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Proceedings Paper

Radar signal compression using wavelet transforms
Author(s): Yan Zhou; Fei-peng Li; Yu Xu; Qian-qing Qin; Deren Li
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Paper 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.

Paper Details

Date Published: 26 September 2001
PDF: 6 pages
Proc. SPIE 4551, Image Compression and Encryption Technologies, (26 September 2001); doi: 10.1117/12.442930
Show Author Affiliations
Yan Zhou, Wuhan Univ. (China)
Fei-peng Li, Wuhan Univ. (China)
Yu Xu, Tsinghua Univ. (China)
Qian-qing Qin, Wuhan Univ. (China)
Deren Li, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 4551:
Image Compression and Encryption Technologies
Jun Tian; Tieniu Tan; Liangpei Zhang, Editor(s)

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