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根据矿井、失火办公大楼等灾区自然环境特征,结合基站信号多重覆盖的特点,提出了一种改进自适应遗传算法(IAGA),对基站组网部署进行优化。首先介绍灾害环境下的时间到达差算法(TDOA),用精度因子(DOP)刻画精度指标,提出了基站组网部署原则,以定位综合性能作为目标函数求解基站坐标。仿真试验表明,IAGA模型能够较好地应用于应急组网优化的部署,该算法基本能够达到最优解或次优解。
According to the characteristics of the natural environment in mined areas such as mines and fire-extinguished office buildings, combined with the multiple coverage of base station signals, an improved adaptive genetic algorithm (IAGA) is proposed to optimize the base station network deployment. Firstly, TDOA is introduced in the disasters environment, and the accuracy index is described by the precision factor (DOP). The principle of network deployment of base stations is proposed to locate the comprehensive performance as the objective function to solve the base station coordinates. The simulation results show that the IAGA model can be applied to the deployment of emergency network optimization, and the algorithm can reach the optimal solution or suboptimal solution.