A reconfigurable beamformer for audio applications

Theodoropoulos, Dimitris; Kuzmanov, Georgi; Gaydadjiev, Georgi

doi:10.1109/sasp.2009.5226341

Cited by 12 publications

(7 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such a file can be loaded into the MONTIUM TP in 3.55 µs. The precalculated LUTs for calculation of the sine and inverse both consist of [18], [19], which perform very good as they can be optimized to the application. However, configuration times are long (milli-second to second scale), so no processing is possible during that period.…”

Section: Implementation Resultsmentioning

confidence: 99%

Adaptive Beamforming Using the Reconfigurable MONTIUM TP

Burgwal

Rovers

Blom

et al. 2010

2010 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools

View full text Add to dashboard Cite

Abstract-Until a decade ago, the concept of phased array beamforming was mainly implemented with mechanical or analog solutions. Today, digital hardware has become powerful enough to perform the massive number of operations required for real-time digital beamforming. While more and more applications are using beamforming to improve the communication channel utilization both in space and frequency, many dedicated digital architectures are proposed for the processing. By using a reconfigurable architecture, the same hardware platform can be reused for different applications with different processing needs. In this paper, we present a reconfigurable Multi-processor System-onChip based solution for phased array processing that supports advanced tracking mechanisms to continuously receive signals with a mobile receiver. An adaptive beamformer for DVB-S satellite reception is presented, that uses a Constant Modulus Algorithm to track satellites. The processing of a receiver with 64 antennas and 3 beams is mapped on a reconfigurable processor named MONTIUM TP. The total implementation of such a receiver requires about 570 clock cycles on a single MONTIUM TP, but can also be partitioned over multiple MONTIUM TPs to support larger phased arrays.

show abstract

Section: Implementation Resultsmentioning

confidence: 99%

Adaptive Beamforming Using the Reconfigurable MONTIUM TP

Burgwal

Rovers

Blom

et al. 2010

2010 13th Euromicro Conference on Digital System Design: Architectures, Methods and Tools

View full text Add to dashboard Cite

show abstract

“…With current DSP technology, a system with a phased array antenna and an ADC/DAC connected to each element, where signals from all elements can be processed in real-time, would produce the most flexible DBF platform. Due to its flexibility, this technique has been applied to a variety of applications, such as telecommunications, radar, sonar and speech recognition [6], [7]. This section briefly presents how DBF is performed in the TIGER-3 radar system, with the required DBF accuracy specified.…”

Section: Digital Beam-forming and Accuracymentioning

confidence: 99%

Accurate Phase Calibration for Digital Beam-Forming in Multi-Transceiver HF Radar System

Nguyễn¹,

Whittington²,

Devlin³

et al. 2013

International Journal of Electronics and Telecommunications

View full text Add to dashboard Cite

Abstract-The TIGER-3 radar is being developed as an "all digital" radar with 20 integrated digital transceivers, each connected to a separate antenna. Using phased array antenna techniques, radiated power is steered towards a desired direction based on the relative phases within the array elements. This paper proposes an accurate phase measurement method to calibrate the phases of the radio output signals using Field Programmable Gate Array (FPGA) technology. The method sequentially measures the phase offset between the RF signal generated by each transceiver and a reference signal operated at the same frequency. Accordingly, the transceiver adjusts its phase in order to align to the reference phase. This results in accurately aligned phases of the RF output signals and with the further addition of appropriate phase offsets, digital beamforming (DBF) can be performed steering the beam in a desired direction. The proposed method is implemented on a Virtex-5 VFX70T device. Experimental results show that the calibration accuracy is of 0.153 degrees with 14 MHz operating frequency.

show abstract

“…MultiCore BF Microarchitecture. Our system is based on our reconfigurable BF design, originally presented in Theodoropoulos et al [2009], however, considerable improvements and design enhancements have been applied, in order to support the proposed custom architecture. Figure 4 illustrates the multicore implementation of our BF architecture.…”

Section: Reconfigurable Architecture Implementationmentioning

confidence: 99%

“…The main contribution of this article is the analytical presentation and evaluation of a custom BF architecture, originally proposed in Theodoropoulos et al [2010]. The microarchitectural support is based on our previously presented reconfigurable BF processor [Theodoropoulos et al 2009], and is specifically tailored to reconfigurable multicore implementations. We prove that our proposal combines the programming flexibility of software approaches with the high performance, low power consumption, and limited memory requirements of reconfigurable hardware solutions.…”

Section: Introductionmentioning

confidence: 99%

Custom architecture for multicore audio beamforming systems

Theodoropoulos

Kuzmanov

Gaydadjiev

2013

ACM Trans. Embed. Comput. Syst.

Self Cite

View full text Add to dashboard Cite

The audio Beamforming (BF) technique utilizes microphone arrays to extract acoustic sources recorded in a noisy environment. In this article, we propose a new approach for rapid development of multicore BF systems. Research on literature reveals that the majority of such experimental and commercial audio systems are based on desktop PCs, due to their high-level programming support and potential of rapid system development. However, these approaches introduce performance bottlenecks, excessive power consumption, and increased overall cost. Systems based on DSPs require very low power, but their performance is still limited. Custom hardware solutions alleviate the aforementioned drawbacks, however, designers primarily focus on performance optimization without providing a high-level interface for system control and test. In order to address the aforementioned problems, we propose a custom platform-independent architecture for reconfigurable audio BF systems. To evaluate our proposal, we implement our architecture as a heterogeneous multicore reconfigurable processor and map it onto FPGAs. Our approach combines the software flexibility of General-Purpose Processors (GPPs) with the computational power of multicore platforms. In order to evaluate our system we compare it against a BF software application implemented to a low-power Atom 330, a middle-ranged Core2 Duo, and a high-end Core i3. Experimental results suggest that our proposed solution can extract up to 16 audio sources in real time under a 16-microphone setup. In contrast, under the same setup, the Atom 330 cannot extract any audio sources in real time, while the Core2 Duo and the Core i3 can process in real time only up to 4 and 6 sources respectively. Furthermore, a Virtex4-based BF system consumes more than an order less energy compared to the aforementioned GPP-based approaches.

show abstract

A reconfigurable beamformer for audio applications

Cited by 12 publications

References 9 publications

Adaptive Beamforming Using the Reconfigurable MONTIUM TP

Adaptive Beamforming Using the Reconfigurable MONTIUM TP

Accurate Phase Calibration for Digital Beam-Forming in Multi-Transceiver HF Radar System

Custom architecture for multicore audio beamforming systems

Contact Info

Product

Resources

About