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On time delay estimation by evaluation of three time domain functions

机译:通过评估三个时域函数进行时延估计

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Time delay estimation (TDE) is an important problem in many fields of the engineering. The work is looking from the sonar based applications point of view, where the time difference between transmitted pulse and received echo is important for target and object detection and recognition. From many available well know methods, only three time domain methods were considered and investigated: Direct Correlation Function (DCF), Average Square Difference Function (ASDF), and Average Magnitude Difference Function (AMDF). Results obtained for TDE are compared by simulation. We investigate the resolutions of the methods depending on SNR. All investigate methods are valid down to 0 dB Signal to Noise Ratio (SNR). DCF algorithms seems to have the best behavior, in the sense that they have the constant estimations over a wide range of SNR. The ASDF and AMDF based methods needs an estimation of the range where the delay could be. All estimations are biased and slightly depend on the value of the time delay.
机译:时延估计(TDE)是工程技术许多领域中的重要问题。从基于声纳的应用程序的角度来看,这项工作正在寻找,其中发射脉冲和接收回波之间的时间差对于目标和物体的检测和识别很重要。从许多可用的众所周知的方法中,仅考虑和研究了三种时域方法:直接相关函数(DCF),平均平方差函数(ASDF)和平均幅度差函数(AMDF)。通过仿真比较了TDE的结果。我们研究取决于SNR的方法的分辨率。所有调查方法在低至0 dB信噪比(SNR)时都是有效的。从DCF算法在宽SNR范围内具有恒定估计的意义上来说,它似乎具有最佳性能。基于ASDF和AMDF的方法需要估计延迟的范围。所有的估计都是有偏差的,并且在一定程度上取决于时间延迟的值。

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