Abstract
A method of removing the outliers of Doppler frequency is presented. Based on the analysis of statistical property of outliers and their distributions in the wavelet domain, different characteristics of wavelet coefficients are found between the outliers and ideal Doppler frequency. On applying threshold method to the wavelet coefficients piecewise, the outliers are successfully removed. Experimental results show the residues between the original and the cleaned data do not contain the component of Doppler frequency. Effects of the stochastic errors and outliers, have been removed and this is helpful to the successive estimation and optimization of miss distance parameters.
| Original language | English |
|---|---|
| Pages (from-to) | 529-632 |
| Number of pages | 104 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 23 |
| Issue number | 5 |
| Publication status | Published - Oct 2003 |
Keywords
- Doppler frequency
- Outliers
- Wavelet transform