Blind symbol rate detection for low-complexity multi-rate receivers

In this contribution we investigate the performance of two novel symbol rate detectors when applied to a sub-optimal low-complexity multi-rate receiver. From the maximum likelihood (ML) criterion, two blind rate detection algorithms are derived and modified to operate on said low-complexity receiver. We compare these algorithms with a cyclic correlation-based scheme from literature in terms of their rate detection error probability. The proposed ML-based algorithms turn out to significantly outperform the correlation-based algorithm, both for a conventional receiver and the low-complexity receiver.