Performance optimization of lateral displacement estimation with spatial angular compounding
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The performance optimization of spatial angular compounding was investigated.

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The effects of key factors were investigated through simulations and experiments.

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It is necessary to filter the GLN for better displacement estimation.

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Better estimation performance is associated with a larger NSA and bigger MSA.

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The results are in agreement with theoretical analysis.

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