Signal modeling of reflected laser

This model takes into account both factors and does not assume a constant velocity. Feedback or suggestions are welcome. Thank you.In summary, the conversation discusses modeling a received laser signal reflected off a moving target, taking into account both the frequency change due to Doppler shifting and the time-varying phase shift caused by the continuous change in distance from the target. The proposed model includes the Doppler effect and distance-to-wavelength ratio, and does not assume constant velocity. Feedback and suggestions are welcome.
  • #1
jmountney
2
0
Hello all,

I am trying to model a received laser signal, x(t), reflected off a moving target. I am currently trying to model for both frequency change due to Doppler shifting as well as a time-varying phase shift, θ(t), due to the continuous change in distance from the target. My current model is as follows:

x(t) = cos(2∏(f+f0(t))t + θ(t)),

where f0(t) is the Doppler effect at time t and θ(t)=(distance at time t)/wavelength. I do not assume constant velocity so the f0(t) may change over time.

I am not sure if this physical model is correct. Any comments or suggestions are welcome. Thank you.
 
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  • #2
</code>Yes, this physical model is correct. The Doppler effect will cause the frequency of the reflected signal to change as the distance between the target and transmitter changes, while the phase shift will be determined by the changing distance between the two as well.
 

1. What is "Signal modeling of reflected laser"?

Signal modeling of reflected laser is a scientific process that involves analyzing the characteristics of a laser beam that has been reflected off of a surface or object. This method is commonly used in fields such as remote sensing, lidar, and laser ranging to gather information about the properties of the surface or object being studied.

2. How does signal modeling of reflected laser work?

This process works by emitting a laser beam towards a target and measuring the intensity and time delay of the reflected signal. These measurements can then be used to create a model of the reflected signal, which can provide valuable information about the target's surface properties, distance, and other characteristics.

3. What are the applications of signal modeling of reflected laser?

Signal modeling of reflected laser has a wide range of applications, including remote sensing of Earth's surface, measuring atmospheric properties, and studying the composition of objects in space. It is also used in various industries such as forestry, agriculture, and urban planning to gather data on land cover, topography, and other important features.

4. What are the advantages of using signal modeling of reflected laser?

There are several advantages to using this technique, including its ability to provide precise and accurate measurements, its non-invasive nature, and its ability to collect data from a distance. It is also a cost-effective method compared to other remote sensing techniques and can be used in various environmental conditions.

5. What are the challenges of signal modeling of reflected laser?

While signal modeling of reflected laser has many advantages, it also has some challenges. One of the main challenges is the complexity of the data analysis process, which requires specialized knowledge and software. Additionally, factors such as weather conditions, surface roughness, and signal interference can affect the accuracy and reliability of the results.

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