Adaptive Beamforming Using the Reconfigurable MONTIUM TP

Current tools for embedded system design have limited support for modelling the interaction of the system with its physical environment. Furthermore, the natural representation of (streaming, real-time) applications with dataflow models is not supported by most tools. However, integrating multiple domains supports the design of complex interdisciplinary systems and enables model transformations.In this paper we discuss a unified approach, called UniTi, to handle continuous and discrete time models in a single framework, which includes the dataflow model as well. Our approach consists of a transformational design flow, expressed mathematically in a functional language. We formally distinguish the various domains and explain their interaction. In addition, we give guidelines for specifying algorithms such that these transformations can be applied. Our approach is illustrated with a non-trivial case study: beamforming in a phased array system.Index Terms-embedded system, system design flow, modelbased design, model transformations, multi-domain This research is partly funded by Thales Nederland B.V. and STW projects CMOS Beamforming (07620) and NEST (10346).

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“…For brevity the beam-control processing is left out. See [15] for more about beam-control processing on a multi-core platform.…”

Section: B Co-design (Semantic Model)mentioning

confidence: 99%

Multi-domain transformational design flow for embedded systems

Rovers

Burgwal

Kuper

et al. 2011

2011 International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation

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“…Another beamformer implementation involves delta-sigma modulation, and the beamformer is applied to medical ultrasonic application [31]. There are also implementation for antenna signals [32] or for audio applications [33]. However, these studies do not consider subband processing and have not considered parallel filter structure.…”

Section: Introductionmentioning

confidence: 99%

A parallel beamforming system with real-time implementation

Yiu

2019

Multimed Tools Appl

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For voice control applications, it is common to employ a microphone array to enhance received signals via beamforming techniques. In designing beamformers, different criteria will lead to different signal performance. It is known that speech recognition accuracy relies heavily on the trade-off between signal distortion and noise reduction. In this paper, we propose a novel beamformer structure which can give a continuous profile in signal distortion and noise reduction. The proposed structure combines two existing optimal beamformers to form the final filter. Moreover, since both optimal beamforming filters can be executed in parallel, a method is proposed to implement the noise reduction algorithm in the frequency domain. By studying the accuracy and efficiency of different modules, a hybrid fixed-floating point arithmetic is proposed within an FPGA hardware architecture to form an embedded system for industrial applications.

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Hierarchical MFMO Circuit Modules for an Energy-Efficient SDR DBF

Mar

Kuo

et al. 2012

IEICE Trans. Inf. & Syst.

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SUMMARYThe hierarchical multi-function matrix operation (MFMO) circuit modules are designed using coordinate rotations digital computer (CORDIC) algorithm for realizing the intensive computation of matrix operations. The paper emphasizes that the designed hierarchical MFMO circuit modules can be used to develop a power-efficient software-defined radio (SDR) digital beamformer (DBF). The formulas of the processing time for the scalable MFMO circuit modules implemented in field programmable gate array (FPGA) are derived to allocate the proper logic resources for the hardware reconfiguration. The hierarchical MFMO circuit modules are scalable to the changing number of array branches employed for the SDR DBF to achieve the purpose of power saving. The efficient reuse of the common MFMO circuit modules in the SDR DBF can also lead to energy reduction. Finally, the power dissipation and reconfiguration function in the different modes of the SDR DBF are observed from the experiment results.

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Adaptive Beamforming Using the Reconfigurable MONTIUM TP

Cited by 3 publications

References 20 publications

Multi-domain transformational design flow for embedded systems

Multi-domain transformational design flow for embedded systems

A parallel beamforming system with real-time implementation

Hierarchical MFMO Circuit Modules for an Energy-Efficient SDR DBF

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