Abstract
As a continuous antenna, the leaky coaxial cable (LCX) is widely used in wireless communication of closed or semi-closed areas such as the subway, mine, tunnel, etc. Usually, LCX networks are required in coal mines. Its channel characteristics are of great significance to mobile communication and mine safety. This paper presents an effective channel modeling and optimization method that combines the state transition and the particle swarm optimization (PSO) algorithms for the LCX network. First, a channel model can be established with a few parameters based on the state transition method, which can describe the complex transfer function of the LCX network; then, taking the transfer characteristics of the LCX network as the optimization objective, which should be consistent with the measured results. And the established objective function is optimized and designed with the PSO algorithm. Finally, the proposed method is validated by comparing the measured results and the model-based simulations on two test LCX networks. The experimental results show that the absolute error between the proposed model and the measurement model is less than that of other models at any frequency point. The proposed model can accurately obtain all responses between point-to-point channels at one time. It will help to accurately obtain the performance of different LCX networks and help to detect and locate faults in future studies.
Highlights
The rapid development of wireless communication technology has greatly promoted the exchange and sharing of information, which has been widely used in various fields [1,2,3,4,5]
6.CONCLUSIONS This paper described a feasible method for calculating the transfer function of leaky coaxial cable (LCX) network
This proposed approach uses only a few parameters based on state transition method to establish the channel model of LCX network and carry on particle swarm optimization (PSO) algorithm to the above model
Summary
The rapid development of wireless communication technology has greatly promoted the exchange and sharing of information, which has been widely used in various fields [1,2,3,4,5]. For multi-port coaxial cable network, a channel modeling method based on S-parameter matrix is proposed in [20]. This method can calculate the transfer characteristics of the whole network only by measuring the S-parameter matrix of each device and the connection of all devices. A channel modeling method for coaxial cable network based on state transition matrix is proposed in [21] This method can obtain transfer functions between any points at the same time. A vector network analyzer (VNA) can be used to measure a certain length of LCX to obtain its transfer characteristic curve, and the above parameters can be obtained from Equation (7) based on the least-square fitting method. The S parameters of the internal nodes R1 and R2 are shown in Figures 4 and 5, respectively
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