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Second-Order Kalman Filtering Applic...

ProQuest Information and Learning Co.

Second-Order Kalman Filtering Application to Fading Channels Supported by Real Data.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Second-Order Kalman Filtering Application to Fading Channels Supported by Real Data./
作者:	Kapetanovic, Azra.
面頁冊數:	1 online resource (143 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
Contained By:	Dissertation Abstracts International79-03B(E).
標題:	Electrical engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780355312799

Second-Order Kalman Filtering Application to Fading Channels Supported by Real Data.
Kapetanovic, Azra.

Second-Order Kalman Filtering Application to Fading Channels Supported by Real Data. - 1 online resource (143 pages)

Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.

Thesis (Ph.D.)--Oakland University, 2017.

Includes bibliographical references

The lack of effective techniques for estimation of shadow power in fading mobile wireless communication channels motivated the use of Kalman Filtering as a promising alternative. In this research, linear second-order state space Kalman Filtering is further investigated and tested for applicability. This is important topic because optimizing the estimates of received power signals will improve control of handoffs.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355312799Subjects--Topical Terms:

596380
Electrical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Second-Order Kalman Filtering Application to Fading Channels Supported by Real Data.
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035 $a AAI10604340
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Kapetanovic, Azra. $3 1195509
245 1 0 $a Second-Order Kalman Filtering Application to Fading Channels Supported by Real Data.
264 0 $c 2017
300 $a 1 online resource (143 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 79-03(E), Section: B.
500 $a Adviser: Mohamed A. Zohdy.
502 $a Thesis (Ph.D.)--Oakland University, 2017.
504 $a Includes bibliographical references
520 $a The lack of effective techniques for estimation of shadow power in fading mobile wireless communication channels motivated the use of Kalman Filtering as a promising alternative. In this research, linear second-order state space Kalman Filtering is further investigated and tested for applicability. This is important topic because optimizing the estimates of received power signals will improve control of handoffs.
520 $a Simulation models in MATLAB environment were developed and used extensively in the initial stage of this research to validate the proposed theory. The second phase of research took place at laboratory facility in 2015 and aimed to further confirm validation of the concept through experiments supported by data from real scenarios. Finally, the concept was extended to field experiments. These laboratory and field experiments confirmed validation of simulation model and proposed algorithm.
520 $a Research results have shown that the linear second-order KF-based estimator can be more accurate in predicting local shadow power profiles than the first-order Kalman Filter-based estimator, even in channels with imposed non-Gaussian measurement noise.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 596380
655 7 $a Electronic books. $2 local $3 554714
690 $a 0544
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Oakland University. $b Engineering. $3 1182277
773 0 $t Dissertation Abstracts International $g 79-03B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10604340 $z click for full text (PQDT)

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