The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Visa Koivunen - One of the best experts on this subject based on the ideXlab platform.
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detection and tracking of mimo Propagation Path parameters using state space approach
IEEE Transactions on Signal Processing, 2009Co-Authors: Jussi Salmi, Andreas Richter, Visa KoivunenAbstract:This paper describes a novel approach for detection, estimation and tracking of multiple-input multiple-output (MIMO) radio Propagation parameters from multidimensional channel sounding measurements. A realistic state-space model is developed for the purpose, and the extended Kalman filter (EKF) is applied in a particular computationally efficient form to track the geometrical double-directional Propagation Path parameters. The observation model utilizes the dense multiPath component (DMC), describing the distributed scattering in the channel, as part of the underlying noise process. The DMC model assumes an exponential profile in delay, and allows for an arbitrary angular distribution. In addition, a novel dynamic state dimension estimator using statistical goodness-of-fit tests is introduced. The employed methods are supported by illustrative estimation examples from MIMO channel sounding measurements.
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enhanced tracking of radio Propagation Path parameters using state space modeling
European Signal Processing Conference, 2006Co-Authors: Jussi Salmi, Andreas Richter, Visa KoivunenAbstract:Future wireless communication systems will exploit the rich spatial and temporal diversity of the radio Propagation environment. This requires new advanced channel models, which need to be verified by real-world channel sounding measurements. In this context the reliable estimation and tracking of the model parameters from measurement data is of particular interest. In this paper, we build a state-space model, and track the Propagation parameters with the Extended Kalman Filter in order to capture the dynamics of the channel parameters in time. We then extend the model by considering first order derivatives of the geometrical parameters, which enhances the tracking performance due to improved prediction and robustness against shadowing and fading. The model also includes the effect of distributed diffuse scattering in radio channels. The issue of varying state variable dimension, i.e., the number of Propagation Paths to track, is also addressed. The performance of the proposed algorithms is demonstrated using both simulated and measured data.
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state space approach to Propagation Path parameter estimation and tracking
International Workshop on Signal Processing Advances in Wireless Communications, 2005Co-Authors: Andreas Richter, Mihai Enescu, Visa KoivunenAbstract:In this paper we address the problem of Propagation Path parameter estimation in channel sounding. Propagation parameter estimation is crucial in creating realistic channel models that may be used to study the performance of multiantenna (MIMO) transceivers as well as in network planning. The proposed approach employs a nonlinear state-space model in order to capture the dynamics of the channel parameters in time. Both specular and diffuse components are considered. Extended Kalman filtering is used to estimate the state. The computational complexity is reduced by applying the matrix inversion lemma. Hence, significant savings in computation compared to conventional iterative methods is obtained. The method gives insight into the dynamic behavior of the Propagation parameters, allows parameter pairing over time and facilitates analyzing the Path lifetime in different measurement scenarios. The performance of the proposed technique is demonstrated using real-world channel sounding measurements.
Lajos Hanzo - One of the best experts on this subject based on the ideXlab platform.
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transmitter preprocessing assisted cooperative downlink transmission in ds cdma systems experiencing Propagation Path loss and nakagami m fading
IEEE Transactions on Vehicular Technology, 2009Co-Authors: Wei Fang, Lieliang Yang, Lajos HanzoAbstract:In this paper, we propose and investigate a relay-diversity transmission scheme for the direct-sequence code-division multiple-access (DS-CDMA) downlink, where each (destination) mobile terminal (MT) is aided by a cluster of relays to achieve the relay diversity. In the considered system, downlink multiuser interference (MUI) is suppressed with the aid of transmitter preprocessing operated at the base station (BS). Two transmitter preprocessing schemes are considered, which are operated in the principles of transmitter zero forcing (TZF) and transmitter minimum mean square error (TMMSE). At the MTs, signals received from the BS and relays are combined based on the principles of maximal ratio combining (MRC) or maximum signal-to-interference-plus-noise ratio (MSINR). In this paper, the bit-error-rate (BER) performance of the relay-assisted DS-CDMA downlink is investigated when the communication channels are assumed to experience both Propagation Path loss and generalized Nakagami- m fading. Our study and simulation results show that the transmitter preprocessing can help to achieve the relay diversity by efficiently mitigating the MUI present at the relays and MTs. Furthermore, in our proposed relay-diversity scheme, the relays only require low-complexity signal processing to forward information to their served MTs.
