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Millnert, Mille
Publications (10 of 54) Show all publications
Gustafsson, F., Ljung, L. & Millnert, M. (2010). Signal processing (1ed.). Lund: Studentlitteratur
Open this publication in new window or tab >>Signal processing
2010 (English)Book (Other academic)
Abstract [en]

This book provides signal processing exercises and can with advantage be used together with the text book Signal Processing by Fredrik Gustafsson, Lennart Ljung and Mille Millnert. The chapters of the books are aligned, which means that there are matching exercises to each theory chapter. The first part of the book treats classical digital signal processing based on transforms and filters, while model based digital processing is in focus in the second part. Some exercises are more theoretical and solved by hand, while others are intended for Matlab on a computer. The book material is inspired by real problems, and so are the exercises. This is emphasized by the use of data sets, both simulated and real. Most exercises have complete solutions, and a section with hints provides guidance to some exercises. Selected exercises also result in a Matlab function corresponding to specific signal processing algorithms. These functions are used to solve other exercises. Thereby, the reader gradually build up a signal processing toolbox during the studies of the material. The book homepage contains more information and links to access the matlab functions, data sets and examples used in the book. Main book Signal Processing

Place, publisher, year, edition, pages
Lund: Studentlitteratur, 2010. p. 397 Edition: 1
National Category
Signal Processing
Identifiers
urn:nbn:se:liu:diva-74623 (URN)978-91-44-05835-1 (ISBN)
Available from: 2012-02-02 Created: 2012-02-02 Last updated: 2013-04-12Bibliographically approved
Grönwall, C., Gustafsson, F. & Millnert, M. (2006). Ground Target Recognition using Rectangle Estimation. Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Ground Target Recognition using Rectangle Estimation
2006 (English)Report (Other academic)
Abstract [en]

We propose a ground target recognition method based on 3-D laser radar data. The method handles general 3-D scattered data. It is based on the fact that man-made objects of complex shape can be decomposed to a set of rectangles. The ground target recognition method consists of four steps; 3-D size and orientation estimation, target segmentation into parts of approximately rectangular shape, identification of segments that represent the target's functional/main parts, and target matching with CAD models. The core in this approach is rectangle estimation. The performance of the rectangle estimation method is evaluated statistically using Monte Carlo simulations. A case study on tank recognition is shown, where 3-D data from four fundamentally different types of laser radar systems are used. Although the approach is tested on rather few examples, we believe that the approach is promising.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2006. p. 19
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2735
Keyword
Automatic target recognition, Laser radar, Rectangle estimation
National Category
Control Engineering
Identifiers
urn:nbn:se:liu:diva-56087 (URN)LiTH-ISY-R-2735 (ISRN)
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2016-08-31Bibliographically approved
Grönwall, C., Gustafsson, F. & Millnert, M. (2006). Ground Target Recognition using Rectangle Estimation. IEEE Transactions on Image Processing, 15(11), 3400-3408
Open this publication in new window or tab >>Ground Target Recognition using Rectangle Estimation
2006 (English)In: IEEE Transactions on Image Processing, ISSN 1057-7149, E-ISSN 1941-0042, Vol. 15, no 11, p. 3400-3408Article in journal (Refereed) Published
Abstract [en]

We propose a ground target recognition method based on 3-D laser radar data. The method handles general 3-D scattered data. It is based on the fact that man-made objects of complex shape can be decomposed to a set of rectangles. The ground target recognition method consists of four steps; 3-D size and orientation estimation, target segmentation into parts of approximately rectangular shape, identification of segments that represent the target's functional/main parts, and target matching with CAD models. The core in this approach is rectangle estimation. The performance of the rectangle estimation method is evaluated statistically using Monte Carlo simulations. A case study on tank recognition is shown, where 3-D data from four fundamentally different types of laser radar systems are used. Although the approach is tested on rather few examples, we believe that the approach is promising.

Place, publisher, year, edition, pages
IEEE Signal Processing Society, 2006
Keyword
Automatic target recognition, Laser radar, Rectangle estimation
National Category
Control Engineering
Identifiers
urn:nbn:se:liu:diva-14120 (URN)10.1109/TIP.2006.881965 (DOI)
Available from: 2006-11-06 Created: 2006-11-06 Last updated: 2017-12-13
Grönwall, C., Gustafsson, F. & Millnert, M. (2005). Ground Target Recognition using Rectangle Estimation. Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Ground Target Recognition using Rectangle Estimation
2005 (English)Report (Other academic)
Abstract [en]

