5 research outputs found

    ์ฐจ๋™์œ„์ƒ์ฒœ์ด ๋ฐฉ์‹์„ ๊ฐ–๋Š” ์ €ํ”ผํƒ ์ˆ˜์ค‘์Œํ–ฅํ†ต์‹  ์‹œ์Šคํ…œ ์„ค๊ณ„

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    In recent years, underwater sensor networks can be used for environment monitoring, disaster prevention, and military surveillance. When acoustic waves are passed through the underwater, they are affected by attenuation, reflection of bottom and surface, scattering, ambient noise, and the Doppler effect caused by movement of the transmitter and the receiver. This thesis presents constructing transmitter and receiver by using a direct sequence spread spectrum techniques to DPSK (differential phase shift keying) scheme in underwater acoustic communication. Using direct sequence spread spectrum is helpful to overcome the jamming unlike other spread spectrum methods and has strong security between user. Since DPSK signal can be demodulated if the receiver knows only the phase difference between the adjacent bits, DPSK receiver structure has the advantage of being simplified. In the conventional receiver, two adjacent symbols of transmitted signal before despread are passed to the transition correlator that detects data by comparing maximum correlation outputs. At this time, the error for maximum value of the correlator output may increase because of low SNR (signal-to-noise ratio) or high Doppler shift frequency according to the underwater channel. In this thesis, a new method is proposed for accurate detection result. The proposed method uses the peaksโ€™ width as well as the its magnitude among outputs produced by the correlator for BER performance enhancement. The performances of the proposed method was evaluated by simulation and sea trial data.List of Tables iii List of Figures iv Abstract v ์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 2 ์žฅ ์ˆ˜์ค‘์Œํ–ฅ ์ฑ„๋„ 4 2.1 ์ „๋‹ฌ ์†์‹ค 5 2.2 ๋‹ค์ค‘ ๊ฒฝ๋กœ ์ „๋‹ฌ 6 2.3 ๋„ํ”Œ๋Ÿฌ ํšจ๊ณผ 7 2.4 ์žก์Œ 9 ์ œ 3 ์žฅ ์ „์ด ์ƒ๊ด€๊ธฐ๋ฅผ ์ด์šฉํ•œ DPSK-DSSS ์ˆ˜์‹ ๊ธฐ 11 3.1 ๊ธฐ์กด์˜ DPSK ์†ก์ˆ˜์‹  ๋ฐฉ๋ฒ• 11 3.2 ๊ธฐ์กด์˜ DPSK-DSSS ์†ก์ˆ˜์‹  ๋ฐฉ๋ฒ• 13 3.2.1 ์ง์ ‘ ์ˆ˜์—ด ๋Œ€์—ญํ™•์‚ฐ ๋ฐฉ์‹ 13 3.2.2 ๊ธฐ์กด์˜ DPSK-DSSS ์†ก์ˆ˜์‹  ๋ฐฉ๋ฒ• 16 3.3 ์ƒ๊ด€ ํญ ๊ธฐ๋ฐ˜ DPSK-DSSS ์ˆ˜์‹  ๋ฐฉ๋ฒ• ์ œ์•ˆ 20 ์ œ 4 ์žฅ ๋ชจ์˜์‹คํ—˜ ๋ฐ ํ•ด์ƒ์‹คํ—˜ ๊ฒฐ๊ณผ 24 4.1 ๋ชจ์˜์‹คํ—˜ ๊ฒฐ๊ณผ 24 4.1.1 DPSK-DSSS ์ˆ˜์ค‘์Œํ–ฅํ†ต์‹  ์‹œ์Šคํ…œ ์„ค๊ณ„ 25 4.1.2 VirTEX ๋ชจ์˜์‹คํ—˜ ๊ฒฐ๊ณผ 27 4.2 ํ•ด์ƒ์‹คํ—˜ ๊ฒฐ๊ณผ 30 ์ œ 5 ์žฅ ๊ฒฐ๋ก  35 ์ฐธ๊ณ ๋ฌธํ—Œ 37Maste

    Doppler estimation based on frequency average and recursive frame method for underwater acoustic communication

