【摘要】：根據(jù)礦井、失火辦公大樓等災(zāi)區(qū)自然環(huán)境特征,結(jié)合基站信號(hào)多重覆蓋的特點(diǎn),提出了一種改進(jìn)自適應(yīng)遺傳算法(IAGA),對(duì)基站組網(wǎng)部署進(jìn)行優(yōu)化。首先介紹災(zāi)害環(huán)境下的時(shí)間到達(dá)差算法(TDOA),用精度因子(DOP)刻畫精度指標(biāo),提出了基站組網(wǎng)部署原則,以定位綜合性能作為目標(biāo)函數(shù)求解基站坐標(biāo)。仿真試驗(yàn)表明,IAGA模型能夠較好地應(yīng)用于應(yīng)急組網(wǎng)優(yōu)化的部署,該算法基本能夠達(dá)到最優(yōu)解或次優(yōu)解。
[Abstract]:According to the natural environment characteristics of disaster areas such as mine, fire office building and so on, an improved adaptive genetic algorithm (IAGA),) is proposed to optimize the network deployment of base stations according to the characteristics of multiple coverage of base station signals. First, the time-to-arrival difference algorithm (TDOA),) in disaster environment is introduced. The precision index is described by the precision factor (DOP), and the deployment principle of the base station network is put forward. The comprehensive positioning performance is used 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 achieve the optimal or sub-optimal solution.
【作者單位】： 中國礦業(yè)大學(xué)國土環(huán)境與災(zāi)害監(jiān)測國家測繪地理信息局重點(diǎn)實(shí)驗(yàn)室;中國礦業(yè)大學(xué)環(huán)境與測繪學(xué)院;華東交通大學(xué)理工學(xué)院經(jīng)濟(jì)管理分院;
【基金】：國家重點(diǎn)研發(fā)計(jì)劃(2016YFC0803103)
【分類號(hào)】：TN929.5;TP18
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本文編號(hào)：2463756