Linear Minimum Mean Square Error Estimation for Wet Delay Correction in SAR Interferogram

Linear minimum mean square error(LMMSE) estimation is introduced for atmospheric delay correction in SAR interferogram.In plain area,the performance of LMMSE is compared with inverse distance weighted averaging(IDWA) and ordinary Kriging(KRG),commonly used for wet atmospheric correction in SAR interferogram,using simulated data.According to the simulation experiment result,LMMSE is better than IDWA and KRG,particularly for sparse randomly distributed known points even the accuracy of known points is bad.And in mountainous area,the performance of LMMSE,KRG considering height difference is compared with LMMSE,KRG not considering height difference and IDWA.According to the simulation experiment result,the LMMSE interpolator considering height difference has the best performance in interpolating atmospheric delay observations in mountainous area.