We propose a ground target recognition method based on 3-D laser radar data. The method handles general 3-D scattered data. It is based on the fact that man-made objects of complex shape can be decomposed to a set of rectangles. The ground target recognition method consists of four steps; 3-D size and orientation estimation, target segmentation into parts of approximately rectangular shape, identification of segments that represent the target's functional/main parts, and target matching with CAD models. The core in this approach is rectangle estimation. The performance of the rectangle estimation method is evaluated statistically using Monte Carlo simulations. A case study on tank recognition is shown, where 3-D data from four fundamentally different types of laser radar systems are used. Although the approach is tested on rather few examples, we believe that the approach is promising.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2005. p. 32
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2684
Keyword
Automatic target recognition, Laser radar, Rectangle estimation
National Category
Control Engineering
Identifiers
urn:nbn:se:liu:diva-56080 (URN)LiTH-ISY-R-2684 (ISRN)
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2016-08-31Bibliographically approved
Grönwall, C. & Millnert, M. (2001). Vehicle Size and Orientation Estimation using Geometric Fitting. In: Proceedings of the 2001 SPIE Automatic Target Recognition XI. Paper presented at 2001 SPIE Automatic Target Recognition XI, Orlando, FL, USA, April, 2001 (pp. 412-423). , 4379
Open this publication in new window or tab >>Vehicle Size and Orientation Estimation using Geometric Fitting
2001 (English)In: Proceedings of the 2001 SPIE Automatic Target Recognition XI, 2001, Vol. 4379, p. 412-423Conference paper, Published paper (Refereed)
Abstract [en]

Over the years imaging laser radar systems have been developed for military and civilian applications. Among the applications we note collection of 3D data for terrain modeling and object recognition. One part of the object recognition process is to estimate the size and orientation of the object. This paper concerns a vehicle size and orientation estimation process based on scanning laser radar data. Methods for estimation of length and width of vehicles are proposed. The work is based on the assumption that from a top view most vehicles edges are approximately of rectangular shape. Thus, we have a rectangle fitting problem. The first step in the process is sorting of data into lists containing object data and data from the ground closest to the object. Then a rectangle with minimal area is estimated based on object data only. We propose an algorithm for estimation of the minimum rectangle area containing the convex hull of the object data. From the rectangle estimate, estimates of the length and width of the object can be retrieved. The first rectangle estimate is then improved using least squares methods based on both object and ground data. Both linear and nonlinear least squares methods are described. These improved estimates of the length and width are less biased compared to the initial estimates. The methods are applied to both simulated and real laser radar data. The use of the minimum rectangle estimator to retrieve initial parameters for fitting of more complex shapes is discussed.

Keyword
Estimation, Geometric fitting, Total least squares, Laser radar
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-91140 (URN)10.1117/12.445401 (DOI)
Conference
2001 SPIE Automatic Target Recognition XI, Orlando, FL, USA, April, 2001
Available from: 2013-04-24 Created: 2013-04-17 Last updated: 2013-04-24
Gunnarsson, S. & Millnert, M. (1997). Computer Supported Control Education from a Linköping Perspective. Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Computer Supported Control Education from a Linköping Perspective
1997 (English)Report (Other academic)
Abstract [en]

The development of computer supported control education at Linköping University is presented. A review of the different phases of development of computer support is given. The experiences from the introduction of computer supported exams are discussed.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 1997. p. 4
Series
LiTH-ISY-R, ISSN 1400-3902 ; 1972
Keyword
Control education, Computer aided control system design, Computer simulation, Maskinelement Servomekanismer Automation
National Category
Control Engineering
Identifiers
urn:nbn:se:liu:diva-55396 (URN)LITH-ISY-R-1972 (ISRN)
Available from: 2010-04-29 Created: 2010-04-29 Last updated: 2014-09-16Bibliographically approved
Ericsson, A. & Millnert, M. (1996). Fast Power Control to Counteract Rayleigh Fading in Cellular Radio Systems. In: Proceedings of Radiovetenskaplig Konferens 1996: . Paper presented at Radiovetenskaplig Konferens 1996, Luleå, Sweden, June, 1996 (pp. 365-369).
Open this publication in new window or tab >>Fast Power Control to Counteract Rayleigh Fading in Cellular Radio Systems
1996 (English)In: Proceedings of Radiovetenskaplig Konferens 1996, 1996, p. 365-369Conference paper, Published paper (Other academic)
Abstract [en]

In urban areas, cellular radio signals are subject to Rayleigh fading, which results in rapid changes in the channel gain. For TDMA-systems without the possibility of frequency hopping, this can cause severe problems for slowly moving cellular phones.

This thesis studies the possibility to use fast power control to counteract the problems introduced by Rayleigh fading in the up link. Simulations with two mobiles, with restrictions of power levels and rate of power change are made.

