Maximum Likelihood Timing Recovery for Digitally Modulated Burst Signals with Sampling Frequency and Delay Offset
| Autor: | Somayeh Bazin, Mohaddeseh Akbari, Mohammad Hossein Abbasi Esbourezi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Burst transmission
Offset (computer science) Matched filter Maximum likelihood 05 social sciences 050801 communication & media studies 020206 networking & telecommunications 02 engineering and technology Linear variation symbols.namesake 0508 media and communications Additive white Gaussian noise Sampling frequency offset 0202 electrical engineering electronic engineering information engineering Bit error rate symbols Algorithm Mathematics |
| Zdroj: | 2020 28th Iranian Conference on Electrical Engineering (ICEE). |
| DOI: | 10.1109/icee50131.2020.9260776 |
| Popis: | In this paper we investigate the problem of timing synchronization for a linearly modulated burst transmission scheme. It has been assumed that there is a linear variation in symbols' timing offset, which is caused by sampling frequency offset. Moreover, passing through an Additive White Gaussian Noise (AWGN) channel, corrupts the received burst signal and exerts a fixed timing offset to the transmitted sequence. Unlike classical techniques that the timing offset is assumed to vary slowly with time and, therefore, it is considered as a constant parameter over the entire burst, the more challenging problem is addressed in this contribution where timing offset variation from symbol to symbol is not negligible. A unified gradient-based optimization algorithm to estimate both the sampling frequency and delay offset is presented that iteratively converge to the Maximum Likelihood (ML) estimation. Bit Error Rate (BER) Simulation results are derived and compared with perfect synchronization. The results confirm the system's efficiency. |
| Databáze: | OpenAIRE |
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