This paper presents a new digital front-end architecture for synthetic aperture ultrasound (SAU) imaging usingorthogonal chirps and orthogonal Golay codes. Compared toexisting systems that perform decoding before beamforming, theproposed systems have comparable performance and significantlylower computation and space complexity. Unfortunately theproposed systems suffer loss in performance in the presenceof body motion. To address this problem, we propose a simplemotion compensation scheme that improves both the SNR andthe RSLL performance. A comparison of the complexity ofboth the systems shows that while Golay code-based system haslower computation complexity than chirp-based system, if motioncompensation is included, then the complexity of the two systemsare comparable.
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