【摘要】：研究了聲源軌跡交叉情況下的兩個聲源跟蹤問題。針對傳統(tǒng)跟蹤算法容易丟失較弱聲源的缺點,提出一種基于粒子濾波的改進多聲源跟蹤算法。該算法在跟蹤過程中估計聲源之間的距離,當(dāng)此距離小于0.3 m時,根據(jù)聲源粒子的速度方向來調(diào)整粒子權(quán)重,引導(dǎo)粒子向各自聲源的運動方向移動,從而避免較弱聲源的粒子被較強聲源的粒子"吸引",保持了粒子的多樣性。仿真結(jié)果表明,在不同的交叉角度下,相比于傳統(tǒng)算法,改進算法能大幅度減小對較弱聲源的跟蹤丟失率,并能有效提高兩個聲源的跟蹤精度。
[Abstract]:Two sound source tracking problems under the condition of cross sound source trajectory are studied. In order to solve the problem that the traditional tracking algorithm is easy to lose weak sound sources, an improved multi-source tracking algorithm based on particle filter is proposed. The algorithm estimates the distance between sound sources in the tracking process. When the distance is less than 0.3 m, the particle weight is adjusted according to the velocity direction of the sound source particles, and the particles are guided to move in the motion direction of their respective sound sources. Thus, the particles with weak sound source are "attracted" by the particles with stronger sound source, and the diversity of particles is maintained. The simulation results show that compared with the traditional algorithm, the improved algorithm can greatly reduce the tracking loss rate of the weaker sound source and effectively improve the tracking accuracy of the two sound sources at different cross angles.
【作者單位】： 九江職業(yè)技術(shù)學(xué)院電氣工程學(xué)院;東南大學(xué)信息科學(xué)與工程學(xué)院;
【基金】：國家自然科學(xué)基金青年科學(xué)基金資助項目(61201345)
【分類號】：TN912.3

【參考文獻】

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