摘要
文章中把LMS时延估计算法用于地下管网的泄漏检测和漏点定位,避免了经典时延估计算法-广义互相关法(GCC方法)需要知道信号和噪声统计特性等先验知识的不足,但是泄漏检测应用中,管道外在环境造成的突发性强干扰,导致了传感器接收到的信号是非平稳的,而非平稳信号对LMS的时延估计性能有不利影响,文章中分析了这种由突发性强干扰导致的非平稳信号对LMS时延估计收敛性、收敛速度和时延估计值的影响,提出了消除突发干扰的方法。实验表明,在地下管网泄漏检测应用中,该方法能够有效地消除强突发干扰噪声,使得估计性能得到显著的改善。
Losses due to leaking is severe in underground pipes, which necessitates studies on techniques for detecting and locating leaks. The classical time-delay estimation method, GCC, is unsuitable because precise knowledge about signals and noises is difficult to obtain due to complicated environments of the underground pipe networks. LMS time delay estimation can avoid drawbacks of GCC as it can be performed without prior knowledge of the signal and noise. Unfortunately, since burst interferences lead to non-stationary characteristics of the received signals, performance of LMSTDE deteriorates. In order to apply LMSTDE to leak detection, effects of non-stationary properties due to burst interfere on convergence, convergence speed and time-delay estimation are analyzed. A method for removing burst interference is proposed, and experiments are carried out to verify its validity and show the improvement in the estimation performance.
出处
《声学技术》
EI
CSCD
2004年第3期168-172,共5页
Technical Acoustics
