Autonomously Tunable Filters for Interference Mitigation: Advances in Autonomously Switchable/Tunable RF/Microwave Filters for Interference Mitigation Without Operator Intervention

Shin, Sanghoon; Naglich, Eric J.; Guyette, Andrew C.

doi:10.1109/mmm.2020.2979356

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…The working principle of the filters is to make the signals of specific frequencies pass through the special design, at the same time, signals of other frequencies are filtered out. Filters are widely used in information systems because of their excellent performance [1][2][3][4][5][6][7]. Up till now, with the developments of active devices, tunable filters equipped with active devices begin to replace the original passive filters.…”

Section: Introductionmentioning

confidence: 99%

A tunable filter with long hole resonance structure

Zhou

Xia

Wang

et al. 2022

Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022)

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In this paper, a new type of electrically tunable filter is designed based on the long hole structure. The results show that the frequency adjustable range of the new filter is from 210MHz to 350MHz, the bandwidth is more than 3%, the insertion loss is not more than -3dB and the insertion loss is better than -14dB, respectively. The electrical performance of the new filter is better than that of the original comb line filter and the weight is 0.3Kg, which is only 30% of the original electrically tunable filter. The results show that the design method of the long hole structure is reasonable and has excellent performance. This new kind of filter would have good application prospect in EMC design.

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Section: Introductionmentioning

confidence: 99%

A tunable filter with long hole resonance structure

Zhou

Xia

Wang

et al. 2022

Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022)

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Electrically Tunable Microstrip U-Slot Antenna Using Ferroelectric BST Thin Film

Alhassoon,

Malallah,

Daryoush

2023

2023 IEEE International Symposium on Antennas and Propagation (ISAP)

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A Bayesian Tensor Decomposition Method for Joint Estimation of Channel and Interference Parameters

Sun,

Wang,

Wang

et al. 2024

Sensors

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Bayesian tensor decomposition has been widely applied in channel parameter estimations, particularly in cases with the presence of interference. However, the types of interference are not considered in Bayesian tensor decomposition, making it difficult to accurately estimate the interference parameters. In this paper, we present a robust tensor variational method using a CANDECOMP/PARAFAC (CP)-based additive interference model for multiple input–multiple output (MIMO) with orthogonal frequency division multiplexing (OFDM) systems. A more realistic interference model compared to traditional colored noise is considered in terms of co-channel interference (CCI) and front-end interference (FEI). In contrast to conventional algorithms that filter out interference, the proposed method jointly estimates the channel and interference parameters in the time–frequency domain. Simulation results validate the correctness of the proposed method by the evidence lower bound (ELBO) and reveal the fact that the proposed method outperforms traditional information-theoretic methods, tensor decomposition models, and robust model based on CP (RCP) in terms of estimation accuracy. Further, the interference parameter estimation technique has profound implications for anti-interference applications and dynamic spectrum allocation.

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Autonomously Tunable Filters for Interference Mitigation: Advances in Autonomously Switchable/Tunable RF/Microwave Filters for Interference Mitigation Without Operator Intervention

Cited by 3 publications

References 7 publications

A tunable filter with long hole resonance structure

A tunable filter with long hole resonance structure

Electrically Tunable Microstrip U-Slot Antenna Using Ferroelectric BST Thin Film

A Bayesian Tensor Decomposition Method for Joint Estimation of Channel and Interference Parameters

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