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    In recent years, underwater sensor networks can be used for environment monitoring, disaster prevention, and military surveillance. Unlike terrestrial communication, underwater acoustic communication utilizes sound waves. The sound speed is dependent on the water temperature and the salinity. The sound transmission path is changed by refraction according to the gradient of vertical sound velocity. When sound waves are passed through the underwater, they are affected by attenuation, reflection of bottom and surface, scattering, ambient noise, and the Doppler effect caused by movement of the transmitter and the receiver. Of these factors, the Doppler effect affects the correlation time of the channel related to the transmission efficiency. These influences thus cannot be neglected in the design of underwater acoustic communication systems. To increase transmission efficiency, estimation the changing Doppler frequency and compensation for distortion are needed. In this thesis, Doppler shift frequency estimation methods to use in the time varying channel proposed. Two kinds of methods are proposed. One is a Doppler estimation algorithm that has stable performance as a part of the communication system. From an overall communication system perspective, the other is a demodulation scheme that is different from the conventional communication system. The ambiguity function and decision-directed estimation are presented. Also, a more accurate Doppler estimation method that is based on decision-directed estimation is proposed, and a re-modulation method that can update the channel parameters for the equalizer operation and estimate the Doppler frequency during the data frame using two Doppler estimation techniques is proposed. A simulation based on the Bellhop modeling and sea experiment was carried out to compare the performance of the proposed method with a conventional non-recursive Doppler estimation. When the channel coding technique was not applied, the uncoded bit error rate performance of the proposed method was improved about maximum 50.3 % compared with conventional method.List of Tables iii List of Figures iv Abstract v ์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 2 ์žฅ ์ˆ˜์ค‘์Œํ–ฅ ์ฑ„๋„ 4 2.1 ์ˆ˜์ค‘์Œํ–ฅ ์ฑ„๋„์˜ ํŠน์„ฑ 4 2.1.1 ์ „๋‹ฌ ์†์‹ค 5 2.1.2 ๋‹ค์ค‘ ๊ฒฝ๋กœ ์ „๋‹ฌ 6 2.1.3 ๋„ํ”Œ๋Ÿฌ ํšจ๊ณผ 7 2.1.4 ์žก์Œ 8 2.2 ์ˆ˜์ค‘์Œํ–ฅ ์ฑ„๋„์˜ ์‹œ๋ณ€๋™์„ฑ 8 2.2.1 ์‹œ๊ฐ„์˜์—ญ ์ƒ๊ด€๋„ 9 2.2.2 ๋„ํ”Œ๋Ÿฌ ํšจ๊ณผ์˜ ์˜ํ–ฅ 12 ์ œ 3 ์žฅ ๋„ํ”Œ๋Ÿฌ ์ถ”์ •์„ ์œ„ํ•œ ๊ธฐ๋ฒ• 14 3.1 ๊ธฐ์กด์˜ ๋„ํ”Œ๋Ÿฌ ์ถ”์ • ๋ฐฉ๋ฒ• 14 3.1.1 ๋ชจํ˜ธ ํ•จ์ˆ˜ ๊ธฐ๋ฒ• 14 3.1.2 Decision-directed ์ถ”์ • ๊ธฐ๋ฒ• 16 3.2 ์ œ์•ˆ๋œ ๋„ํ”Œ๋Ÿฌ ์ถ”์ • ๋ฐฉ๋ฒ• 17 3.2.1 ์ฃผํŒŒ์ˆ˜ ํ‰๊ท  ๊ธฐ๋ฐ˜์˜ Decision-directed ์ถ”์ • ๊ธฐ๋ฒ• 18 3.2.2 ์žฌ๊ท€ ํ”„๋ ˆ์ž„ ๋ณ€๋ณต์กฐ 19 ์ œ 4 ์žฅ ๋ชจ์˜์‹คํ—˜ ๋ฐ ์‹คํ—˜ ๊ฒฐ๊ณผ ๋ถ„์„ 23 4.1 ๋ชจ์˜์‹คํ—˜ ๊ฒฐ๊ณผ 23 4.2 ํ˜ธ์ˆ˜์‹คํ—˜ ๊ฒฐ๊ณผ 26 4.3 ํ•ด์ƒ์‹คํ—˜ ๊ฒฐ๊ณผ 29 ์ œ 5 ์žฅ ๊ฒฐ๋ก  33 ์ฐธ๊ณ ๋ฌธํ—Œ 35 ๊ฐ์‚ฌ์˜ ๊ธ€ 3

