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Avståndsberäkning med DSP
2002 (Swedish)Independent thesis Basic level (professional degree)Student thesis

##### Abstract [en]

This is a degree project corresponding to ten points at Karlstads Universities Electrical Engineering program. The degree project was carried out at Saab Bofors Dynamics in Karlskoga, Sweden. There they develop products for the defence industry. In one of these products, they measure the altitude of a flying projectile by sending out a laserbeam (from the projectile) which is reflected onto the ground, so you can measure the reflection. By calculating the time it takes for the laserbeam to go to the ground and back, one can compute the distance. This product contains a DSP. The DSP is used to interpolate data points in order to improve the precision. The aim of this project is to develop a C-program, for the DSP to calculate the distance optimally. It also compares the advantages and disadvantages of different interpolation methods. When one uses a laser to measure a distance many problems arise. The first is that when you get the reflection back it contains noise. To attenuate this noise you can make repeated measurements and do a convolution on the signal. The second problem is that the precision on the calculated distance depends on the sampling frequency, and to increase the precision, one needs to interpolate to get more samples and this interpolation can be performed in different ways. The interpolation method that was used in the existing solution was a modified Lagrange method. My task was to evaluate other interpolation methods such as cubic splines. With this method, the distance calculation becomes only sufficiently precise within certain areas. The reason for this is that the interpolation error when you use cubic splines is uniformly distributed, and therefore not predictable. Other methods like Lagrange, give an error that is predictable and could therefore be eliminated from the result. A solution to this problem is to make repeated calculations on different measurements and so reduce the uniform distribution error, but in this case this was not possible because of excessive computational load. The result became a functioning program for the DSP who is verified in the simulation environment, but it is not tested in any practical application. The programs that were used were mainly Matlab which was used for testing the mathematical parts of the task, and Visual DSP from Analog Devices was used for programming and debugging the DSP code.

2002. , p. 55
##### Identifiers
Local ID: ELI-6OAI: oai:DiVA.org:kau-54276DiVA, id: diva2:1102978
##### Subject / course
Electronic Engineering, Bachelor of Science
Available from: 2017-05-30 Created: 2017-05-30

#### Open Access in DiVA

No full text in DiVA

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#### Altmetric score

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Cite
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