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transmitter preprocessing assisted cooperative downlink transmission in ds cdma systems experiencing Propagation Path loss and
2009Co-Authors: Wei Fang, Lieliang Yang, Lajos HanzoAbstract:In this paper, we propose and investigate a relay- diversity transmission scheme for the direct-sequence code- division multiple-access (DS-CDMA) downlink, where each (destination) mobile terminal (MT) is aided by a cluster of re- lays to achieve the relay diversity. In the considered system, downlink multiuser interference (MUI) is suppressed with the aid of transmitter preprocessing operated at the base station (BS). Two transmitter preprocessing schemes are considered, which are operated in the principles of transmitter zero forcing (TZF) and transmitter minimum mean square error (TMMSE). At the MTs, signals received from the BS and relays are combined based on the principles of maximal ratio combining (MRC) or maximum signal-to-interference-plus-noise ratio (MSINR). In this paper, the bit-error-rate (BER) performance of the relay-assisted DS-CDMA downlink is investigated when the communication channels are assumed to experience both Propagation Path loss and generalized Nakagami-m fading. Our study and simulation results show that the transmitter preprocessing can help to achieve the relay diver- sity by efficiently mitigating the MUI present at the relays and MTs. Furthermore, in our proposed relay-diversity scheme, the relays only require low-complexity signal processing to forward information to their served MTs. Index Terms—Cooperation, direct-sequence code-division mul- tiple access (DS-CDMA), minimum mean square error (MMSE), power allocation, relay diversity, transmitter preprocessing, zero forcing (ZF).
Wei Fang - One of the best experts on this subject based on the ideXlab platform.
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transmitter preprocessing assisted cooperative downlink transmission in ds cdma systems experiencing Propagation Path loss and nakagami m fading
IEEE Transactions on Vehicular Technology, 2009Co-Authors: Wei Fang, Lieliang Yang, Lajos HanzoAbstract:In this paper, we propose and investigate a relay-diversity transmission scheme for the direct-sequence code-division multiple-access (DS-CDMA) downlink, where each (destination) mobile terminal (MT) is aided by a cluster of relays to achieve the relay diversity. In the considered system, downlink multiuser interference (MUI) is suppressed with the aid of transmitter preprocessing operated at the base station (BS). Two transmitter preprocessing schemes are considered, which are operated in the principles of transmitter zero forcing (TZF) and transmitter minimum mean square error (TMMSE). At the MTs, signals received from the BS and relays are combined based on the principles of maximal ratio combining (MRC) or maximum signal-to-interference-plus-noise ratio (MSINR). In this paper, the bit-error-rate (BER) performance of the relay-assisted DS-CDMA downlink is investigated when the communication channels are assumed to experience both Propagation Path loss and generalized Nakagami- m fading. Our study and simulation results show that the transmitter preprocessing can help to achieve the relay diversity by efficiently mitigating the MUI present at the relays and MTs. Furthermore, in our proposed relay-diversity scheme, the relays only require low-complexity signal processing to forward information to their served MTs.
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transmitter preprocessing assisted cooperative downlink transmission in ds cdma systems experiencing Propagation Path loss and
2009Co-Authors: Wei Fang, Lieliang Yang, Lajos HanzoAbstract:In this paper, we propose and investigate a relay- diversity transmission scheme for the direct-sequence code- division multiple-access (DS-CDMA) downlink, where each (destination) mobile terminal (MT) is aided by a cluster of re- lays to achieve the relay diversity. In the considered system, downlink multiuser interference (MUI) is suppressed with the aid of transmitter preprocessing operated at the base station (BS). Two transmitter preprocessing schemes are considered, which are operated in the principles of transmitter zero forcing (TZF) and transmitter minimum mean square error (TMMSE). At the MTs, signals received from the BS and relays are combined based on the principles of maximal ratio combining (MRC) or maximum signal-to-interference-plus-noise ratio (MSINR). In this paper, the bit-error-rate (BER) performance of the relay-assisted DS-CDMA downlink is investigated when the communication channels are assumed to experience both Propagation Path loss and generalized Nakagami-m fading. Our study and simulation results show that the transmitter preprocessing can help to achieve the relay diver- sity by efficiently mitigating the MUI present at the relays and MTs. Furthermore, in our proposed relay-diversity scheme, the relays only require low-complexity signal processing to forward information to their served MTs. Index Terms—Cooperation, direct-sequence code-division mul- tiple access (DS-CDMA), minimum mean square error (MMSE), power allocation, relay diversity, transmitter preprocessing, zero forcing (ZF).
Jussi Salmi - One of the best experts on this subject based on the ideXlab platform.
