In this study, a neural network(NN) based algorithm is proposed for real time
multiple source tracking problem based on a previously reported work. The proposed
algorithm namely modified neural network based multiple source tracking algorithm
(MN-MUST) performs direction of arrival(DoA) estimation in three stages which are
the detection, filtering and DoA estimation stages. The main contributions of this
proposed system are: reducing the input size for the uncorrelated source case
(reducing the training time) of NN system without degradation of accuracy and
insertion of a nonlinear spatial filter to isolate each one of the sectors where sources
are present, from the others.
MN-MUST algorithm finds the targets correctly no matter whether the targets are
located within the same angular sector or not. In addition as the number of targets
exceeds the number of antenna elements the algorithm can still perform sufficiently
well. Mutual coupling in array does not influence MN-MUST algorithm
performance.
iv
MN-MUST algorithm is further improved for a cylindrical microstrip patch antenna
array by using the advantages of directive antenna pattern properties. The new
algorithm is called cylindrical patch array MN-MUST(CMN-MUST). CMN-MUST
algorithm consists of three stages as MN-MUST does. Detection stage is exactly the
same as in MN-MUST. However spatial filtering and DoA estimation stage are
reduced order by using the advantages of directive antenna pattern of cylindirical
microstrip patch array.
The performance of the algorithm is investigated via computer simulations, for
uniform linear arrays, a six element uniform dipole array and a twelve element
uniform cylindrical microstrip patch array. The simulation results are compared to
the previously reported works and the literature. It is observed that the proposed
algorithm improves the previously reported works. The algorithm accuracy does not
degrade in the presence of the mutual coupling. A uniform cylindrical patch array is
successfully implemented to the MN-MUST algorithm. The implementation does not
only cover full azimuth, but also improv the accuracy and speed. It is observed that
the MN-MUST algorithm provides an accurate and efficient solution to the targettracking
problem in real time.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12608838/index.pdf |
| Date | 01 September 2007 |
| Creators | Caylar, Selcuk |
| Contributors | Dural, Gulbin |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | Ph.D. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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