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In their new paper, Mears and Wentz detail the revised RSS method to account for drift in the time of day at which satellites measure the same location on Earth (known as "diurnal drift", discussed by Mears at the 0 47 mark in the above video).
Step 2 Apply the RSS method on the n2 samples obtained in Step 1.
Thus, an RSS method would be enough to fulfill the location requirements depending on the requested accuracy.
Step 3 Reapply the RSS method again on the n samples obtained on Step 2 to obtain a sample of size n from the DRSS data.
Received signal strength (RSS) method uses the knowledge of the transmitter power, the path loss model, and the power of the received signal to determine the distance of the receiver from the transmitter [3].
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However, RSS methods accuracy is limited by the signal level fluctuations due to multipath contributions that occur in indoor scenarios.
RSS methods are widely used for localization as they are among the most inexpensive and less consuming [9, 15].
Apart from being technically less complex (and hence, less expensive), another advantage of RSS methods with respect to ToF ones is the possibility of using existing wireless infrastructures, for example, WLAN access points [5, 6].
ToF methods include: time-of-arrival (ToA), time-difference-of-arrival (TDoA), (b) angle-of-arrival (AoA) techniques, where the position is estimated by means of the knowledge of the direction of arrival of the signal in the receivers, (c) received signal strength (RSS) methods, which are founded on the decay law of the received signal versus the distance. .
ToF methods include: time-of-arrival (ToA), time-difference-of-arrival (TDoA), angle-of-arrival (AoA) techniques, where the position is estimated by means of the knowledge of the direction of arrival of the signal in the receivers, received signal strength (RSS) methods, which are founded on the decay law of the received signal versus the distance.
Comparing (14) and (38) shows that covariance of location estimation using cognitive RSS-WLS method is equal to CRLB.
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