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detection and tracking of mimo Propagation Path parameters using state space approach
IEEE Transactions on Signal Processing, 2009Co-Authors: Jussi Salmi, Andreas Richter, Visa KoivunenAbstract:This paper describes a novel approach for detection, estimation and tracking of multiple-input multiple-output (MIMO) radio Propagation parameters from multidimensional channel sounding measurements. A realistic state-space model is developed for the purpose, and the extended Kalman filter (EKF) is applied in a particular computationally efficient form to track the geometrical double-directional Propagation Path parameters. The observation model utilizes the dense multiPath component (DMC), describing the distributed scattering in the channel, as part of the underlying noise process. The DMC model assumes an exponential profile in delay, and allows for an arbitrary angular distribution. In addition, a novel dynamic state dimension estimator using statistical goodness-of-fit tests is introduced. The employed methods are supported by illustrative estimation examples from MIMO channel sounding measurements.
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enhanced tracking of radio Propagation Path parameters using state space modeling
European Signal Processing Conference, 2006Co-Authors: Jussi Salmi, Andreas Richter, Visa KoivunenAbstract:Future wireless communication systems will exploit the rich spatial and temporal diversity of the radio Propagation environment. This requires new advanced channel models, which need to be verified by real-world channel sounding measurements. In this context the reliable estimation and tracking of the model parameters from measurement data is of particular interest. In this paper, we build a state-space model, and track the Propagation parameters with the Extended Kalman Filter in order to capture the dynamics of the channel parameters in time. We then extend the model by considering first order derivatives of the geometrical parameters, which enhances the tracking performance due to improved prediction and robustness against shadowing and fading. The model also includes the effect of distributed diffuse scattering in radio channels. The issue of varying state variable dimension, i.e., the number of Propagation Paths to track, is also addressed. The performance of the proposed algorithms is demonstrated using both simulated and measured data.
Andreas Richter - One of the best experts on this subject based on the ideXlab platform.
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detection and tracking of mimo Propagation Path parameters using state space approach
IEEE Transactions on Signal Processing, 2009Co-Authors: Jussi Salmi, Andreas Richter, Visa KoivunenAbstract:This paper describes a novel approach for detection, estimation and tracking of multiple-input multiple-output (MIMO) radio Propagation parameters from multidimensional channel sounding measurements. A realistic state-space model is developed for the purpose, and the extended Kalman filter (EKF) is applied in a particular computationally efficient form to track the geometrical double-directional Propagation Path parameters. The observation model utilizes the dense multiPath component (DMC), describing the distributed scattering in the channel, as part of the underlying noise process. The DMC model assumes an exponential profile in delay, and allows for an arbitrary angular distribution. In addition, a novel dynamic state dimension estimator using statistical goodness-of-fit tests is introduced. The employed methods are supported by illustrative estimation examples from MIMO channel sounding measurements.
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enhanced tracking of radio Propagation Path parameters using state space modeling
European Signal Processing Conference, 2006Co-Authors: Jussi Salmi, Andreas Richter, Visa KoivunenAbstract:Future wireless communication systems will exploit the rich spatial and temporal diversity of the radio Propagation environment. This requires new advanced channel models, which need to be verified by real-world channel sounding measurements. In this context the reliable estimation and tracking of the model parameters from measurement data is of particular interest. In this paper, we build a state-space model, and track the Propagation parameters with the Extended Kalman Filter in order to capture the dynamics of the channel parameters in time. We then extend the model by considering first order derivatives of the geometrical parameters, which enhances the tracking performance due to improved prediction and robustness against shadowing and fading. The model also includes the effect of distributed diffuse scattering in radio channels. The issue of varying state variable dimension, i.e., the number of Propagation Paths to track, is also addressed. The performance of the proposed algorithms is demonstrated using both simulated and measured data.
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state space approach to Propagation Path parameter estimation and tracking
International Workshop on Signal Processing Advances in Wireless Communications, 2005Co-Authors: Andreas Richter, Mihai Enescu, Visa KoivunenAbstract:In this paper we address the problem of Propagation Path parameter estimation in channel sounding. Propagation parameter estimation is crucial in creating realistic channel models that may be used to study the performance of multiantenna (MIMO) transceivers as well as in network planning. The proposed approach employs a nonlinear state-space model in order to capture the dynamics of the channel parameters in time. Both specular and diffuse components are considered. Extended Kalman filtering is used to estimate the state. The computational complexity is reduced by applying the matrix inversion lemma. Hence, significant savings in computation compared to conventional iterative methods is obtained. The method gives insight into the dynamic behavior of the Propagation parameters, allows parameter pairing over time and facilitates analyzing the Path lifetime in different measurement scenarios. The performance of the proposed technique is demonstrated using real-world channel sounding measurements.
