FPGA based FRM GDFT filter banks

Wu, Fangzhou; Villing, Rudi

doi:10.1109/issc.2016.7528473

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…They have also been used as spectrum analyzers, as described by Fahmy in 2010 [10]. It is interersting to note that in [11] PFBs are combined with Frequency Response Masking (FRM) filters instead of FIR filters. Wu also described an FPGA based polyphase channelizer with odd or even stacking support and optional oversampling [12].…”

Section: Related Workmentioning

confidence: 99%

Reconfigurable FPGA-Based Channelization Using Polyphase Filter Banks for Quantum Computing Systems

Pfau

Figuli

Bähr

et al. 2018

Applied Reconfigurable Computing. Architectures, Tools, and Applications

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Recently proposed quantum systems use frequency multiplexed qubit technology for readout electronics rather than analog circuitry, to increase cost effectiveness of the system. In order to restore individual channels for further processing, these systems require a demultiplexing or channelization approach which can process high data rates with low latency and uses few hardware resources. In this paper, a low latency, adaptable, FPGA-based channelizer using the Polyphase Filter Bank (PFB) signal processing algorithm is presented. As only a single prototype lowpass filter needs to be designed to process all channels, PFBs can be easily adapted to different requirements and further allow for simplified filter design. Due to reutilization of the same filter for each channel they also reduce hardware resource utilization when compared to the traditional Digital Down Conversion approach. The realized system architecture is extensively generic, allowing the user to select from different numbers of channels, sample bit widths and throughput specifications. For a test setup using a 28 coefficient transpose filter and 4 output channels, the proposed architecture yields a throughput of 12.8 Gb/s with a latency of 7 clock cycles.

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Section: Related Workmentioning

confidence: 99%

Reconfigurable FPGA-Based Channelization Using Polyphase Filter Banks for Quantum Computing Systems

Pfau

Figuli

Bähr

et al. 2018

Applied Reconfigurable Computing. Architectures, Tools, and Applications

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“…As the up-sampling will cause the system sampling rate and data processing rate multiplied, which can be clearly observed in the integrated filter bank efficient structure based on DFT, the structure of the sampling module will be placed at the end of the system, this can ensure that the entire system has a lower sampling rate to speed up the data processing rate. The efficient structure push forward traditional system to a wider applicability of the non-largest extraction system, whose the prototype filter design is simple, and in the same constraints, that can reduce the amount of computing and hardware resource loss [9] [10] [11].…”

Section: Structural Design Of Integrated Filter Banks Based On Dftmentioning

confidence: 99%

Design of Dynamic Reconfigurable Structure Based on Integrated Filter Banks

Zhang¹,

Zhou²,

Dou³

2017

IJCNS

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In electronic confrontation, radar confrontation is an important part. Various radars widely used in modern warfare are the most important equipment in the field of information acquisition and precision guidance. Especially in the vast battle space, in order to achieve timely, accurate and comprehensive access to various target information, the role of radar is irreplaceable. Especially in the vast battle space, the role of radar is irreplaceable in order to achieve timely, accurate and comprehensive access to various target information. Therefore, in the war, it will not be able to protect their own survival and play combat effectiveness if not having the radar's ability to fight. At this time, that is the need for radar equipment in time to detect radar exposure, rapid measurement of radar signal parameters and identify threat signals, and targeted to do the implementation of interference or the implementation of technical attacks. In order to extract the parameters of the received signal to facilitate the subsequent research and analysis, this paper deduces the structure of the integrated filter bank in detail, and gives the reconfigurable filter bank structure design method, under the condition of accurate reconstruction of the signal. Based on the analysis of the design and calculation complexity of the filter bank structure, the dynamic reconfigurable design method consumes less hardware resources and wide application range, and the simulation structure also verifies the correctness and flexibility of the structure.

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