Design and Realization of a Digital Multichannel Fluxgate Signal Processing System

2012 ◽  
Vol 182-183 ◽  
pp. 491-495
Author(s):  
Shi Wei Liu ◽  
Shi Bin Liu
Keyword(s):  
Signal Processing ◽  
Processing System ◽  
Signal Processing System ◽  
Fluxgate Sensor ◽  
Field Programmable ◽  
Low Pass ◽  
Processing Module ◽  
Hardware Description ◽  
Fpga Chip ◽  
Phase Sensitive

Addressing drawbacks of analog components and questions of multi-channel fluxgate signal operation, a FPGA (Field Programmable Gate Array) based signal processing system is designed. Three copies of sub modules compose the whole system, each of which exclusively processes one of three outputs of the fluxgate sensor. A “Phase-Sensitive-Rectification & Low-Pass-Filtering” circuit structure is employed in the processing module, through which the fluxgate signal harmonics are extracted and converted into direct quantities according to detected magnetic intensities. Firstly designed in HDL (Hardware Description Language), afterward configurated in a FPGA chip, finally tested by processing outputs of a fluxgate sensor probe in real-time, the functionality of the designed system is verified. With inherent advantages, this FPGA based design is much reliable over temperature; by processing signals not time-sharingly but synchronously, its working speed is excellently high.

scholarly journals Nondestructive Detection of Ceramic Products Based on Tapping Sound Signal Feature Recogition

2021 ◽  
Vol 2132 (1) ◽  
pp. 012026
Author(s):  
Liping Liu ◽  
Liucheng Jiang ◽  
Lele Qiao
Keyword(s):  
Signal Processing ◽  
Processing System ◽  
Sound Signal ◽  
Sample Length ◽  
Destructive Testing ◽  
Signal Processing System ◽  
Processing Module ◽  
Linear Poly ◽  
Low Efficiency ◽  
Non Destructive

Abstract Recent studies on the test of ceramic non-destructive testing are mainly based on high cost technologies, image processing and so on, these method possesses some drawback of low efficiency, high cost and so on. What’s more, detecting whether the ceramic products by human through listening to sound of tapping is also effectless. This paper proposed a non-destructive method for ceramic products to solve this problem. This non-destructive method consists of a tapping device and a signal processing module. The tapping device will be applied to generate the tapping sound signal and the signal processing system will be applied to analysis signal. After the process of signal analysis, sample length and peak of spectrum 2 parameters is extracted, then use these parameters to train SVM, the results will be compared with BP neural network (BPNN). The result of experiment shows that SVM with different kernels of linear, poly, rbf, sigmoid respectively reach the accuracy of 96.29%, 96.29%, 46.29%, 93.82%, while BPNN reaches the accuracy of 93.21%. This result proves that SVM can effectively complete the task of identifying defective ceramics, and its performance is better than BPNN.

Research on DSP Embedded Digital Signal Processing System for Ship Navigation Radar

2014 ◽  
Vol 556-562 ◽  
pp. 4718-4721
Author(s):  
Shu Zhang Deng
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Digital Signal Processor ◽  
Processing System ◽  
Digital Signal ◽  
Radar System ◽  
Signal Processing System ◽  
Software Algorithms ◽  
Processing Module ◽  
Dsp Systems

Development of digital signal processing and embedded technologies today, to the development of radar technology has brought new opportunities. Relative to the simulation of radar, digital radar has good performance, features, ease of operation, and other benefits. Design based on embedded processor and digital signal processor (DSP) dual processor shipboard navigation radar system, and focuses on digital shipborne navigational radar system architecture, hardware design and software algorithms for digital signal processing module, gives the overall scheme for DSP systems.

scholarly journals Implementation of digital and analog modulation systems using FPGA

2020 ◽  
Vol 18 (1) ◽  
pp. 485
Author(s):  
Raya Kahtan Mohammed ◽  
Hamsa Abdulkareem Abdullah
Keyword(s):  
Signal Processing ◽  
Reconfigurable Computing ◽  
Field Programmable Gate Array ◽  
Development Process ◽  
Hardware Implementation ◽  
Processing System ◽  
Signal Processing System ◽  
System Generator ◽  
Modulation Techniques ◽  
Field Programmable

<p><span>FPGA (Field Programmable Gate Array) based implementations of digital and analog modulation techniques play a vital rule in the design of signal processing system. The performance and flexibility provided by reconfigurable computing speeds up the development process in signal processing implementations using FPGA. Different methods for digital and analog modulation are designed in this paper by usinSg System Generator tools &amp; Vivado. Then all designed systems are implemented successfully in an FPGA hardware via the NEXYS 4 DDR with ARTIX 7 XC7A100T. A comparison between five types of digital modulation techniques is discussed in terms of resources utilization in FPGA hardware. And also, the implementation of analog modulations in FPGA is contributed in this work. The hardware implementation shows that the number of slice LUTs in ASK modulation is 0.07% while in FSK modulation is 0.13% of the total number of slice LUTs. And also, the number of bounded IO that used for PSK modulation is 4.8% while in PM modulation is 61.4% of the total number bounded IO.</span></p>

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