پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 158 |
| تعداد شماره‌ها | 6,240 |
| تعداد مقالات | 67,870 |
| تعداد مشاهده مقاله | 115,422,709 |
| تعداد دریافت فایل اصل مقاله | 90,191,598 |
مکان یابی وفقی موبایل به روش آزمون باقی‌مانده | ||
| Journal of Algorithms and Computation | ||
| مقاله 6، دوره 43، شماره 5، آذر 2009، صفحه 659-667 اصل مقاله (502.12 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jac.2013.7727 | ||
| نویسندگان | ||
| Parna Shabestari؛ Mohammad Hossein Kahaei* | ||
| چکیده | ||
| Determination of mobile localization with time of arrival (TOA) signal is a requirement in cellular mobile communication. In some of the previous methods, localization with non-line-of-sight (NLOS) paths can lead to large position error. Also for simplicity, in most simulations suppose non stationary actual environments as stationary. This paper proposes (residual test + recursive least square) ((RT+RLS)) that has a good application in non stationary environments. In this algorithm, residual test (RT) that can simultaneously determine the number of line- of-sight (LOS) base stations (BSs) and identify them. In simulation studies, the RT can determine the correct number of LOS-BS over 90% of the time. Then using TOA signals obtain these BSs as input of RLS algorithms and estimate mobile position in high attention and low calculation. | ||
| کلیدواژه‌ها | ||
| (Residual Test + Approximate Maximum Likelihood) ((RT+AML))؛ Residual Test (RT)؛ (Residual Test + Recursive Least Square) ((RT+RLS))؛ Non-Line-of-Sight (NLOS)؛ Time-of-Arrival (TOA) | ||
|
آمار تعداد مشاهده مقاله: 1,441 تعداد دریافت فایل اصل مقاله: 765 |
||