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In this paper, an efficient preamble designed for the burst mode continuous phase modulation (CPM) signals is proposed. The innovative preamble is based on the combination of a single tone signal and a unique CPM signal. Like the preamble adopted in MIL-188-181B standard, the proposed preamble can estimate the carrier frequency and phase offset, and acquire the symbol timing and frame synchronization...
The symbol timing synchronization inaccuracy can bring about phase offset (FO), inter-symbol interference (ISI) and inter-channel interference (ICI). To overcome these shortcomings as much as possible, in this paper, a novel symbol timing synchronizer is proposed for orthogonal frequency division multiplexing (OFDM) systems based on the properties of PN sequences. It is demonstrated by the computer...
Correct estimation of symbol timing, Carrier Frequency Offset (CFO), and Signal-to-Noise Ratio (SNR) is crucial in Orthogonal Frequency Division Multiplexing (OFDM) communication. Typically, high estimation accuracy is desired, but often comes with increased complexity. Which has a direct repercussion in energy consumption. In this article, an architecture based on Sign-Bit estimation with low complexity,...
In some OFDM systems, time domain CP (cyclic prefix) and scattered pilots are used for synchronization and channel estimation. While in novel OFDM broadcasting systems, such as China Digital Terrestrial Multimedia Broadcasting Standard (DTMB), PN sequences rather than cyclic prefixes are inserted as guard interval between N-point IFFT blocks, which are also used as training symbols. This paper proposed...
In this paper, we address the problem of orthogonal frequency-division multiplexing (OFDM) channel estimation in the presence of phase noise (PHN) and carrier frequency offset (CFO). In OFDM systems, PHN and CFO cause two effects: the common phase error (CPE) and the intercarrier interference (ICI) which severely degrade the accuracy of the channel estimate. In literature, several algorithms have...
Three applications in wireless networks where model-free stochastic learning is applicable, are discussed. The learning based optimization problems are formulated and simulation results are presented. Some open issues are also discussed.
Effects of improved channel estimation are studied for a proposed IEEE 802.11n OFDM MIMO system. Three channel estimation methods are considered: maximum likelihood (ML), time-domain truncation (TDT) and model-based (MB). TDT and MB are particularly useful when the channel delay spread is short. For an MMSE receiver, MB shows a 1-2.5 dB improvement over ML on the packet error rate performance for...
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