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However, users requiring more precise location would find the inability of the highest signal strength technique to isolate the location of a mobile device with finer granularity than that of an entire coverage cell to be a serious limitation.

These users are better served by those approaches using the techniques of lateration, angulation, and location patterning that provide finer resolution and improved accuracy.

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To A tri-lateration makes use of three sensors to allow the mobile device location to be resolved with improved accuracy. The amount of time required for a message transmitted from station X to arrive at receiving sensors A, B, and C is precisely measured as t A, t B, and t C.

Given a known propagation velocity (stated as c), the mobile device distance from each of these three receiving sensors can then be calculated as DA, DB, and DC, respectively.

The intersection of the three circular plots resolves the location of station X as illustrated in .

In some cases, there may be more than one possible solution for the location of mobile device station X, even when using three remote sensors to perform tri-lateration.

The popularity of this approach is such that it is often not unusual to hear arguments supporting the case for a fifth category that encompasses RTLS offerings that sense and measure position using a combination of at least two of these methods.

Keep in mind that regardless of the underlying positioning technology, the "real-time" nature of an RTLS is only as real-time as its most current timestamps, signal strength readings, or angle-of-incidence measurements.

Figure 2-1 Cell of Origin In its simplest form, this technique makes no explicit attempt to resolve the position of the mobile device beyond indicating the cell with which the mobile device is (or has been) registered.

When applied to 802.11 systems, this technique tracks the cell to which a mobile device associates.

Because signals travel with a known velocity (approximately the speed of light (c) or ~300 meters per microsecond), the distance between the mobile device and each receiving sensor can be determined from the elapsed propagation time of the signal traveling between them.

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