A signal processing apparatus and method provides the ability to dynamically select a subset of subcarriers from a received frequency division multiplex (FDM), select which subsets of subcarriers are coherently combined per satellite, and translate the selected subcarriers into a FDM having a smaller bandwidth. There are at least two first phase aligners, a digital cross-connect, and at least two second phase aligners. The first and second phase aligners are configured to receive a pair of in-phase and quadrature pairs and provide automatic gain control and coherent combing of the pairs. The digital cross-connect is configured to receive the in-phase and quadrature pairs from the two phase aligners and associate any in-phase and quadrature pair with another. Preferably, the apparatus further includes dual front-end digital channelizers configured to convert signals into an in-phase and quadrature pairs which are input to the first phase aligners.

A signal processing apparatus and method provides the ability to dynamically select a subset of subcarriers from a received frequency division multiplex (FDM), select which subsets of subcarriers are coherently combined per satellite, and translate the selected subcarriers into a FDM having a smaller bandwidth. There are at least two first phase aligners, a digital cross-connect, and at least two second phase aligners. The first and second phase aligners are configured to receive a pair of in-phase and quadrature pairs and provide automatic gain control and coherent combing of the pairs. The digital cross-connect is configured to receive the in-phase and quadrature pairs from the two phase aligners and associate any in-phase and quadrature pair with another. Preferably, the apparatus further includes dual front-end digital channelizers configured to convert signals into an in-phase and quadrature pairs which are input to the first phase aligners.

A method for gauging a track position uses a track gauging trolley (7) moved on the track. A gauging run is carried out with the track gauging trolley (7), a GPS antenna (8) and an RTK GPS receiver (11) that communicates with an RTK correction data service (RTK-KD), wherein at least one wheel (10) of the track gauging trolley (7) is pressed against a rail (4). Using boundary conditions such as constraint positions, constraint points and maximum permissible track position corrections, to avoid the disadvantages of the drifts of an inertial gauging system during long gauging runs and the only relative information on the track position, the position of the GPS antenna (8) with respect to a reference axis of the track (4, 10) is determined with the aid of a compensation scanner (6) and a computing unit (13), and the measured GPS coordinates are converted into Cartesian coordinates (Pi(xi, yi, zi)) recorded with the computing unit (13) as a spatial curve (3), from which the location image (1), from which a desired curvature image (ksoll) is calculated, and the longitudinal image (2), from which a desired longitudinal inclination image (Nsoll) is calculated, are formed. An inertial system (INS) is set up on the gauging trolley (7), with which inertial system a correction spatial curve of the same section is created, and recorded using the computing unit (13) and is used as a correction value for the GPS coordinates converted into Cartesian coordinates (Pi(xi, yi, zi)).

A method for gauging a track position uses a track gauging trolley (7) moved on the track. A gauging run is carried out with the track gauging trolley (7), a GPS antenna (8) and an RTK GPS receiver (11) that communicates with an RTK correction data service (RTK-KD), wherein at least one wheel (10) of the track gauging trolley (7) is pressed against a rail (4). Using boundary conditions such as constraint positions, constraint points and maximum permissible track position corrections, to avoid the disadvantages of the drifts of an inertial gauging system during long gauging runs and the only relative information on the track position, the position of the GPS antenna (8) with respect to a reference axis of the track (4, 10) is determined with the aid of a compensation scanner (6) and a computing unit (13), and the measured GPS coordinates are converted into Cartesian coordinates (Pi(xi, yi, zi)) recorded with the computing unit (13) as a spatial curve (3), from which the location image (1), from which a desired curvature image (ksoll) is calculated, and the longitudinal image (2), from which a desired longitudinal inclination image (Nsoll) is calculated, are formed. An inertial system (INS) is set up on the gauging trolley (7), with which inertial system a correction spatial curve of the same section is created, and recorded using the computing unit (13) and is used as a correction value for the GPS coordinates converted into Cartesian coordinates (Pi(xi, yi, zi)).

A mobile electronic device including: a movement detection sensor; a positioning module; a processor; and a memory, wherein the processor determines whether the device is moving on the basis of a first tentative determination result obtained by determining whether the device is moving based on a value obtained from the movement detection sensor as well as a second tentative determination result obtained by determining whether the device is moving based on positional information detected by the positioning module, and, upon determining that the device is moving, stores the positional information detected by the positioning module in the memory.

A mobile electronic device including: a movement detection sensor; a positioning module; a processor; and a memory, wherein the processor determines whether the device is moving on the basis of a first tentative determination result obtained by determining whether the device is moving based on a value obtained from the movement detection sensor as well as a second tentative determination result obtained by determining whether the device is moving based on positional information detected by the positioning module, and, upon determining that the device is moving, stores the positional information detected by the positioning module in the memory.

A heavy goods vehicle includes a displacement calculator that calculates a displacement by multiplying an arc length per unit rotation angle of the outer circumference of a specified tire by the first physical quantity, a vehicle position estimator that estimates a vehicle position using the displacement, and a memory that stores a correlation between a second physical quantity corresponding to a loading weight and an arc length per predetermined rotation angle at the outer circumference of the specified tire. The displacement calculator refers to the correlation to calculate a current arc length per unit rotation angle at the outer circumference of the specified tire from the second physical quantity corresponding to the loading weight, and calculates the displacement by multiplying the first physical quantity detected by the rotation amount detector by the current arc length per unit rotation angle.

A heavy goods vehicle includes a displacement calculator that calculates a displacement by multiplying an arc length per unit rotation angle of the outer circumference of a specified tire by the first physical quantity, a vehicle position estimator that estimates a vehicle position using the displacement, and a memory that stores a correlation between a second physical quantity corresponding to a loading weight and an arc length per predetermined rotation angle at the outer circumference of the specified tire. The displacement calculator refers to the correlation to calculate a current arc length per unit rotation angle at the outer circumference of the specified tire from the second physical quantity corresponding to the loading weight, and calculates the displacement by multiplying the first physical quantity detected by the rotation amount detector by the current arc length per unit rotation angle.

The present disclosure provides methods and systems for identifying or verifying trip information. A method for identifying or verifying a trip of a vehicle comprises detecting a presence of the vehicle with a mobile computing device of a user. The mobile computing device may be removable from the vehicle. Next, a trip start may be determined when the vehicle is detected by the mobile computing device as being present. Trip data may be recorded for a trip of the vehicle subsequent to the trip start, the trip data being based at least in part on sensor readings. A trip end that corresponds to an end of the trip of the vehicle may be detected and verified.

The present disclosure provides methods and systems for identifying or verifying trip information. A method for identifying or verifying a trip of a vehicle comprises detecting a presence of the vehicle with a mobile computing device of a user. The mobile computing device may be removable from the vehicle. Next, a trip start may be determined when the vehicle is detected by the mobile computing device as being present. Trip data may be recorded for a trip of the vehicle subsequent to the trip start, the trip data being based at least in part on sensor readings. A trip end that corresponds to an end of the trip of the vehicle may be detected and verified.