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中文摘要：
研究移动通信网络优化问题.在一些特殊环境下,移动通信网络中的节点发生频繁跨区域通信小区切换,节点的频繁切换必然导致传统的通信算法反复更新通信位置,无法顺畅完成网络通信过程,降低了移动网络通信的准确性.为解决上述问题,提出了一种粒子滤波和差异数据融合的抗频繁小区切换通信优化算法,采用粒子滤波算法对通信信号进行处理,得到通信信号传递时的退化程度,采用差异数据的融合通信干扰补偿模型对网络中的数据溢出和数据冲突等错误进行有效的修补,保证移动网络通信数据的正常传输.仿真结果表明,改进后的算法在频繁小区切换的乘性噪声干扰下,仍然能获取准确度较高的通信结果.
英文摘要：
The optimization problem of mobile communication network was researched in this paper. This paper proposed a communications optimization method for frequent neighborhood switch resistance based on particle filter and variance of data fusion algorithm. Particle filter algorithm was used for communication signal processing to obtain the degradation degree during communication signal passing. The communication interference compensation model of discrepant data fusion was applied for effectively repairing the errors such as data overflow and conflict and so on in a network, to ensure the noimal transmission of the mobile network communication data. The simulation experimental results show that the improved algorithm under the multiplicative noise interference of frequent neighborhood switc hing, still can obtain accurate results of the communication.
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