A method for Doppler Weather Radar raw data compression based on wavelet transform modulus maxima denoising

Author

Li, Xiao ; Cao, Xuehong ; Li, Chen ; Zhang, Vue

Author_Institution

Sch. of Telecommun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China

fYear

2010

fDate

11-14 Nov. 2010

Firstpage

424

Lastpage

427

Abstract

A lossy data compression algorithm based on wavelet transform modulus maxima denoising (WTMM-D) has been proposed. Firstly, analysis for radar raw data is presented to identify data characteristics and correlation. Then, we transform the data format and compare the experimental results using different lossless compression algorithms to compress the transformed raw data. Finally, a method based on WTMM-D is presented, which is using a high-performance lossless compression algorithm to compress the reconstructed coefficients of WTMM-D. Experimental results show that the proposed algorithm can compress raw data efficiently under the premise of a certain distortion.

Keywords

Doppler radar; data compression; meteorological radar; signal denoising; Doppler weather radar; Wavelet transform; lossless compression algorithms; lossv data compression; modulus maxima denoising; raw data compression; Broadband communication; Education; Lead; Logic gates; Signal to noise ratio; Sun; Wireless communication; Data Compression; Doppler Weather Radar; Noise Reduction; Wavelet Transform Modulus Maxima;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Technology (ICCT), 2010 12th IEEE International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-6868-3

Type

conf

DOI

10.1109/ICCT.2010.5688835

Filename

5688835