An Ultrasonic Object Detection Applying the ID Based on Spread Spectrum Technique for a Vehicle
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 i...
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doaj-e9b9981c852c4ab5859d4faa8509dabf2020-11-25T02:20:43ZengMDPI AGSensors1424-82202020-01-0120241410.3390/s20020414s20020414An Ultrasonic Object Detection Applying the ID Based on Spread Spectrum Technique for a VehicleDonghee Yi0Heetae Jin1Moon Chan Kim2Suk Chan Kim3Department of Electrical and Computer Engineering, Pusan National University, 2, 63beon-gil, Busandaehakro, Geumjeong-Gu, Busan 46241, KoreaDepartment of Electrical and Computer Engineering, Pusan National University, 2, 63beon-gil, Busandaehakro, Geumjeong-Gu, Busan 46241, KoreaDepartment of Naval Architecture and Ocean Engineering, Pusan National University, 2, 63beon-gil, Busandaehakro, Geumjeong-Gu, Busan 46241, KoreaDepartment of Electrical and Computer Engineering, Pusan National University, 2, 63beon-gil, Busandaehakro, Geumjeong-Gu, Busan 46241, KoreaWhen 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.https://www.mdpi.com/1424-8220/20/2/414ultrasounddetectiondsssorthogonal codedqpsk |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Donghee Yi Heetae Jin Moon Chan Kim Suk Chan Kim |
spellingShingle |
Donghee Yi Heetae Jin Moon Chan Kim Suk Chan Kim An Ultrasonic Object Detection Applying the ID Based on Spread Spectrum Technique for a Vehicle Sensors ultrasound detection dsss orthogonal code dqpsk |
author_facet |
Donghee Yi Heetae Jin Moon Chan Kim Suk Chan Kim |
author_sort |
Donghee Yi |
title |
An Ultrasonic Object Detection Applying the ID Based on Spread Spectrum Technique for a Vehicle |
title_short |
An Ultrasonic Object Detection Applying the ID Based on Spread Spectrum Technique for a Vehicle |
title_full |
An Ultrasonic Object Detection Applying the ID Based on Spread Spectrum Technique for a Vehicle |
title_fullStr |
An Ultrasonic Object Detection Applying the ID Based on Spread Spectrum Technique for a Vehicle |
title_full_unstemmed |
An Ultrasonic Object Detection Applying the ID Based on Spread Spectrum Technique for a Vehicle |
title_sort |
ultrasonic object detection applying the id based on spread spectrum technique for a vehicle |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2020-01-01 |
description |
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. |
topic |
ultrasound detection dsss orthogonal code dqpsk |
url |
https://www.mdpi.com/1424-8220/20/2/414 |
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