Title

CELP-like compression of spotlight-mode SAR raw data in transform domain

Document Type

Conference Proceeding

Publication Date

12-1-2010

Abstract

Transmission of synthetic aperture radar (SAR) data requires large bandwidth due to its inherently high data rate. Consequently, compression of the data is often required. In this paper, we propose a raw SAR data compression algorithm that employs a predictive coding scheme, based on the analysis-bysynthesis encoding method. The proposed algorithm is inspired by code excited linear prediction (CELP) algorithm used in speech compression and exploits the signal correlation across azimuth of the range-wise inverse Fourier transform of the raw SAR data. Our results show that the proposed CELPlike compression algorithm is 6 dB superior to block adaptive quantization (BAQ) in signal-to-noise ratio. Also, we show that the formed SAR image after compression preserves the main features of the captured scene at low data rate contrary to that of BAQ-compressed data. ©2010 IEEE.

Publication Source (Journal or Book title)

Proceedings - IEEE Military Communications Conference MILCOM

First Page

870

Last Page

874

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