عناصر مشابهة
Kalman-Filter Channel Estimator for OFDM System in Time-Varying Channel
| المصدر: | مجلة العلوم والدراسات الإنسانية |
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| الناشر: |
جامعة بنغازي - كلية الآداب والعلوم بالمرج
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| المؤلف الرئيسي: | |
| مؤلفين آخرين: | |
| المجلد/العدد: | ع23 |
| محكمة: | نعم |
| الدولة: | ليبيا |
| التاريخ الميلادي: | 2016 |
| الصفحات: | 1 - 4 |
| DOI: | 10.37376/1571-000-023-009 |
| ISSN: | 2312-4962 |
| رقم MD: | 763524 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | English |
| قواعد المعلومات: | HumanIndex |
| مواضيع: | |
| رابط المحتوى: |
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| المستخلص: | This paper presents a method of improving the least square channel estimator accuracy without increasing the pilot density. The Kalman filter process equation can be represented as Autoregressive model, and the least square channel estimate is seen as a noisy measurement of the true channel state, so the Kalman filter measurement equation can be represented as the least square estimated channel. The process equation and the measurement equation jointly form a state space model of the dynamic of the channel. Thus the Kalman filter can be used to estimate the state variable, i.e., the time varying channel. The Kalman filter based channel estimator leads to a significant gain in performance as compared to the least square channel estimator. |
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