Bayesian Methods in the Search for MH370
This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, env...
保存先:
| 主要な著者: | , , , , |
|---|---|
| 団体著者: | |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Singapore :
Springer Singapore : Imprint: Springer,
2016.
|
| シリーズ: | SpringerBriefs in Electrical and Computer Engineering,
|
| 主題: | |
| オンライン･アクセス: | http://dx.doi.org/10.1007/978-981-10-0379-0 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
| 要約: | This book demonstrates how nonlinear/non-Gaussian Bayesian time series estimation methods were used to produce a probability distribution of potential MH370 flight paths. It provides details of how the probabilistic models of aircraft flight dynamics, satellite communication system measurements, environmental effects and radar data were constructed and calibrated. The probability distribution was used to define the search zone in the southern Indian Ocean. The book describes particle-filter based numerical calculation of the aircraft flight-path probability distribution and validates the method using data from several of the involved aircraft’s previous flights. Finally it is shown how the Reunion Island flaperon debris find affects the search probability distribution. |
|---|---|
| 物理的記述: | XVI, 114 p. 51 illus., 2 illus. in color. online resource. |
| ISBN: | 9789811003790 |
| ISSN: | 2191-8112 |
| DOI: | 10.1007/978-981-10-0379-0 |
| アクセス: | Open Access |