Technology Research And Implement Of Redundant Communication System In Complex Environments

With the development of age, advance of technology, the requirements of the communication quality in all sectors are increasingly high, especially in complex environments and the future high-tech warfare put information warfare as the core, the communication system as a core part,its status and role are increasingly prominent. Accelerating the formulation of communications equipment,improving combat deterrence,enhancing the reliability, validity and reliability of the communication of the new airborne system is the practical requirements of future warfare on communication construction.In the limited space environment, in order to ensure the reliability and effectiveness of communication,one good safeguard is to introduce data redundancy. In this paper, data redundancy technique to study the particle swarm intelligence optimization algorithms, design a multi-DSP communication system for data redundancy. While the particle swarm optimization algorithm in intelligent algorithms is an optimization algorithm based on swarm intelligence theory,which has been widely studied and recognized by many scholars and has been successfully used in neural network training, function optimization, fuzzy control systems and optimization of multi-objective optimization fields. The traditional PSO is limited in speed- displacement update model, can not be effectively extended to the field of discrete and combinatorial optimization, iterative process and do not reflect the order or other constraint relationship between these variables. To overcome the limitations of traditional particle swarm optimization algorithm, this paper analyzes the traditional PSO optimization mechanism and make some improvements. The improved particle Swarm has ability to track individuals and groups extreme value, and then obtain updated information and search optimization, which update method is more suitable for continuous optimization problem solving nature. Targeting at the actual complex electromagnetic environment, this paper established a communication system reliability optimization model, overall satisfaction and reliability of the model calculation model. This paper use the improved generalized particle swarm optimization algorithm based on high-performance DSP chip,depending on the location information sharing of the optimal particle and information exchange between individual particle throughout the whole population to reach the co-evolutionof the entire population and obtain reliable and effective information of communication,finally complete the communication task. Since the communication system program adopts a modular design, so it has good versatility and scalability. Even if put the communication system in different application environments, as long as adjusting relevant parameter in data redundancy methods,it can still ensure high reliability of the communication system. Thus, the data redundancy method can greatly reduce the hardware cost of the entire communication system.In order to monitor the system status and record the problem of causing system failure, this communication scheme increases the fault information storage module, which is capable of storing at least 3 times fault information that would occur in 10 seconds before the failure. Researchers can communicate to download and resolute the stored information at any time,study the reasons of failure, and thus better to upgrade and maintenance the system, keep and further improve reliability of the system.Experimental data show that this scheme based on the reliability of the optimization model can ensure high reliability of the communication system with the use of particle swarm optimization in the limited space and time.