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A New Frame Synchronization Algorithm for Linear Periodic Channels With Memory
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DOI：10.1109/ACCESS.2020.3009131.png)
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摘要
En 中文
Identifying the start time of a sequence of symbols received at the receiver, commonly referred to as frame synchronization, is a critical task for achieving good performance in digital communications systems employing time-multiplexed transmission. In this work we focus on frame synchronization for linear channels with memory, in which the channel impulse response is periodic and the additive Gaussian noise is correlated and cyclostationary. Such channels appear in many communications scenarios, including narrowband power line communications and interference-limited wireless communications. We derive frame synchronization algorithms based on simplifications of the optimal likelihood-ratio test, assuming the channel impulse response is unknown at the receiver, which is applicable to many practical scenarios. The computational complexity of each of the derived algorithms is characterized, and a procedure for selecting nearly optimal synchronization sequences is proposed. The algorithms derived in this work achieve better performance than the noncoherent correlation detector, and, in fact, facilitate a controlled tradeoff between complexity and performance.
Keyword:
Synchronization
AWGN channels
Receivers
Binary phase shift keying
Detectors
Microsoft Windows
Correlation
Frame synchronization
cyclostationary signals
linear periodically time-varying channels
CMA equalizer
hypothesis testing
likelihood ratio test
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期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
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Sequential Frame Synchronization Based on Hypothesis Testing With Unknown Channel State Information
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