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, a BER computation approach that circumvents the need for repeated numerical integration is proposed. First, a low-complexity BER approximation formula is selected, with unknown parameters to be determined. Second, this letter determines 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).

Low‐complexity BER computation for coherent detection of orthogonal signals

Rugini, L.
;
Baruffa, G.
2021

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, a BER computation approach that circumvents the need for repeated numerical integration is proposed. First, a low-complexity BER approximation formula is selected, with unknown parameters to be determined. Second, this letter determines 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).
2021
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11391/1497662
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