Location determination using radio frequency RSSI and deterministic algorithm
In this study, we propose a simple procedure for obtaining estimate of the concentration parameter of the von Mises distribution for the simultaneous circular functional relationship model. Currently, the concentration parameter for this model can only be estimate by assuming the ratio of the error...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
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2008
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| _version_ | 1796944847471378432 |
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| author | Hussin, A.G. Hassan, S.F. Zubairi, Y.Z. Zaharim, A. Sopian, K. |
| author_facet | Hussin, A.G. Hassan, S.F. Zubairi, Y.Z. Zaharim, A. Sopian, K. |
| author_sort | Hussin, A.G. |
| collection | UM |
| description | In this study, we propose a simple procedure for obtaining estimate of the concentration parameter of the von Mises distribution for the simultaneous circular functional relationship model. Currently, the concentration parameter for this model can only be estimate by assuming the ratio of the error concentration parameter lambda(j) is equal to one. This new proposed method can be applied for any value of lambda based on the expansion of the asymptotic power series of the modified Bessel function. Finally, the simulation study has been carried out to verify the accuracy of the new proposed procedure. |
| first_indexed | 2024-03-06T05:07:50Z |
| format | Conference or Workshop Item |
| id | um.eprints-2333 |
| institution | Universiti Malaya |
| last_indexed | 2024-03-06T05:07:50Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | um.eprints-23332014-12-11T06:52:31Z http://eprints.um.edu.my/2333/ Location determination using radio frequency RSSI and deterministic algorithm Hussin, A.G. Hassan, S.F. Zubairi, Y.Z. Zaharim, A. Sopian, K. QA75 Electronic computers. Computer science In this study, we propose a simple procedure for obtaining estimate of the concentration parameter of the von Mises distribution for the simultaneous circular functional relationship model. Currently, the concentration parameter for this model can only be estimate by assuming the ratio of the error concentration parameter lambda(j) is equal to one. This new proposed method can be applied for any value of lambda based on the expansion of the asymptotic power series of the modified Bessel function. Finally, the simulation study has been carried out to verify the accuracy of the new proposed procedure. 2008 Conference or Workshop Item PeerReviewed Hussin, A.G. and Hassan, S.F. and Zubairi, Y.Z. and Zaharim, A. and Sopian, K. (2008) Location determination using radio frequency RSSI and deterministic algorithm. In: 13th WSEAS International Conference on APPLIED MATHEMATICS, DEC 15-17, 2008, Puerto de la Cruz, SPAIN. http://apps.webofknowledge.com/full_record.do?product=UA&search_mode=Refine&qid=2&SID=N281Pb5dDLLCJF6LH96&page=22&doc=211&cacheurlFromRightClick=no |
| spellingShingle | QA75 Electronic computers. Computer science Hussin, A.G. Hassan, S.F. Zubairi, Y.Z. Zaharim, A. Sopian, K. Location determination using radio frequency RSSI and deterministic algorithm |
| title | Location determination using radio frequency RSSI and deterministic algorithm |
| title_full | Location determination using radio frequency RSSI and deterministic algorithm |
| title_fullStr | Location determination using radio frequency RSSI and deterministic algorithm |
| title_full_unstemmed | Location determination using radio frequency RSSI and deterministic algorithm |
| title_short | Location determination using radio frequency RSSI and deterministic algorithm |
| title_sort | location determination using radio frequency rssi and deterministic algorithm |
| topic | QA75 Electronic computers. Computer science |
| work_keys_str_mv | AT hussinag locationdeterminationusingradiofrequencyrssianddeterministicalgorithm AT hassansf locationdeterminationusingradiofrequencyrssianddeterministicalgorithm AT zubairiyz locationdeterminationusingradiofrequencyrssianddeterministicalgorithm AT zaharima locationdeterminationusingradiofrequencyrssianddeterministicalgorithm AT sopiank locationdeterminationusingradiofrequencyrssianddeterministicalgorithm |