一种利用高阶谱相位数据进行时延估计的新方法

本文提出了一种利用高阶谱相位数据进行时延估计的新方法。对于无噪声干扰或是不相关高斯噪声干扰的信号来说,互谱相位数据时延估计能给出较好的估计结果。但是若存在相关高斯噪声干扰时,利用高阶谱相位数据进行时延估计就有较突出的优点,其精度高于互谱相位数据时延估计法。在频域内经过适当加权,能更有效地提高估计精度。

High order spectrum phase data for time delay estimation

The method of phase data time delay estimation based on high order spectrum is put forward.If the received signal at each sensor is not corrupted by spatially correlated Gaussian noise, the traditional co-spectrum phase data method exhibits a better performance. However, the method yields ambiguous results when the noise terms at the two sensors are correlated. The method proposed in this article can alleviate the problem and give an explicit result. The time delay precision can be improved by using weighting function in the frequency domain.