Update Content - 2024-12-17

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2024-12-17 15:37:17 +01:00
parent 4d585dd592
commit 4fb2b6c969
86 changed files with 1314 additions and 711 deletions

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