In order to solve the contradiction between wireless communication service demand and spectrum resource shortage and enhance the utilization rate of spectrum, Cognitive Radio technology is necessary. Firstly, this pap...
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In order to solve the contradiction between wireless communication service demand and spectrum resource shortage and enhance the utilization rate of spectrum, Cognitive Radio technology is necessary. Firstly, this paper presents a cognitive engine framework structure, and then the concept of bio-inspired and its application in CR computing were emphatically introduced. Finally, in order to solve spectrum parameters problem, this paper proposed based on autonomously search algorithm. Based on population evolution,ASA algorithm employs the foraging, reproduction, selection and mutation operators, and was tested under the multicarrier simulation environment. The experiment results show that ASA algorithm can better adjust each subcarrier communication parameters according to the requirement of cognitive engine parameters optimization, which include transmitted power,modulation mode, and bit-error-rate and so on, and finally satisfy the channel condition and the dynamic changes of the user service.
In this paper, the control design problem for linear systems subject to actuator saturations is considered. A fuzzy gain-scheduling output feedback controller is proposed to guarantee the stability of the closed-loop ...
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In this paper, the control design problem for linear systems subject to actuator saturations is considered. A fuzzy gain-scheduling output feedback controller is proposed to guarantee the stability of the closed-loop system as well as providing disturbance/error attenuation measured in L2 norm. The synthesis condition is cast as a convex optimization problem in terms of linear matrix inequalities (LMIs) and can be solved efficiently. The ball-beam system is used to demonstrate the proposed saturation control approach.
The marine diesel engine has the important function to guarantee the marine security and reliability. It is a strong coupling relationship's system with multi-fault attributes. In this paper an advanced method of ...
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The marine diesel engine is a complex system. Its mapping process of fault diagnosis has multi-fault attributes, which means input and output of fault pattern attribute are the multi-mapping relations. An approach of ...
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The marine diesel engine is a complex system. Its mapping process of fault diagnosis has multi-fault attributes, which means input and output of fault pattern attribute are the multi-mapping relations. An approach of intelligent fault diagnosis using fuzzy neural networks and genetic algorithms to optimize and train is studied in this paper for this system. The structure and the model of intelligent fault diagnosis made up of fuzzy neural network were introduced. Its weight and the threshold value optimized and trained by the genetic algorithm are presented. Finally, this fuzzy neural network system optimized and trained by genetic algorithm was applied to the fault diagnosis of the marine diesel engine. The simulation showed feasibility and validity of this method. The precision of fault diagnosis can be improved effectively, and the generation capacity of the intelligent fault diagnosis system and the accurate knowledge expression are enhanced.
For fault diagnosis, signal singularity and irregularity discontinuity fraction are very significant characteristics of signal. The discontinuity of output signal represents a system fault . In an angular measuring sy...
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For fault diagnosis, signal singularity and irregularity discontinuity fraction are very significant characteristics of signal. The discontinuity of output signal represents a system fault . In an angular measuring system, function transformer uses two D/A convertors, output circuit fault of a D/A convertor brings about discontinuity of one phase input voltage amplitude of inductosyn, results in a system error exceeding the allowable error and reduces the system accuracy. This is the reason why discontinuity is detected. Fourier transform has no resolution ability in angular domain, but wavelet can analyse signal in angular and frequency domains. So we decompose the error signal of angular measuring system by wavelet, detect the signal singularity at high frequency layer and find out the accurate position of it.
作者：
PIETROBON, SSKASPARIAN, JJGRAY, PKAustralian Space Centre for Signal Processing
University of South Australia Warrendi Road The Levels SA 5095 Australia Born in Naracoorte
SA on 5 October 1963. He received the B. Eng. and M. Eng. degrees in electronic engineering from the South Australian Institute of Technology (SAIT now University of South Australia) Adelaide SA in 1986 and 1989 respectively and the Ph.D. degree in electrical engineering from the University of Notre Dame Notre Dame Indiana USA. in 1991. He received a SAIT Medal for outstanding academic achievement for his B. Eng. degree. n 1991 he joined the Australian Space Centre for Signal Processing University of South Australia as a Research Fellow. In 1993 he was awarded a three-year Australian Postdoctoral Research Fellowship at the University of South Australia. His research interests include convolutional coding trellis coded modulation satellite and deep space communications and implementation of Viterbi and trellis decoders. Dr. Pietrobon has been a member of the IEEE since 1986. He belongs to the Information Theory Society and Communications Society. Born in Mount Gambier
SA on 30 January 1962. He received the B. Eng. degree in electronic engineering from the South Australian Institute of Technology (SAIT now University of South Australia) Adelaide SA in 1990. He received a SAIT medal for outstanding academic achievement for his degree. In 1991 he received an Australian Postgraduate Research Award with the Australian Space Centre for Signal Processing University of South Australia where he is carrying out research in the area of error control coding in satellite Systems. Particular interests are in the areas of Viterbi decoding and design and implementation of high speed codecs for satellite applications. Mr. Kasparian has been a student member of the IEEE since 1990. He belongs to the Information Theory Society and Communications Society. Born in Adelaide
SA on 23 February 1965. He received the. B. Eng. and M. Eng. degrees in electronic engineering from th
An implementation of a 16 state, rate 8/9 six-dimensional (6-D) 8PSK rotationally invariant trellis decoder for use in a concatenated codec is described. The concatenated codec allows transmission of STM-1 signals (at...
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An implementation of a 16 state, rate 8/9 six-dimensional (6-D) 8PSK rotationally invariant trellis decoder for use in a concatenated codec is described. The concatenated codec allows transmission of STM-1 signals (at the 155.52 Mb/s information rate) over a 72 MHz satellite transponder. The inner trellis decoder is used with an outer (255,239) RS block decoder. The trellis decoder operates at 165.93 Mb/s and currently has an implementation loss of only 0.2 dB. The concatenated codec achieves a bit error ratio of 10(-10) at an E(b)/N-0 of 8.2 dB (assuming an ideal modem and AWGN channel). Details are given of many Viterbi decoding 'tricks' that were used in order to implement the main functions of the decoder on two 10,000 gate equivalent CMOS programmable gate arrays.
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