Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  investigate the fundamental loss of ranging resolution using received signal strength indicator (RSSI) observations relative to unprocessed received signal (URS) measurements. Unlike previous work, this is done for a single propagation model that accounts for large-scale (log-normal) fading and small-scale (multipath) fading effects. Further, this contribution fully accounts for the temporal correlation of the log-normal attenuation and the multipath channel, which previous work has ignored. Cramer Rao bounds on the estimates of range give us a complete description of the effects of data reduction (through RSSI observations), multipath, and random attenuation on the estimates of range.
['Frantz Bouchereau', 'David J. Brady']
I am writing a research paper on a idea Bounds on range-resolution degradation using RSSI measurements
[{"from": "human", "value": "I am writing a research paper on a idea Bounds on range-resolution degradation using RSSI measurements"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  investigate the fundamental loss of ranging resolution using received signal strength indicator (RSSI) observations relative to unprocessed received signal (URS) measurements. Unlike previous work, this is done for a single propagation model that accounts for large-scale (log-normal) fading and small-scale (multipath) fading effects. Further, this contribution fully accounts for the temporal correlation of the log-normal attenuation and the multipath channel, which previous work has ignored. Cramer Rao bounds on the estimates of range give us a complete description of the effects of data reduction (through RSSI observations), multipath, and random attenuation on the estimates of range."}]