Claims Analysis
Total Claims: 20
Claim 1
Independent Claim
126 words
A process for determining the position of a moving object comprising: acquiring scalar measurements by a set of sensors capable of movement during said process and adapted to transmit their positions at each of a plurality of instants; estimating a trajectory of the object by a model; combining the measurements output from each sensor to obtain spatial gradient measurements representative of the vector magnetic disturbance of the moving object; estimating a vector of parameters characteristic of the model as a function of gradient measurements and as a function of the position of the sensors; and determining the position of the object as a function of the position of the sensors and the parameters vector; wherein the sensors are all installed at substantially the same physical location.
Claim 2
Dependent Claim
126 words
A process for determining the position of a moving object comprising: acquiring scalar measurements by a set of sensors capable of movement during said process and adapted to transmit their positions at each of a plurality of instants; estimating a trajectory of the object by a model; combining the measurements output from each sensor to obtain spatial gradient measurements representative of the vector magnetic disturbance of the moving object; estimating a vector of parameters characteristic of the model as a function of gradient measurements and as a function of the position of the sensors; and determining the position of the object as a function of the position of the sensors and the parameters vector; wherein the sensors are all installed at substantially the same physical location.
Claim 3
Dependent Claim
75 words
A process according to claim 1 , further comprising modeling the movement of the object based on a uniform movement along a straight line, the parameters vector being (θ, r/v, v′/v), where θ is the azimuth of the object at a reference instant taken with respect to the North direction, r is the source/sensor distance at the same reference instant, v′ is the speed of the object, and v is the modulus of the speed.
Claim 4
Dependent Claim
17 words
A process according to claim 1 , further comprising using magnetic measurements in combination with acoustic measurements.
Claim 5
Dependent Claim
19 words
A process according to claim 1 , further comprising using electromagnetic measurements output from scalar magnetometers used in gradientmeters.
Claim 6
Dependent Claim
37 words
A process according to claim 1 , further comprising estimating the parameters vector using an algorithm that maximizes the probability of the tracking parameters vector or state vector with respect to the probability distribution of measurement noise.
Claim 7
Dependent Claim
42 words
A process according to claim 5 , further comprising using minimization algorithms to minimize the error between the measured signals and the signals reconstructed with the model used to approximate the trajectory of the object when the measurement noise is approximately gaussian.
Claim 8
Dependent Claim
154 words
A process for determining the position of a moving object comprising: acquiring scalar measurements by a set of sensors capable of movement during said process and adapted to transmit their positions at each of a plurality of instants; estimating a trajectory of the object by a model; combining the measurements output from each sensor to obtain spatial gradient measurements representative of the vector magnetic disturbance of the moving object; estimating a vector of parameters characteristic of the model as a function of gradient measurements and as a function of the position of the sensors; and determining the position of the object as a function of the position of the sensors and the parameters vector; wherein the sensors are all installed at substantially the same physical location; and further comprising using together an azimuth method and a Doppler phenomenon observed in the case of sources radiating a narrow band signal around a stable central frequency.
Claim 9
Dependent Claim
154 words
A process for determining the position of a moving object comprising: acquiring scalar measurements by a set of sensors capable of movement during said process and adapted to transmit their positions at each of a plurality of instants; estimating a trajectory of the object by a model; combining the measurements output from each sensor to obtain spatial gradient measurements representative of the vector magnetic disturbance of the moving object; estimating a vector of parameters characteristic of the model as a function of gradient measurements and as a function of the position of the sensors; and determining the position of the object as a function of the position of the sensors and the parameters vector; wherein the sensors are all installed at substantially the same physical location; and further comprising using together an azimuth method and a Doppler phenomenon observed in the case of sources radiating a narrow band signal around a stable central frequency.
Claim 10
Dependent Claim
17 words
A process according to claim 5 , wherein at least one sensor is moved during said process.
Claim 11
Dependent Claim
17 words
A process according to claim 1 , wherein the speed of vehicles is counted, classified and estimated.
Claim 12
Dependent Claim
15 words
A process according to claim 1 , wherein said process is used for submarine surveillance.
Claim 13
Dependent Claim
75 words
A process according to claim 7 , further comprising modeling the movement of the object based on a uniform movement along a straight line, the parameters vector being (θ, r/v, v′/v), where θ is the azimuth of the object at a reference instant taken with respect to the North direction, r is the source/sensor distance at the same reference instant, v′ is the speed of the object, and v is the modulus of the speed.
Claim 14
Dependent Claim
17 words
A process according to claim 7 , further comprising using magnetic measurements in combination with acoustic measurements.
Claim 15
Dependent Claim
19 words
A process according to claim 7 , further comprising using electromagnetic measurements output from scalar magnetometers used in gradientmeters.
Claim 16
Dependent Claim
37 words
A process according to claim 7 , further comprising estimating the parameters vector using an algorithm that maximizes the probability of the tracking parameters vector or state vector with respect to the probability distribution of measurement noise.
Claim 17
Dependent Claim
42 words
A process according to claim 14 , further comprising using minimization algorithms to minimize the error between the measured signals and the signals reconstructed with the model used to approximate the trajectory of the object when the measurement noise is approximately gaussian.
Claim 18
Dependent Claim
17 words
A process according to claim 14 , wherein at least one sensor is moved during said process.
Claim 19
Dependent Claim
17 words
A process according to claim 7 , wherein the speed of vehicles is counted, classified and estimated.
Claim 20
Dependent Claim
15 words
A process according to claim 7 , wherein said process is used for submarine surveillance.