Asynchronous wireless communication system
The invention relates to an asynchronous wireless communication system, such as a UMTS system. The various base stations of an asynchronous wireless communication system do not typically have known timing offsets Tb(i), and these timing offsets vary with time. The invention allows the calculation of the difference dTb(i,j) between timing offsets Tb(i), Tb(j) for pairs of base stations B(i), B(j), using the timing of signals received by one or more wireless communication units. Having eliminated the timing offsets between the base stations as a variable, geo-location techniques from synchronous networks may then be used to locate wireless communication units in the asynchronous wireless communication system.
1. A method comprising:
deriving, by a wireless communication unit, a first probability density function for a first range of potential locations of the wireless communication unit;
deriving, by the wireless communication unit, a second probability density function for a second range of potential locations of the wireless communication unit;
using, by the wireless communication unit, the first probability density function and the second probability density function to determine a measure of confidence associated with a third probability density function,
third probability density function being based on the first probability density function and the second probability density function,
the measure of confidence occurring at a point where the first probability density function and the second probability density function intersect, and
the measure of confidence occurring at a point where a first antenna and a second antenna point; and
transmitting, by the wireless communication unit, information associated with the measure of confidence.
2. The method of claim 1 , where the first probability density function is used to derive first probability information that is represented as two contours of probability of locating the wireless communication unit.
3. The method of claim 1 , where the second probability density function is used to derive second probability information that is represented as a plurality of hyperbolas of probability of locating the wireless communication unit.
4. The method of claim 1 , where the first probability density function is derived based on first measurement distance information.
5. The method of claim 1 , where the second probability density function is derived based on second measurement distance information.
6. The method of claim 1 , further comprising:
identifying another point associated with where the first antenna and the second antenna do not point; and
disregarding the other point when determining the measure of confidence.
7. The method of claim 1 , where the wireless communication unit is a mobile telephone.
8. A system comprising:
one or more devices configured to:
derive a first probability density function for a first range of potential locations of a wireless communication unit;
derive a second probability density function for a second range of potential locations of the wireless communication unit;
use the first probability density function and the second probability density function to determine a measure of confidence associated with a third probability density function,
third probability density function being based on the first probability density function and the second probability density function,
the measure of confidence occurring at a point where the first probability density function and the second probability density function intersect, and
the measure of confidence occurring at a point where a first antenna and a second antenna point; and
transmit information associated with the measure of confidence.
9. The system of claim 8 , where the first probability density function is used to derive first probability information that is represented as two contours of probability of locating the wireless communication unit.
10. The system of claim 8 , where the second probability density function is used to derive second probability information that is represented as a plurality of hyperbolas of probability of locating the wireless communication unit.
11. The system of claim 8 , where the first probability density function is derived based on first measurement distance information.
12. The system of claim 8 , where the second probability density function is derived based on second measurement distance information.
13. The system of claim 8 , where the one or more devices are further configured to:
identify another point associated with where the first antenna and the second antenna do not point; and
disregard the other point when determining the measure of confidence.
14. The system of claim 8 , where the wireless communication unit is a mobile telephone.
15. A non-transitory computer-readable medium storing instructions, the instructions comprising:
one or more instructions that, when executed by one or more devices, cause the one or more devices to:
derive a first probability density function for a first range of potential locations of a wireless communication unit;
derive a second probability density function for a second range of potential locations of the wireless communication unit;
use the first probability density function and the second probability density function to determine a measure of confidence associated with a third probability density function,
third probability density function being based on the first probability density function and the second probability density function,
the measure of confidence occurring at a point where the first probability density function and the second probability density function intersect, and
the measure of confidence occurring at a point where a first antenna and a second antenna point; and
transmit information associated with the measure of confidence.
16. The non-transitory computer-readable medium of claim 15 , where the first probability density function is used to derive first probability information that is represented as two contours of probability of locating the wireless communication unit.
17. The non-transitory computer-readable medium of claim 15 , where the second probability density function is used to derive second probability information that is represented as a plurality of hyperbolas of probability of locating the wireless communication unit.
18. The non-transitory computer-readable medium of claim 15 , where the first probability density function is derived based on first measurement distance information.
19. The non-transitory computer-readable medium of claim 15 , where the second probability density function is derived based on second measurement distance information.
20. The non-transitory computer-readable medium of claim 15 , where the one or more devices are further configured to:
identify another point associated with where the first antenna and the second antenna do not point; and
disregard the other point when determining the measure of confidence.