System on chip implementation of 1-D wavelet transform based denoising of fiber optic gyroscope signal on FPGA

Sabat, Samrat L.; Rangababu, P.; Karthik, K.; Krishhnaprasad, G.; Nayak, Jagannath

doi:10.1109/indcon.2011.6139373

Cited by 5 publications

(4 citation statements)

References 5 publications

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“…The input signal is the output of Gyroscope sensor during the rotation of the sensor. The input signal is simulated as shown in Fig (9) [29]. The noisy gyroscope signals at input SNR=-20 dB is shown in Fig (10).…”

Section: The Proposed Hybrid Technique For Noise Reductionmentioning

confidence: 99%

An Efficient Hybrid Technique for Noise Reduction in Optical Gyroscope Signals

AbdelZaher¹,

El-Dokany²,

El-Dolil³

et al. 2021

Menoufia Journal of Electronic Engineering Research

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Gyroscopes are sensors that are used for motion measurement. They are generally used to measure rotation rate of moving equipment. There are different types of gyroscopes including mechanical, micro-electromechanical (MEMS) and optical gyroscopes. Gyroscope signal suffers from internal noise due to internal device operation and external noise of the environment. This paper presents a proposed hybrid technique that includes both Kalman filter and wavelet denoising. Results show the superiority of this proposed technique to the other filters. Arranging the filters in cascaded hybrid structure has an effect on the performance of the hybrid technique. Using Kalman filter as a first stage is better than using the wavelet as a first stage. For the comparison, two evaluation metrics are used: Signal-to-Noise Ratio (SNR) improvement and correlation coefficient.

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Section: The Proposed Hybrid Technique For Noise Reductionmentioning

confidence: 99%

An Efficient Hybrid Technique for Noise Reduction in Optical Gyroscope Signals

AbdelZaher¹,

El-Dokany²,

El-Dolil³

et al. 2021

Menoufia Journal of Electronic Engineering Research

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“…There is no published literature on FPGA/SoC implementation of denoising algorithm for FOG. The previous works of the present author focus both on the algorithm as well as hardware implementation of denoising algorithms for FOG signal . The main drawbacks of are, DWT does not follow the signal trend while denoising the dynamic environment FOG signal, and it introduces a delay in the system.…”

Section: Related Workmentioning

confidence: 99%

“…This is because neither the DWT nor the KF algorithm can capture the unpredictable abrupt changes of dynamic signal. In earlier studies, the authors have tested the effectiveness of this algorithm for dynamic data of a three‐axis FOG . In this work, the denoising algorithm is extended for denoising the single‐axis FOG signal under both the static and dynamic conditions.…”

Section: Introductionmentioning

confidence: 99%

FPGA‐based embedded platform for fiber optic gyroscope signal denoising

Peesapati

Sabat

Karthik

et al. 2013

Circuit Theory & Apps

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SUMMARY This paper presents System on Chip (SoC) implementation of a proposed denoising algorithm for fiber optic gyroscope (FOG) signal. The SoC is developed using an Auxillary Processing Unit of the proposed algorithm and implemented in the Xilinx Virtex‐5‐FXT‐1136 field programmable gate array. SoC implementation of this application is first of its kind. The proposed algorithm namely adaptive moving average‐based dual‐mode Kalman filter (AMADMKF) is a hybrid of adaptive moving average and Kalman filter (KF) technique. The performance of the proposed AMADMKF algorithm is compared with the discrete wavelet transform and KF of different gains. Allan variance analysis, standard deviation and signal to noise ratio (SNR) are used to measure the efficiency of the algorithm. The experimental result shows that AMADMKF algorithm reduces the standard deviation or drift of the signal by an order of 100 and improves the SNR approximately by 80 dB. The Allan variance analysis result shows that this algorithm also reduces different types of random errors of the signal significantly. The proposed algorithm is found to be the best suited algorithm for denoising the FOG signal in both the static and dynamic environments. Copyright © 2013 John Wiley & Sons, Ltd.

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“…On the other hand, several architectures that implement some filtering techniques in real-time controllers have been proposed. For instance, a System-on-a-chip (SoC) design using a one-dimensional WT is proposed in [ 37 ] to filter the signal from a fiber-optics based gyroscope. This architecture consists in the Discrete Wavelet Transform (DWT) implementation using the Mallat algorithm [ 38 ].…”

Section: Introductionmentioning

confidence: 99%

An Architecture for Measuring Joint Angles Using a Long Period Fiber Grating-Based Sensor

Perez-Ramirez

Almanza-Ojeda

Guerrero-Tavares

et al. 2014

Sensors

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The implementation of signal filters in a real-time form requires a tradeoff between computation resources and the system performance. Therefore, taking advantage of low lag response and the reduced consumption of resources, in this article, the Recursive Least Square (RLS) algorithm is used to filter a signal acquired from a fiber-optics-based sensor. In particular, a Long-Period Fiber Grating (LPFG) sensor is used to measure the bending movement of a finger. After that, the Gaussian Mixture Model (GMM) technique allows us to classify the corresponding finger position along the motion range. For these measures to help in the development of an autonomous robotic hand, the proposed technique can be straightforwardly implemented on real time platforms such as Field Programmable Gate Array (FPGA) or Digital Signal Processors (DSP). Different angle measurements of the finger's motion are carried out by the prototype and a detailed analysis of the system performance is presented.

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System on chip implementation of 1-D wavelet transform based denoising of fiber optic gyroscope signal on FPGA

Cited by 5 publications

References 5 publications

An Efficient Hybrid Technique for Noise Reduction in Optical Gyroscope Signals

An Efficient Hybrid Technique for Noise Reduction in Optical Gyroscope Signals

FPGA‐based embedded platform for fiber optic gyroscope signal denoising

An Architecture for Measuring Joint Angles Using a Long Period Fiber Grating-Based Sensor

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