【摘要】：為提高無線電信號(hào)源的定位精度,運(yùn)用粒子濾波方法對(duì)其進(jìn)行定位估計(jì)。針對(duì)粒子濾波存在的粒子退化問題,提出改進(jìn)的螢火蟲算法優(yōu)化粒子濾波。首先對(duì)螢火蟲算法的吸引度公式進(jìn)行改進(jìn),并利用迭代時(shí)刻粒子最優(yōu)值指導(dǎo)個(gè)體的移動(dòng)過程。然后運(yùn)用改進(jìn)的螢火蟲算法與粒子濾波機(jī)制相結(jié)合,使粒子趨向于高似然區(qū)域,提高粒子的有效性,避免粒子退化,提高粒子濾波算法的濾波精度。最后,將改進(jìn)后的算法用于無線電信號(hào)源定位算法中并進(jìn)行仿真試驗(yàn)。實(shí)驗(yàn)結(jié)果表明:該文提出的算法定位結(jié)果最大定位誤差為0.23%,該算法相比粒子濾波算法的定位精度有很大的提高,是一種有效的、實(shí)用性較強(qiáng)的定位估計(jì)算法。
[Abstract]:In order to improve the location accuracy of radio signal source, particle filter is used to estimate its location. In order to solve the problem of particle degradation in particle filtering, an improved firefly algorithm is proposed to optimize particle filtering. Firstly, the formula of the attraction degree of the firefly algorithm is improved, and the particle optimal value at the iteration time is used to guide the individual moving process. Then the improved firefly algorithm is combined with the particle filtering mechanism to make the particles tend to the high likelihood region to improve the effectiveness of particles to avoid particle degradation and improve the filter accuracy of particle filtering algorithm. Finally, the improved algorithm is applied to the radio signal source location algorithm and simulated. The experimental results show that the maximum localization error of the proposed algorithm is 0.23 and the accuracy of the proposed algorithm is much higher than that of the particle filter algorithm. It is an effective and practical location estimation algorithm.
【作者單位】： 河北工業(yè)大學(xué)控制科學(xué)與工程學(xué)院;河北省控制工程研究中心;
【基金】：河北省教育廳重點(diǎn)項(xiàng)目(ZD2017216)
【分類號(hào)】：TN713;TP18

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