    A study on FrFT receiver for frequency hopping spread spectrum with chirp signal

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    Unlike terrestrial communication, underwater acoustic communication utilizes sound waves. The sound speed is dependent on the water temperature and the salinity. The sound transmission path is changed by refraction according to the gradient of vertical sound velocity. When sound waves are passed through the underwater, they are affected by attenuation, reflection of bottom and surface, scattering, ambient noise, and the Doppler effect caused by movement of the transmitter and the receiver. Even due to the doppler effect, the received signal is expanded and compressed. Sometimes it is necessary to hide and protect our information from stranger. However, due to the characteristics of underwater acoustic communication using sound waves, the probability of detection is higher than that of terrestrial communication, and our information is easily intercepted. Therefore, it is necessary to study on the covert communication along with the reliable communication in the underwater acoustic channel. In this thesis, a covert underwater acoustic communication method that is robust to fading using a chirp signal combined with a frequency-hopping spread spectrum scheme is designed and demodulated to new type receiver. A fractional Fourier transform (FrFT), which estimates the slope of the signal frequency variation, is applied to the receiver to enable a robust and reliable symbol estimation with respect to the frequency and irregular phase variations. Using FrFT, the chirp signal can be distinguished and other frequencies can be treated as noise. Therefore, FrFT receiver is a different demodulation method compared to conventional correlator receiver. In addition, since the recursive symbol synchronization can be implemented using a chirp signal, compression and expansion effects due to the Doppler shift can be mitigated. Simulation and lake trials were performed to verify the performance of the proposed method.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 2 ์žฅ ์ˆ˜์ค‘์Œํ–ฅ ์ฑ„๋„ ํŠน์„ฑ 2.1 ์ „๋‹ฌ์†์‹ค 6 2.2 ๋‹ค์ค‘ ๊ฒฝ๋กœ ์ „๋‹ฌ 7 2.3 ๋„ํ”Œ๋Ÿฌ ํšจ๊ณผ 8 2.4 ์žก์Œ 9 ์ œ 3 ์žฅ ์ฒ˜ํ”„ ์‹ ํ˜ธ๋ฅผ ๊ฒฐํ•ฉํ•œ ์ฃผํŒŒ์ˆ˜ ๋„์•ฝ ๋ฐฉ์‹๊ณผ FrFT ์ˆ˜์‹ ๊ธฐ 3.1 CSK ๋ณ€์กฐ ๋ฐฉ์‹๊ณผ ์ฃผํŒŒ์ˆ˜ ๋„์•ฝ ํ™•์‚ฐ ์ŠคํŽ™ํŠธ๋Ÿผ 10 3.2 ์ƒ๊ด€ ํ•จ์ˆ˜๋ฅผ ์ด์šฉํ•œ ๊ธฐ์กด์˜ ์ˆ˜์‹  ๋ฐฉ๋ฒ• 13 3.3 FrFT๋ฅผ ์ด์šฉํ•œ ์ˆ˜์‹  ๋ฐฉ๋ฒ• ์ œ์•ˆ 15 3.4 ์‹ฌ๋ณผ ๋™๊ธฐํ™”๋ฅผ ์œ„ํ•œ ์žฌ๊ท€ ๋™๊ธฐ ๋ณด์ • ๊ธฐ๋ฒ• 23 ์ œ 4 ์žฅ ๋ชจ์˜์‹คํ—˜ ๋ฐ ํ˜ธ์ˆ˜์‹คํ—˜ ๊ฒฐ๊ณผ ๋ถ„์„ 4.1 ๋ชจ์˜์‹คํ—˜ ๊ฒฐ๊ณผ 25 4.2 ํ˜ธ์ˆ˜์‹คํ—˜ ๊ฒฐ๊ณผ 29 ์ œ 5 ์žฅ ๊ฒฐ๋ก  35 ์ฐธ๊ณ ๋ฌธํ—Œ 37Maste

