Update Content - 2024-12-17
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@@ -16,7 +16,7 @@ A technique to estimate the sensor noise in such case is proposed in (<a href="#
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The idea is to mount two inertial sensors closely together such that they should measure the same quantity.
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This is represented in Figure [1](#figure--fig:huddle-test-setup) where two identical sensors are measuring the same motion \\(x(t)\\).
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This is represented in [Figure 1](#figure--fig:huddle-test-setup) where two identical sensors are measuring the same motion \\(x(t)\\).
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<a id="figure--fig:huddle-test-setup"></a>
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@@ -75,7 +75,7 @@ Now suppose that:
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- sensor noises are modelled as input noises \\(n\_1(t)\\) and \\(n\_2(s)\\)
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- sensor noises are uncorrelated and each are uncorrelated with \\(x(t)\\)
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Then, the system can be represented by the block diagram in Figure [2](#figure--fig:huddle-test-block-diagram), and we can write:
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Then, the system can be represented by the block diagram in [Figure 2](#figure--fig:huddle-test-block-diagram), and we can write:
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\begin{align}
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P\_{y\_1y\_1}(\omega) &= |H\_1(\omega)|^2 ( P\_{x}(\omega) + P\_{n\_1}(\omega) ) \\\\
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