Abstract
A growing set of environmental sensing applications use received signal strength measurements of a static wireless network for unobtrusive monitoring purposes. The success of these systems, which typically process low-amplitude signals, depend strongly on the distribution of the measurements when there are no changes in the channel. In this letter, a statistical model for signal strength measurements acquired when the environment is static is studied. As previously empirically verified, it is shown that the measurements have log-normal distribution even in idealistic environments, which cannot be explained using log-normal shadow fading arguments. Quantization and round-off errors induced by different measurement system components are also considered, and their impact are analyzed. As a result, it is shown that the logarithmic received signal strength measurements under static channel conditions are samples from stationary Gaussian process independent of the environment.
| Original language | English |
|---|---|
| Article number | 7829259 |
| Pages (from-to) | 367-371 |
| Number of pages | 5 |
| Journal | IEEE Signal Processing Letters |
| Volume | 24 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 1 Apr 2017 |
| MoE publication type | A1 Journal article-refereed |
Keywords
- Received signal strength (RSS) distribution
- received signal strength model
- RF sensor networks
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