| Summary: | 碩士 === 國立臺灣科技大學 === 電機工程系 === 105 === In adaptive ultrasound beamforming, one of well-known beamforming is minimum variance beamformer. The beamformer in simulation show high performance than traditional beamformer. The crucial purpose for this beamformer is to estimate covariance matrix. The more accurate covariance is, the more high quality image can get. However, in actual environment, MV cannot reaches the simulation performance. Lower SNR transmission result in even worst performance. For this issue, many researcher try to solve this problem and provide new idea to estimate covariance matrix.
In this paper, we use MV beamfomer using single plane wave transmission and discover that wire close to image boundary disappear in the image. The reason why it is disappearance is the estimation error in covariance matrix. We will explain estimation error for covariance matrix and use forward backward averaging to improve this proplem.
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