Отрывок: Matrix P(k)t|t−1 has the physical meaning of variance of the state prediction error, x(k)t − xˆ(k)t|t−1, and therefore has to be nonnegative-definite. As mentioned in [21], round-off errors may destroy this property thus resulting in a failure of filter Fk. The problem of machine round-off errors is unavoidable due to the limited machine precision of real floating-point numbers. Unfortunately, it is impossible to fully remedy the probl...
Полная запись метаданных
Поле DC | Значение | Язык |
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dc.contributor.author | Semushin, I.V. | - |
dc.contributor.author | Tsyganova, Yu.V. | - |
dc.contributor.author | Tsyganov, A.V. | - |
dc.contributor.author | Prokhorova, E.F. | - |
dc.date.accessioned | 2017-05-25 13:33:54 | - |
dc.date.available | 2017-05-25 13:33:54 | - |
dc.date.issued | 2017 | - |
dc.identifier | Dspace\SGAU\20170522\64098 | ru |
dc.identifier.citation | Semushin I.V. Numerically Efficient Kalman Filter Based Channel Estimation for OFDM Data Transmission / I.V. Semushin, Yu.V. Tsyganova, A.V. Tsyganov, E.F. Prokhorova // Сборник трудов III международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2017) - Самара: Новая техника, 2017. - С. 1694-1701. | ru |
dc.identifier.uri | http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Numerically-Efficient-Kalman-Filter-Based-Channel-Estimation-for-OFDM-Data-Transmission-64098 | - |
dc.description.abstract | Channel estimation and prediction algorithms are developed for use in broadband OFDM data transmission over non-ideal channels. The scalar complex channel coefficients are described by Gauss–Markov AR models of a given order in state space form to model the channel fading statistics. On this basis, the conventional Kalman filtering and prediction algorithm (CKFPA) is presented as a starting point for further development. A novel numerically stable channel estimation algorithm based on the original KFPA solution, the so-called extended Array UD Covariance Filter (eUD-CF) algorithm, is developed. The accuracy of the eUD-CF estimator is analyzed by the method of computational experimentation. The simulation results demonstrate that the developed algorithm can effectively restrain the CKFPAs instability problem. The aspects of a parallel implementation of the suggested algorithms are also considered. | ru |
dc.language.iso | en | ru |
dc.publisher | Новая техника | ru |
dc.subject | data transmission | ru |
dc.subject | Kalman filtering | ru |
dc.subject | channel estimation | ru |
dc.subject | UD-based algorithms | ru |
dc.title | Numerically Efficient Kalman Filter Based Channel Estimation for OFDM Data Transmission | ru |
dc.type | Article | ru |
dc.textpart | Matrix P(k)t|t−1 has the physical meaning of variance of the state prediction error, x(k)t − xˆ(k)t|t−1, and therefore has to be nonnegative-definite. As mentioned in [21], round-off errors may destroy this property thus resulting in a failure of filter Fk. The problem of machine round-off errors is unavoidable due to the limited machine precision of real floating-point numbers. Unfortunately, it is impossible to fully remedy the probl... | - |
Располагается в коллекциях: | Информационные технологии и нанотехнологии |
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Файл | Описание | Размер | Формат | |
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paper 306_1694-1701.pdf | Основная статья | 438.53 kB | Adobe PDF | Просмотреть/Открыть |
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