Name
Abstract | ||
|---|---|---|
Signal strength based localization methods are of great interest due to their low cost and simple implementation. In this letter, a received signal strength difference (RSSD) based approach is presented to localize a source with unknown transmit power. A robust two stage estimator is proposed. First, an RSSD based optimization problem is formulated in the presence of Gaussian mixture measurement noise based on Huber's minimax model. This yields a nonlinear problem which can be approximated by Taylor series expansion. Then, a robust recursive least squares (RRLS) method is developed to provide a robust solution of the approximated problem. The corresponding Cramér-Rao lower bound (CRLB) for correlated Gaussian mixture noise is also derived as a performance benchmark. Results are presented which show that the RRLS method attains the CRLB for a sufficiently large signal to noise ratio (SNR). |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/LCOMM.2020.3007191 | IEEE Communications Letters |
Keywords | DocType | Volume |
Gaussian mixture noise,received signal strength difference (RSSD),robust recursive least squares (RRLS) | Journal | 24 |
Issue | ISSN | Citations |
11 | 1089-7798 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hannan Lohrasbipeydeh | 1 | 13 | 4.85 |
| T. Aaron Gulliver | 2 | 19 | 5.98 |