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中文摘要：
本文将一种新的自适应无偏时延估计方法用于地下管道的泄漏检测和漏点定位，避免了经典自适应时延估计算法-LMS算法在噪声环境下可能产生有偏时延估计的不足。文章为该方法建立了新的自适应准则，分析了由该准则得到的最优解，并提出相应的算法来实现最优解的搜索，也详细的推导了算法的收敛条件。实验表明，该方法能够有效地消除不相关噪声的干扰，使得估计性能得到显著的改善。
英文摘要：
Losses due to leakage is severe in underground ting and locating the leakages. The classical adaptive time pipes, which promotes the studies on techniques for detecdelay estimation method, LMSTDE, may give a biased estimation when input data are contaminated with noise. We developed and analyzed a new adaptive filter structure for time delay estimation （TDE）, which can eliminate this bias. A new adaptive criterion was then constructed. The corresponding analytical solution was determined, and the stochastic gradient algorithm was developed to calculate the optimum solution. The convergence characteristics of this proposed algorithm were analyzed in detail, and the upper bounds on the step size were deduced for guaranteed convergence. Simulation results are included to illustrate the superiority of the new model and corroborate the theoretical developments.
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