误差修正的声源目标混合定位算法

针对定位系统因非视距传播、多路径效应等因素所导致定位精度降低的问题,提出了一种基于到达时差的误差修正声源目标混合定位算法。首先,该算法在传统加权最小二乘法中引入动态权值修正技术获得泰勒级数迭代法初值,减少了迭代次数;其次,提出了后项时延选择算法,并结合标准残差函数剔除了误差较大的时差对定位性能的影响,选择最优的时差组合方式进行目标位置解算;最后,通过标准残差加权的方式修正混合定位算法误差,得到声源目标位置。 实验结果显示,新提出的误差修正混合定位算法性能优于参考算法,且对非视距误差具有显著的抑制作用,有效地提高了定位精度。

Hybrid location algorithm for the acoustic source based on error correction

Aiming at the problem that due to the influences of non line-of-sight (NLOS) propagation, the multipath effect and other factors, the location system is liable to low accuracy with large errors. A hybrid location algorithm for the acoustic source based on error correction (ECHL) and time difference of arrival (TDOA) is proposed. First, by correcting the weighted matrix of weighted least square (WLS) dynamically this algorithm can be used to obtain the initial value of Taylor series iteration, so as to achieve the purpose of reducing the number of times of iteration. Second, the influence of the time delay with larger errors on the positioning accuracy is eliminated by combining the algorithm for latter selection time delay with the standardized residual function. Then the optical positioning solution of TDOA integration is chosen. Finally, the target position is determined by the standardized residual weighting. Simulation results show that the proposed method can considerably outperform the single method, effectively restrain the NLOS error and improve the positioning accuracy compared with reference methods.