摘要
为了提高时差定位算法的精度,提出了一种基于VMD分解和小波阈值去噪的时差估计算法。通过VMD分解将信号分解成若干个分量,再利用小波阈值去噪对各个分量进行去噪,最后将信号重构进行互相关得到信号的时延值。仿真结果表明,该方法优于直接小波阈值去噪的时差参数估计算法,具有更高的准确度和稳定性。
In order to improve the accuracy of TDOA location algorithm, a TDOA estimation algorithm based on VMD and wavelet threshold de-noising is proposed. The signal is decomposed into several components by VMD,then each component is denoised by wavelet threshold de-noising. Finally, the signal is reconstructed and cross-correlated to obtain the value of TDOA. The simulation results show that the proposed method is superior to the TDOA estimation algorithm based on wavelet threshold de-noising, and has higher accuracy and stability.
作者
帅海峰
SHUAI Hai-feng(Space Engineering University, Graduate School, Beijing 101400, China)
出处
《软件》
2019年第6期176-179,199,共5页
Software
