barker code
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Author(s):  
Shiwei Wang ◽  
Lu Zhang ◽  
Zijie Lu ◽  
Hongqi Zhang ◽  
Zuomin Yang ◽  
...  

2021 ◽  
Vol 1963 (1) ◽  
pp. 012106
Author(s):  
Rafal Fadhil Jabbar ◽  
Osama Qassim Jumah Al-Thahab

2020 ◽  
Vol 40 ◽  
pp. 101059
Author(s):  
Qing Hu ◽  
Xiaoyue Jing ◽  
Pengfei Lu ◽  
Qian Sun ◽  
Jianlin Huang

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 414
Author(s):  
Donghee Yi ◽  
Heetae Jin ◽  
Moon Chan Kim ◽  
Suk Chan Kim

When an ultrasonic sensor generates an ultrasonic wave and detects an obstacle from a reflected wave, a signal transmitted by other ultrasonic sensors would be interference. In this paper, to overcome the interference, a transducer transmits a signal with a unique ID modulated. The interference is ignored by verifying that the reflected signal includes its ID. The ID verification process uses a correlation between the received signal and the ID. Therefore, the ID is selected from orthogonal codes with good cross-correlation. Long code has the advantage of being more robust to interference. However, the reflected wave from nearby obstacles might return before the transmission ends. Therefore, the 7-bit Barker code is applied for near obstacle detection and a 31-bit Gold code is used for distant obstacle detection. The modulation technique is DQPSK, which is available in a narrow bandwidth and has a simple receiver structure. In ID recognition based on correlation, a near–far problem occurs due to a large amplitude difference between the received wave and interference. The addition of a zero-crossing detector solves this problem. The hardware is implemented based on the algorithm proposed in this paper. The simulation showed a detection rate of at least 90% and the the result of the real measurement represented a detection rate of 97.3% at 0.5 m and 94.5% at 2 m.


2020 ◽  
Author(s):  
S. Laureti ◽  
M. Ricci ◽  
P. Burrascano ◽  
D.A. Hutchins ◽  
G.Y. Tian ◽  
...  

Technologies ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 72
Author(s):  
Zeng Fan ◽  
John Rudlin ◽  
Giorgos Asfis ◽  
Hongying Meng

Ultrasonic Testing (UT) is one of the most important technologies in Non-Detective Testing (NDT) methods. Recently, Barker code and Golay code pairs as coded excitation signals have been applied in ultrasound imaging system with improved quality. However, the signal-to-noise ratio (SNR) of existing UT system based on Barker code or Golay code can be influenced under high high attenuation materials or noisy conditions. In this paper, we apply the convolution of Barker and Golay codes as coded excitation signals for low voltage UT devices that combines the advantages of Barker code and Golay code together. There is no need to change the hardware of UT system in this method. The proposed method has been analyzed theoretically and then in extensive simulations. The experimental results demonstrated that the main lobe level of the code produced by convolution of Barker code and Golay code pairs is much higher than the simple pulse and the main lobe of the combined code is higher than the traditional Barker code, sidelobe is the same as the baker code that constitutes this combined code. So the peak sidelobe level (PSL) of the combined code is lower than the traditional Barker code. Equipped with this, UT devices can be applied in low voltage situations.


2019 ◽  
pp. 35-40 ◽  
Author(s):  
S. V. Vinogradova ◽  
V. O. Chebachev

The mathematical model of RFID SAW tag is under consideration. A model is defined as impulse response of electrical circuit. The factors which influence to tag’s response are analyzed. A program which simulates RFID response receiver was produced. A single radio pulse and compound radio signal modulated by Barker code are used for flexing. The influence for receiving of such factors as temperature, phase uncertainty between SAW transducers and amplitude ripple between responses of different SAW transducers are estimated. The results of this estimation are displayed. Optimal threshold values are estimated for each of flexing signals. It was resulted that the influence of amplitude ripple factor for response is different using single or complex signal for flexing. Methods of compensation the influence of each factor during receiving and operating the signal are reviewed.


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