Geolocation Bounds for Received Signal Strength (RSS) in Correlated Shadow Fading

Cramer-Rao bounds for geolocation based on Received Signal Strength have previously been studied under a Log Normal fading model. This paper develops new bounds under several different assumptions to identify the most promising scenarios. We find the CRLB under a spatially Correlated Log Normal (CLN) model. We derive a new bound for a Relative Received Signal Strength (RRSS) technique based on power ratios. Finally, for moving receivers, we model data collection over a time window where multiple independent fading instantiations are observed. Results show that RSS location accuracy improves significantly (25%) in realistic fading correlation, and more under stronger correlation. We prove that RRSS geolocation is no better than RSS in CLN fading. For moving users, processing a time window of 20 samples reduced location error by up to a factor of 4.