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This paper investigates non-data-aided (NDA) SNR estimation for envelope-based QAM transmission. It proposes a new technique to estimate the signal-to-noise ratio (SNR) using the well-known moment-based M<inf>2</inf> M<inf>4</inf> M<inf>6</inf> method over the flat-fading channel. This is a non-data-aided, envelope-based estimator that can be applied to(More)
To overcome the limitations of the traditional dual mixer time difference methods, a digital frequency measurement method is proposed in this paper, and a novel frequency standard comparator is developed which bases on dual CPU. For 10 MHz frequency standard, the background noise of the system is better than 1E-12/1s. By virtue of the introductions of the(More)
This paper considers signal-to-noise ratio (SNR) estimation in transmission systems with an iteratively decodable low-density parity-check (LDPC) code by means of the expectation-maximization (EM) algorithm. We present a simplified version of the code-aided (CA) estimation algorithm by introducing the embedded estimation technique to reduce the(More)
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