STAP-based antijam solutions outputting filtered Iridium and GPS signals. Use of a common (small) broadband antenna and common front end signal processing of the received signals enables an integrated system for use on size, weight, and power constrained platforms such as drones, unmanned aerial vehicles (UAVs), and helicopters.