Track Plane: Find $\hat R_{BA}$ (2 SF)

In summary, the airplane was initially detected at point A with a range of 360 m and an angle of 40 degrees above the horizon. It was then tracked for 5.0 s until reaching point B with a range of 880 m. The change in displacement vector of the plane, \hat R_{BA}, is <520, 0> m.
  • #1
EaGlE
20
0
Intro: A radar station detects an airplane coming straight at the station from the east. At first observation (point A), the range to the plane is 360 m at 40 degrees above the horizon. The plane is tracked for another 123 degrees in the vertical east-west plane for 5.0 s, until it has passed directly over the station and reaches point B. The range at final contact is 880 m. The contact points are shown in the diagram.

Question: What is [tex]\hat R_{BA}[/tex] the change of the displacement vector of the plane while the radar was tracking it?

Here, [tex]\hat R_{BA} = \hat R_{B} - \hat R_{A}.[/tex] Express [tex]\hat R_{BA}[/tex] numerically as an ordered pair, separating the x and z components with a comma, to an accuracy of two significant figures.


my work is also included(work i did is in red)... did i do my calculations correctly?
 

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  • #2
everything looks good except you didn't quite answer the question! the answer should be in the form r = <dx, dy>.
 
  • #3


Yes, your calculations appear to be correct. The change in the displacement vector, \hat R_{BA}, can be calculated by subtracting the initial displacement vector at point A from the final displacement vector at point B. This can be done by breaking down the displacement vectors into their x and z components and then subtracting them.

At point A, the displacement vector can be represented as (360cos(40), 360sin(40)) = (274.7, 231.5). Similarly, at point B, the displacement vector can be represented as (0, 880) = (0, 880).

Subtracting the x components, we get 0 - 274.7 = -274.7 and subtracting the z components, we get 880 - 231.5 = 648.5.

Therefore, the change in displacement vector, \hat R_{BA}, is (-274.7, 648.5) to two significant figures. This can also be represented as an ordered pair as (-270, 650).

So, the answer to the question would be:

\hat R_{BA} = (-270, 650)
 

1. How does "Track Plane: Find $\hat R_{BA}$ (2 SF)" work?

"Track Plane: Find $\hat R_{BA}$ (2 SF)" is a scientific method used to determine the orientation or rotation of one object (B) relative to another (A) based on a set of known data points or measurements. It uses mathematical equations and algorithms to calculate the rotation matrix, $\hat R_{BA}$, which describes the orientation of object B with respect to object A.

2. Why is it important to find $\hat R_{BA}$?

Knowing the relative orientation of two objects is crucial in various fields of science, such as robotics, computer graphics, and aerospace engineering. It allows us to understand how one object is positioned in relation to another and can help with tasks such as navigation, object tracking, and motion planning.

3. What is the significance of the (2 SF) in "Track Plane: Find $\hat R_{BA}$ (2 SF)"?

The (2 SF) stands for "two significant figures," which refers to the precision or accuracy of the calculated rotation matrix $\hat R_{BA}$. In other words, the result will be rounded to two decimal places to provide a level of uncertainty in the calculation.

4. What data points or measurements are needed to use "Track Plane: Find $\hat R_{BA}$ (2 SF)"?

To use this method, you will need to know the position and orientation of at least three points on both objects A and B. These points should be non-collinear and ideally located in different planes or axes. Additionally, you will need to know the scale or distance between these points to accurately calculate $\hat R_{BA}$.

5. Are there any limitations or assumptions when using "Track Plane: Find $\hat R_{BA}$ (2 SF)"?

Like any scientific method, there are limitations and assumptions when using "Track Plane: Find $\hat R_{BA}$ (2 SF)." It assumes that both objects A and B are rigid bodies and that the points used for calculation are stationary and not affected by external forces. Additionally, the accuracy of the result depends on the accuracy of the input data and the precision of the calculations used.

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