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We demonstrate some methods to improve the correlation performance and signal-to-noise ratio (SNR) of chaos correlation OTDR. By inserting a fiber ring resonator in the external cavity of laser diode with optical feedback, we optimize the chaotic laser source to eliminate the high side-lobe corresponding to the length of external cavity. The side-lobe noise of correlation trace induced by the randomness...
In this paper, the author proposed the concept of incomplete and fuzzy information systems based on incomplete approximation spaces and fuzzy sets, and analyzed the approximate class-precision and boundary in rough set systemically, via introducing the thought of inner & outer boundaries and inner & outer approximate definable sets combining rough set with fuzzy set, variable precision theory,...
On automatic modulation there are two approaches, decision-theoretic and statistical pattern. An automatic modulation recognition system to recognize four digital signal classes as: MASK, MFSK, MPSK, MQAM is proposed in this paper, which using decision-theoretic based feature set addition to statistical pattern based feature set with VLBP(variable learning rate back-propagation)BP neural network and...
Automatic modulation recognition of modulation signals is the key problem in non-cooperative communication systems. The method which combines the rough set theory and the neural network is designed for identifying the six modulation types based on the research on the feature set of digital modulation recognition. Simulation results show that the new method simplifies the structure of neural networks...
This paper proposed a new blind equalization algorithm based on Cyclostationarity. Firstly analyzed the received signal processed by fractional sample, and then presented the novel algorithm based on second order statistics (SOS) and MMSE criterion. The advantage of this algorithm is less complexity than the traditional algorithms, and it's antinoise performance is better than the traditional equalizer...
The modulation recognition technology of communication signals has been an important theme of wireless communication. Based on the parameters abstraction of time domain statistical feature and fractal feature, the feature vector samples is formed. The artificial neural network is the research hot spots of pattern recognition. An artificial neural network is proposed for an automatic recognition of...
A kind of Lagrange principle of optimizing neural network is sketched in the paper, it has overcome the traditional defect based on that the neural network which punish function thought exists deal with inequality restraint directly reduce network size and complexity a kind of new optimization neural network Based on the Lagrange neural network, proposed a kind of blind multi-user detection algorithm,...
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