A two mode power control algorithm basing its control decisions on channel gain predictions is investigated. An important part of the thesis deals with the problem of modeling the gain of a Rayleigh fading channel using regression models, subspace models, and neural network models. Subspace models show the best performance in the noise free case but are very sensitive to noise. Combined with the power control algorithm, the choice of models seems to be of little importance when the noise level is low. The bit-error-rate in simulations is significantly reduced for low noise levels compared to a balanced strategy giving both mobiles equal Carrier-to-Interference-ratio. A comparison with the optimal solution, derived with dynamic programming under the power constraints, indicates that the algorithm is reasonably robust with respect to low noise levels. For higher noise levels, recursive autoregression models of low orders seem to be the most robust ones while subspace models and neural network models are the least robust.

Keyword
Rayleigh fading, Cellular, Simulation, Carrier-to-interference-ration, Subspace models
National Category
Control Engineering
Identifiers
urn:nbn:se:liu:diva-93752 (URN)
Conference
Radiovetenskaplig Konferens 1996, Luleå, Sweden, June, 1996
Available from: 2013-06-16 Created: 2013-06-10 Last updated: 2013-06-16
Renhorn, I., Letalick, D., Karlsson, C. & Millnert, M. (1996). Robust Coherent Laser Radar Design and Signal Processing for Vibrometry. Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Robust Coherent Laser Radar Design and Signal Processing for Vibrometry
1996 (English)Report (Other academic)
Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 1996
Series
LiTH-ISY-R, ISSN 1400-3902 ; 1844
Keyword
Coherent laser, Vibrometry, Signal processing
National Category
Control Engineering
Identifiers
urn:nbn:se:liu:diva-55310 (URN)
Available from: 2010-04-29 Created: 2010-04-29 Last updated: 2013-08-26
Millnert, M., Renhorn, I., Karlsson, C., Letalick, D. & Rutgers, R. (1995). Coherent Laser Radar for Vibrometry: Robust Design and Adaptive Signal Processing. In: Proceedings of the 1995 SPIE Conference on Applied Laser Radar Technology II: . Paper presented at 1995 SPIE Conference on Applied Laser Radar Technology II, USA, June, 1995 (pp. 23-30). , 2472
Open this publication in new window or tab >>Coherent Laser Radar for Vibrometry: Robust Design and Adaptive Signal Processing
Show others...
1995 (English)In: Proceedings of the 1995 SPIE Conference on Applied Laser Radar Technology II, 1995, Vol. 2472, p. 23-30Conference paper, Published paper (Refereed)
Abstract [en]

A coherent laser radar system based on semiconductor laser technology has been designed and built. The compact design and the absence of adjustments makes the system mechanically robust and easy to use. The present system has an output power of 50 mW and a line width of 280 kHz (HWHM). The laser radar system has been used in vibrometry measurements. For vibrometry of moving objects, adaptive signal processing is required in order to obtain the vibration signature. Especially for unresolved objects, interference between different vibrating parts will complicate the analysis. Modelbased estimation techniques are used to obtain the parameters which determine the dynamics of the reflecting object.

Keyword
Coherent laser radar, Vibrometry, Model based signal processing
National Category
Control Engineering
Identifiers
urn:nbn:se:liu:diva-93711 (URN)10.1117/12.212026 (DOI)9780819418258 (ISBN)
Conference
1995 SPIE Conference on Applied Laser Radar Technology II, USA, June, 1995
Available from: 2013-06-15 Created: 2013-06-10 Last updated: 2013-06-15
Renhorn, I., Karlsson, C., Letalick, D., Millnert, M. & Rutgers, R. (1995). Coherent Laser Radar for Vibrometry: Robust Design and Adaptive Signal Processing. Linköping: Linköping University
Open this publication in new window or tab >>Coherent Laser Radar for Vibrometry: Robust Design and Adaptive Signal Processing
Show others...
1995 (English)Report (Other academic)
Abstract [en]

A coherent laser radar system based on semiconductor laser technology has been designed and built. The compact design and the absence of adjustments makes the system mechanically robust and easy to use. The present system has an output power of 50 mW and a line width of 280 kHz (HWHM). The laser radar system has been used in vibrometry measurements. For vibrometry of moving objects, adaptive signal processing is required in order to obtain the vibration signature. Especially for unresolved objects, interference between different vibrating parts will complicate the analysis. Modelbased estimation techniques are used to obtain the parameters which determine the dynamics of the reflecting object.

Place, publisher, year, edition, pages
Linköping: Linköping University, 1995. p. 9
Series
LiTH-ISY-R, ISSN 1400-3902 ; 1764
Keyword
coherent laser radar, vibrometry, modelbased signal processing, Teknik Radar
National Category
Control Engineering
Identifiers
urn:nbn:se:liu:diva-55269 (URN)LITH-ISY-R-1764 (ISRN)
Available from: 2010-04-29 Created: 2010-04-29 Last updated: 2014-09-19Bibliographically approved
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