Gou Xiantai

Modeling and simulation of small satellite constellation networking using multi-topology routing

Multi-topology routing is proposed to address the issues of fault-tolerance and routing optimization in small satellite constellation networking. This simulation model and routing protocol have been designed using STK and OPNET. The results of simulation experiments verify the fault-tolerance and resilience of the multi-topology routing algorithm, and optimal routes based on different topologies can be selected for various traffic flows.

Reverse analysis of measurement and control protocol based on the monitoring state data for unmanned platform

In allusion to the communication security problem of measurement and control data on unmanned platform, a reverse analysis model of measurement and control protocol is proposed. The model adopts the data mining method to analyze the protocol format and semantic information in the message. Mainly adopts the improved BF algorithm and the AP algorithm to carry on the pattern string matching and the association rule extracting to obtain the preliminary format of protocol message; the improved SW algorithm in sequence alignment technique is adopted to analyze the format and semantic information in combination with the monitoring state data. Simulation experiments are carried out to simulate the experimental data of the protocol reverse analysis, including the communication data on unmanned platform and base station and radar monitoring status data. The simulation results of reverse analysis show a higher resolution rate of protocol format and semantic parsing.

Intention recognition of aerial targets based on Bayesian optimization algorithm

A Bayesian network optimization algorithm is proposed for the problem of combat intention identification of aerial group targets. The external characteristics of the data link of the targets group are extracted as the network nodes. Then the initial Bayesian network model is established with the network nodes and conditional probability tables. Simulating to get the sample data set, and evaluation of the network is made with the BIC measure. With this data set, the original prediction model is optimized using the method of Bayesian optimization algorithm. The new models BIC score is lower than the original one which means the former is more matching with the dataset than the latter. Multiple sample sets of different quantities are tested and every test obtains a lower BIC score compared to the original model. The effectiveness of the optimization method is indicated.

The design of electric power wireless broadband network traffic carrying capacity test system

The paper proposes a plan of the distribution network communication test system based on MCWILL system, and realizes the design of business communication simulation module and carries capacity test module. A power communication business test system is successfully designed.The system introduces the concept of business success rate, which is used to evaluate the overall performance of the network, and analyses the data goodput, delay, packet loss rate, and retransmission rate of power business in the broadband wireless communication network. Whats more , the system introduces adjustable background current to change the test pressure of the network, by comparing the performance metrics from different pressure environment. The system can judge whether the wireless communication system can meet the requirements of power business data communications.

The methods of electric power dedicated broadband wireless network traffic load capacity test system

An electric power dedicated broadband wireless network traffic load capacity test and evaluation method is designed, which will be used for the performance test and evaluation of grid wireless communication network. This method can be used in the actual broadband wireless communication network, to count and analyze the data goodhput, delay, packet loss rate, and retransmission rate performance of power business in the broadband wireless communication network. The capacity performance of broadband wireless communication system can be evaluated, then it can judge whether the wireless communication system can meet the requirements of power business data communications.

A Novel Tool of Measuring Fractal Dimension or Complexity

The fractal dimension or complexity of physiological signal is calculated with a novel tool, dot counting dimension (DCD) in this paper. The definition and algorithm of DCD are given out. DCD of nine arrhythmia records are calculated and linear result of DCD is achieved. The algorithm of DCD is useful for processing physiological signal because of its implementing easy with less calculation, and fast calculation velocity, and the algorithm of DCD does not need too much more data for achieving convergence.