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

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Conference Proceeding

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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.

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Proceedings - IEEE Military Communications Conference MILCOM

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