NASA has been studying on a new technique called "autonomous radio" for radio receiver since 2004. In an autonomous
radio operation setting, one of the first parameters that we would like to estimate reliably would be the data rate of the
received signal. Knowledge of this parameter is required to carry out maximum-likelihood (ML) detection of other
parameters, such as the carrier phase or modulation type. Although ML estimation of the data rate itself is statistically
optimal, given that there is little knowledge of the incoming signal, this approach is often difficult if not impossible to do
in practice. But if one factor of data rate is mitigated for autonomous radio, the estimation of the data rate can be done
jointly with that of the SNR. NASA has presented two algorithms: SSME and GLRT-Type SSME. The GLRT-Type
SSME outperforms SSME. In this work, we make a modification to GLRT-Type SSME. By simulating, it is shown that
the modified algorithm is able to outperform the SSME and GLRT-Type SSME.
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