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Adaptive Filter Design
The Experts below are selected from a list of 7491 Experts worldwide ranked by ideXlab platform
Sergiy A Vorobyov – One of the best experts on this subject based on the ideXlab platform.
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joint space slow time transmission with unimodular waveforms and receive Adaptive Filter Design for radar
International Conference on Acoustics Speech and Signal Processing, 2018Co-Authors: Sergiy A VorobyovAbstract:A novel computationally efficient method for jointly Designing the space-(slow) time (SST) transmission with unimodular waveforms and receive Adaptive Filter is developed for different radar configurations. The range sidelobe effect and Doppler characteristics are considered. In particular, we develop a novel approach for jointly synthesizing unimodular SST waveforms and minimum variance distortionless response receive Adaptive Filter for two cases of known Doppler information and presence of uncertainties on clutter bins. Corresponding non-convex optimization problems are formulated and efficient algorithms are derived. The main ideas of the algorithm developments are to decouple composite objective function of the formulated problems, generate minorizing surrogates, and then solve the joint Design problem iteratively, but in closed-form for each iteration by means of minorization – maximization technique. The proposed algorithms demonstrate good performance and have fast convergence speed and low complexity.
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ICASSP – Joint Space-(Slow) Time Transmission with Unimodular Waveforms and Receive Adaptive Filter Design for Radar
2018 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2018Co-Authors: Sergiy A VorobyovAbstract:A novel computationally efficient method for jointly Designing the space-(slow) time (SST) transmission with unimodular waveforms and receive Adaptive Filter is developed for different radar configurations. The range sidelobe effect and Doppler characteristics are considered. In particular, we develop a novel approach for jointly synthesizing unimodular SST waveforms and minimum variance distortionless response receive Adaptive Filter for two cases of known Doppler information and presence of uncertainties on clutter bins. Corresponding non-convex optimization problems are formulated and efficient algorithms are derived. The main ideas of the algorithm developments are to decouple composite objective function of the formulated problems, generate minorizing surrogates, and then solve the joint Design problem iteratively, but in closed-form for each iteration by means of minorization – maximization technique. The proposed algorithms demonstrate good performance and have fast convergence speed and low complexity.
Mahdi Torabian Esfahani – One of the best experts on this subject based on the ideXlab platform.
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Adaptive Filter Design based on the lms algorithm for delay elimination in tcr fc compensators
Isa Transactions, 2011Co-Authors: Rahmat-allah Hooshmand, Mahdi Torabian EsfahaniAbstract:Thyristor controlled reactor with fixed capacitor (TCR/FC) compensators have the capability of compensating reactive power and improving power quality phenomena. Delay in the response of such compensators degrades their performance. In this paper, a new method based on Adaptive Filters (AF) is proposed in order to eliminate delay and increase the response of the TCR compensator. The algorithm Designed for the Adaptive Filters is performed based on the least mean square (LMS) algorithm. In this Design, instead of fixed capacitors, band-pass LC Filters are used. To evaluate the Filter, a TCR/FC compensator was used for nonlinear and time varying loads of electric arc furnaces (EAFs). These loads caused occurrence of power quality phenomena in the supplying system, such as voltage fluctuation and flicker, odd and even harmonics and unbalancing in voltage and current. The above Design was implemented in a realistic system model of a steel complex. The simulation results show that applying the proposed control in the TCR/FC compensator efficiently eliminated delay in the response and improved the performance of the compensator in the power system.
Rahmat-allah Hooshmand – One of the best experts on this subject based on the ideXlab platform.
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Adaptive Filter Design based on the lms algorithm for delay elimination in tcr fc compensators
Isa Transactions, 2011Co-Authors: Rahmat-allah Hooshmand, Mahdi Torabian EsfahaniAbstract:Thyristor controlled reactor with fixed capacitor (TCR/FC) compensators have the capability of compensating reactive power and improving power quality phenomena. Delay in the response of such compensators degrades their performance. In this paper, a new method based on Adaptive Filters (AF) is proposed in order to eliminate delay and increase the response of the TCR compensator. The algorithm Designed for the Adaptive Filters is performed based on the least mean square (LMS) algorithm. In this Design, instead of fixed capacitors, band-pass LC Filters are used. To evaluate the Filter, a TCR/FC compensator was used for nonlinear and time varying loads of electric arc furnaces (EAFs). These loads caused occurrence of power quality phenomena in the supplying system, such as voltage fluctuation and flicker, odd and even harmonics and unbalancing in voltage and current. The above Design was implemented in a realistic system model of a steel complex. The simulation results show that applying the proposed control in the TCR/FC compensator efficiently eliminated delay in the response and improved the performance of the compensator in the power system.
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Adaptive Filter Design based on the LMS algorithm for delay elimination in TCR/FC compensators.
ISA Transactions, 2011Co-Authors: Rahmat-allah Hooshmand, Torabian EsfahaniAbstract:Thyristor controlled reactor with fixed capacitor (TCR/FC) compensators have the capability of compensating reactive power and improving power quality phenomena. Delay in the response of such compensators degrades their performance. In this paper, a new method based on Adaptive Filters (AF) is proposed in order to eliminate delay and increase the response of the TCR compensator. The algorithm Designed for the Adaptive Filters is performed based on the least mean square (LMS) algorithm. In this Design, instead of fixed capacitors, band-pass LC Filters are used. To evaluate the Filter, a TCR/FC compensator was used for nonlinear and time varying loads of electric arc furnaces (EAFs). These loads caused occurrence of power quality phenomena in the supplying system, such as voltage fluctuation and flicker, odd and even harmonics and unbalancing in voltage and current. The above Design was implemented in a realistic system model of a steel complex. The simulation results show that applying the proposed control in the TCR/FC compensator efficiently eliminated delay in the response and improved the performance of the compensator in the power system.