Comparison study of hardware architectures performance between FPGA and DSP processors for implementing digital signal processing algorithms: Application of FIR digital filter

Diouri, Omar; Gaga, Ahmed; Ouanan, Hamid; Senhaji, Saloua; Faquir, Sanaa; Jamil, Mohammed Ouazzani

doi:10.1016/j.rineng.2022.100639

Cited by 11 publications

(4 citation statements)

References 21 publications

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“…FIR filtering can be divided into direct, cascaded, distributed, fast convolution, and so on [25]. The system presented in this paper uses the Kaiser window function to design FIR low-pass filters [26]. The observation frequency of borehole strain is in the quasi-direct current in the strain seismic wave frequency range, or between 0 and 30 Hz.…”

Section: Fpga Fir Digital Filtering and Down Samplingmentioning

confidence: 99%

“…The system is compatible with the strain probes of various RZB series borehole strain gauges and can be directly connected to the original strain probes for use. The system presented in this paper uses the Kaiser window function to design FIR low-pass filters [26]. The observation frequency of borehole strain is in the quasi-direct current in the strain seismic wave frequency range, or between 0 and 30 Hz.…”

Section: Field Observation Experimentsmentioning

confidence: 99%

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A Multi-Channel Borehole Strain Measurement and Acquisition System Based on FPGA

Hong

Chen

et al. 2023

Sensors

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In this study, an FPGA(Field Programmable Gate Array)-based borehole strain measurement system was designed that makes extensive use of digital signal processing operations to replace analog circuits. Through the formidable operational capability of FPGA, the sampled data were filtered and denoised to improve the signal-to-noise ratios. Then, with the goal of not reducing observational accuracy, the signal amplification circuit was removed, the excitation voltage was reduced, and the dynamic range of the primary adjustments was expanded to 130 dB. The system’s online compilation function made it more flexible to changes in measurement parameters, allowing it to adapt to various needs. In addition, the efficiency of the equipment use was enhanced. The actual observational results showed that this study’s FPGA-based borehole strain measurement system had a voltage resolution higher than 1 μV. Clear solid tides were successfully recorded in low-frequency bands, and seismic wave strain was accurately recorded in high-frequency bands. The arrival times and seismic phases of the seismic waves S and P were clearly recorded, which met the requirements for geophysical field deformation observations. Therefore, the system proposed in this study is of major significance for future analyses of geophysical and crust deformation observations.

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Section: Fpga Fir Digital Filtering and Down Samplingmentioning

confidence: 99%

Section: Field Observation Experimentsmentioning

confidence: 99%

A Multi-Channel Borehole Strain Measurement and Acquisition System Based on FPGA

Hong

Chen

et al. 2023

Sensors

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“…The system presented in this paper uses the Kaiser window function to design FIR low-pass filters [ 27 ]. The filter order is set to 15019, with a passband cutoff frequency of 0.025 Hz and a stopband cutoff frequency of 0.05 Hz.…”

Section: Design Of a High-precision Tiltmeter Based On Fpgamentioning

confidence: 99%

Design of A High-Precision Component-Type Vertical Pendulum Tiltmeter Based on FPGA

Xu,

Chen,

et al. 2023

Sensors

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This paper presents a high-precision component-type vertical pendulum tiltmeter based on an FPGA (Field Programmable Gate Array) that improves the utility and reliability of geophysical field tilt observation instruments. The system is designed for rapid deployment and offers flexible and efficient adaptability. It comprises a pendulum body, a triangular platform, a locking motor and sealing cover, a ratiometric measurement bridge, a high-speed ADC, and an FPGA embedded system. The pendulum body is a plumb-bob-type single-suspension wire vertical pendulum capable of measuring ground tilt in two orthogonal directions simultaneously. It is installed on a triangular platform, sealed as a whole, and equipped with a locking motor to withstand a free-fall impact of 2 m. The system utilizes a differential capacitance ratio bridge in the measurement circuit, replacing analog circuits with high-speed AD sampling and FPGA digital signal processing technology. This approach reduces hardware expenses and interferences from active devices. The system also features online compilation functionality for flexible measurement parameter settings, high reliability, ease of use, and rapid deployment without the need for professional technical personnel. The proposed tiltmeter holds significant importance for further research in geophysics.

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“…It is analysed that the measuring principle of the vibrating wire crack metre and designs the signal transmission circuit of the vibrating wire crack metre [23]. The TIM_TRGO timing event triggers on‐chip ADC1 interval sampling, the conversion data is moved to the extended buffer SDRAM managed by the FMC peripheral in the form of DMA and processed by FIR band‐pass filtering [24, 25], fast Fourier operation [26, 27], and Kalman filtering [28, 29].…”

Section: Introductionmentioning

confidence: 99%

Research and design of bridge distributed monitoring system based on LoRa technology

Hou

Bao²

2023

IET Wireless Sensor Systems

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Bridges are a kind of infrastructure constructed to save urban space, to relieve traffic congestion, and to show urban modernisation. Therefore, bridge safety has become the focus of social attention. To know the structural condition of the bridge in real‐time, it is necessary to develop an intelligent and efficient bridge health monitoring system. However, the traditional bridge health monitoring system has poor real‐time performance, low efficiency, and a low degree of automation. The development of LoRa technology is expected to improve this situation. In this study, we designed a bridge‐distributed monitoring system based on LoRa technology, which has end nodes, relay nodes, a collect node, and a monitoring centre. In detail, the STM32H743XI processor is combined with the radio frequency SX1268 chip to form the above nodes. Furthermore, the end node contains the pulse vibration excitation circuit, and pick‐up signal conditioning circuit of the vibrating string crack metre, and the signal conditioning circuit of the temperature sensor AD590 and the humidity sensor HM1500LF. Finally, the data preprocessing of sensors and the communication performance of the two‐stage relay network of the LoRa module, which represent the key technologies to effectively and efficiently meet the real‐time monitoring of bridge conditions, are tested and discussed. This distributed monitoring system for the bridge can provide feasible solutions for the application field of bridge monitoring, which is helpful for the daily maintenance management and risk warning decision‐making of bridges.

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Comparison study of hardware architectures performance between FPGA and DSP processors for implementing digital signal processing algorithms: Application of FIR digital filter

Cited by 11 publications

References 21 publications

A Multi-Channel Borehole Strain Measurement and Acquisition System Based on FPGA

A Multi-Channel Borehole Strain Measurement and Acquisition System Based on FPGA

Design of A High-Precision Component-Type Vertical Pendulum Tiltmeter Based on FPGA

Research and design of bridge distributed monitoring system based on LoRa technology

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