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Low-Complexity BER Computation for Coherent Detection of Orthogonal Signals
| Publication type | Journal paper |
|---|---|
| Year of publication | 2021 |
| Authors | Luca Rugini and Giuseppe Baruffa |
| Title | Low-Complexity BER Computation for Coherent Detection of Orthogonal Signals |
| Journal title | Electronics Letters |
| Volume | 57 |
| Issue | 12 |
| Pages | 496–498 |
| Editor | |
| Publisher | Wiley |
| Date | June 2021 |
| Place | |
| ISSN number | 1350-911X |
| ISBN number | |
| Key words | |
| Abstract | The bit error rate (BER) computation for coherently detected orthogonal signals in additive white Gaussian noise requires numerical integration, which can be cumbersome in low-complexity devices. Here we propose a BER computation approach that circumvents the need for repeated numerical integration. First, we select a low-complexity BER approximation formula, with unknown parameters to be determined. Second, we determine the unknown parameters by fitting the BER approximation to a few BER values known in advance. The BER comparison with the exact results shows that the accuracy of the proposed low-complexity approach is satisfactory for several constellation sizes of interest. This enables the possibility of BER self-computation in low-complexity devices that use orthogonal signals, like those used in the Internet of Things (IoT). |
| URL | https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ell2.12163 |
| DOI | http://dx.doi.org/10.1049/ell2.12163 |
| Other information | |
| Paper |  (portable document format, 372350 Bytes) |