Radar signal compression using wavelet transforms

Yan Zhou; Fei-peng Li; Yu Xu; Qian-qing Qin; Deren Li

doi:10.1117/12.442930

26 September 2001 Radar signal compression using wavelet transforms

Yan Zhou, Fei-peng Li, Yu Xu, Qian-qing Qin, Deren Li

Proceedings Volume 4551, Image Compression and Encryption Technologies; (2001) https://doi.org/10.1117/12.442930
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

Generally, the echo of radar can be regarded as a combination of useful signal and noise. In this paper, an efficient wavelet-based non-linear signal compression scheme is presented, which takes full advantage of the two-dimensional correlation consisted in the radar signal. The whole process begins with a 4-scale QMF decomposition, then thresholding, quantization, zerotree scan and finished with arithmetic coding. Since radar signal usually is corrupted by a great amount of noise, a particular process of de-noising is added to the compression. For typical radar signal, testing results show that when compressed at a ratio of 200, the signal is still good fairly. Further more, a new criterion fit for quality evaluation of radar signal, i.e. Morphological Fidelity, is proposed.

Citation Download Citation

Yan Zhou, Fei-peng Li, Yu Xu, Qian-qing Qin, and Deren Li "Radar signal compression using wavelet transforms", Proc. SPIE 4551, Image Compression and Encryption Technologies, (26 September 2001); https://doi.org/10.1117/12.442930

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