基于二次相关的广义互相关时差估计算法

对卫星干扰源进行准确定位有着非常重要的意义,而参数估计又是定位问题的关键,所以为了提高干扰源定位的精度,必须对时差参数进行准确的估计.由于传统的广义互相关时差法是通过利用加权函数来提高信号的有效成分,进而提高时差估计的精度,考虑到在信噪比较低的情况下,它的估计性能又开始下降,因此提出了一种基于二次相关的广义互相关时差估计新算法.该算法利用二次相关先对接收信号进行处理,可以有效抑制干扰噪声,然后对二次相关的结果进行广义互相关处理,进一步去除噪声,提高信号的信噪比,从而提高时差估计精度.

Generalized Cross-correlation Algorithm Based on Secondary Relation

It is very important for satellite interference source to have accurate positioning.However,the key to positioning is parameter estimation.In order to improve the positioning accuracy of interference source,we have to estimate the time difference parameters accurately.The traditional generalized cross correlation method improves the effective components of signal by using weighting function while results in the problem of time difference accuracy.Furthermore,in cases of low signal to noise ratio,its estimation performance falls.A generalized correlation time delay estimation algorithm was proposed in this paper based on the second correlation.The second correlation was used in the algorithm to deal with the received signal and suppress interference noise effectively.Then the result of the second correlation by using generalized cross correlation method to further suppress interference noise and improve the signal to noise ratio.As a result,the time difference estimation accuracy was improved.