MEMS acoustic array embedded in an FPGA based data acquisition and signal processing system

Turqueti, Marcos; Saniie, Jafar; Oruklu, Erdal

doi:10.1109/mwscas.2010.5548866

Cited by 15 publications

(8 citation statements)

References 3 publications

(6 reference statements)

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“…An example of an FPGA-based acquisition system is described in [48]. The authors present a general-purpose acoustic array composed of 52 analogue MEMS microphones.…”

Section: Fpga-based Audio Acquisition Systemsmentioning

confidence: 99%

“…Additionally, to connect to the FPGA, each channel requires an ADC with 12 bits of resolution and a maximum sampling rate of 5 Mbps. One application of this acquisition system is the sound source separation using the Independent Component Analysis (ICA) technique [48]. The same authors propose in [50] the use of beamforming, matched filtering, spectral processing, and ICA for imaging, tracking and identification of objects.…”

Section: Fpga-based Audio Acquisition Systemsmentioning

confidence: 99%

See 1 more Smart Citation

FPGA-Based Architectures for Acoustic Beamforming with Microphone Arrays: Trends, Challenges and Research Opportunities

2018

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Over the past decades, many systems composed of arrays of microphones have been developed to satisfy the quality demanded by acoustic applications. Such microphone arrays are sound acquisition systems composed of multiple microphones used to sample the sound field with spatial diversity. The relatively recent adoption of Field-Programmable Gate Arrays (FPGAs) to manage the audio data samples and to perform the signal processing operations such as filtering or beamforming has lead to customizable architectures able to satisfy the most demanding computational, power or performance acoustic applications. The presented work provides an overview of the current FPGA-based architectures and how FPGAs are exploited for different acoustic applications. Current trends on the use of this technology, pending challenges and open research opportunities on the use of FPGAs for acoustic applications using microphone arrays are presented and discussed.

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“…An example of an FPGA-based acquisition system is described in [48]. The authors present a general-purpose acoustic array composed of 52 analogue MEMS microphones.…”

Section: Fpga-based Audio Acquisition Systemsmentioning

confidence: 99%

Section: Fpga-based Audio Acquisition Systemsmentioning

confidence: 99%

FPGA-Based Architectures for Acoustic Beamforming with Microphone Arrays: Trends, Challenges and Research Opportunities

2018

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“…The use of micro-electro-mechanical system (MEMS) microphones as a replacement for ordinary microphone capsules has gained interest in [12][13][14], especially for the application of directive beamforming [15,16] due to its reduced size and cost compared with an ordinary microphone capsule. However, differential microphone arrays are not ideal in the presence of wind noise.…”

Section: Introductionmentioning

confidence: 99%

Wind noise reduction for a closely spaced microphone array in a car environment

Grimm¹,

Freudenberger²

2018

J AUDIO SPEECH MUSIC PROC.

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This work studies a wind noise reduction approach for communication applications in a car environment. An endfire array consisting of two microphones is considered as a substitute for an ordinary cardioid microphone capsule of the same size. Using the decomposition of the multichannel Wiener filter (MWF), a suitable beamformer and a single-channel post filter are derived. Due to the known array geometry and the location of the speech source, assumptions about the signal properties can be made to simplify the MWF beamformer and to estimate the speech and noise power spectral densities required for the post filter. Even for closely spaced microphones, the different signal properties at the microphones can be exploited to achieve a significant reduction of wind noise. The proposed beamformer approach results in an improved speech signal regarding the signal-to-noise-ratio and keeps the linear speech distortion low. The derived post filter shows equal performance compared to known approaches but reduces the effort for noise estimation.

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“…Pozniak [4] presented the application of FPGA the based-multichannel, distributed, synchronous measurement systems for triggering, and data acquisition used in high-energy physics (HEP) experiments. Turqueti et al [5] presented design and implementation of a 52 microphone MEMS array embedded in an FPGA platform with real-time processing capabilities.…”

Section: Introductionmentioning

confidence: 99%

Real Time Monitoring of Diesel Engine Injector Waveforms for Accurate Fuel Metering and Control

Farooqi

Snyder

Anwar

2013

Journal of Control Science and Engineering

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This paper presents the development, experimentation, and validation of a reliable and robust system to monitor the injector pulse generated by an engine control module (ECM) which can easily be calibrated for different engine platforms and then feedback the corresponding fueling quantity to the real-time computer in a closed-loop controller in the loop (CIL) bench in order to achieve optimal fueling. This research utilizes field programmable gate arrays (FPGA) and direct memory access (DMA) transfer capability to achieve high speed data acquisition and delivery. This work is conducted in two stages: the first stage is to study the variability involved in the injected fueling quantity from pulse to pulse, from injector to injector, between real injector stators and inductor load cells, and over different operating conditions. Different thresholds have been used to find out the best start of injection (SOI) threshold and the end of injection (EOI) threshold that capture the injector “on-time” with best reliability and accuracy. Second stage involves development of a system that interprets the injector pulse into fueling quantity. The system can easily be calibrated for various platforms. Finally, the use of resulting correction table has been observed to capture the fueling quantity with highest accuracy.

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MEMS acoustic array embedded in an FPGA based data acquisition and signal processing system

Cited by 15 publications

References 3 publications

FPGA-Based Architectures for Acoustic Beamforming with Microphone Arrays: Trends, Challenges and Research Opportunities

FPGA-Based Architectures for Acoustic Beamforming with Microphone Arrays: Trends, Challenges and Research Opportunities

Wind noise reduction for a closely spaced microphone array in a car environment

Real Time Monitoring of Diesel Engine Injector Waveforms for Accurate Fuel Metering and Control

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