    Rake Receiver Based on BER of Training Sequence Duration in Low Probability of Detection for Underwater Acoustic Communication

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    In recent years, underwater sensor networks can be used for environment monitoring, disaster prevention, and military surveillance. When sound waves are passed through the underwater, they are affected by attenuation, reflection of bottom and surface, scattering, ambient noise, and the Doppler effect caused by movement of the transmitter and the receiver. In this thesis a type of channel and the channel parameters are investigated to calculate the counter-detection range in underwater acoustic communication channels. A rake receiver that uses the BER (bit error rate) analysis of train signals was proposed, which have the better performance than a conventional rake receiver. A conventional rake receiver selects the paths which are the matched filter output over threshold. Weights are allocated to selected paths in accordance with path gains. A proposed rake receiver uses the same method to a conventional rake receiver which is path selection, but that uses BER analysis of each path under threshold in the training sequence to assign weights. In accordance with training sequence BER the weights are allocated, the lower train BER the high weighting value. After the envelop of received signals are used in channel fading analysis, the channel types and channel parameters are investigated by curve fitting of the amplitude variability. After the ROC (receiver operating characteristic) curve are calculate by the channel types and channel parameters, as a result, counter-detection range are attained by calculating detection probability in accordance with false alarm probability. In the event of lake experiments the channel type is Rayleigh fading channel. Consequently ROC curve and counter-detection range are analyzed. A non-rake receiver, conventional rake receiver, and proposed rake receiver performance are evaluated in lake experiments. As a result, proposed rake receiver have the error free performance and conventional rake receiver have 12.5% BER performance.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 2 ์žฅ ์ˆ˜์ค‘์Œํ–ฅ ์ฑ„๋„ ๋ฐ ํƒ์ง€ํ™•๋ฅ  3 2.1 ์ˆ˜์ค‘์Œํ–ฅ ์ฑ„๋„ ํŠน์„ฑ 3 2.1.1 ์ „๋‹ฌ ์†์‹ค 4 2.1.2 ๋‹ค์ค‘ ๊ฒฝ๋กœ ์ „๋‹ฌ 5 2.1.3 ๋„ํ”Œ๋Ÿฌ ํšจ๊ณผ 6 2.1.4 ์žก์Œ 8 2.2 ์ฑ„๋„ ํŽ˜์ด๋”ฉ ๋ฐ ํƒ์ง€ํ™•๋ฅ  9 2.2.1 ์ฑ„๋„ ํŽ˜์ด๋”ฉ์— ๋”ฐ๋ฅธ ํƒ์ง€ํ™•๋ฅ  9 2.2.1.1 Non-fading 9 2.2.1.2 Gaussian fading 10 2.2.1.3 Log-normal fading 11 2.2.1.4 Rayleigh fading 12 2.2.2 ๊ณก์„  ์ ํ•ฉ 13 2.2.3 ROC ๊ณก์„  15 2.2.4 ์ฑ„๋„์— ๋”ฐ๋ฅธ ํƒ์ง€ ๊ฑฐ๋ฆฌ 16 ์ œ 3 ์žฅ ์˜ค์ฐจ์œจ ๊ธฐ๋ฐ˜ ๋ ˆ์ดํฌ ์ˆ˜์‹ ๊ธฐ 19 3.1 ๊ธฐ์กด์˜ ๋ ˆ์ดํฌ ์ˆ˜์‹  ๋ฐฉ๋ฒ• 20 3.2 ์ œ์•ˆ๋œ ๋ ˆ์ดํฌ ์ˆ˜์‹  ๋ฐฉ๋ฒ• 24 ์ œ 4 ์žฅ ๋ชจ์˜์‹คํ—˜ ๋ฐ ํ˜ธ์ˆ˜์‹คํ—˜ ๊ฒฐ๊ณผ 29 4.1 ๋ชจ์˜์‹คํ—˜ ๊ฒฐ๊ณผ 29 4.2 4์›” ํ˜ธ์ˆ˜์‹คํ—˜ ๊ฒฐ๊ณผ 35 4.3 5์›” ํ˜ธ์ˆ˜์‹คํ—˜ ๊ฒฐ๊ณผ 43 ์ œ 5 ์žฅ ๊ฒฐ๋ก  51 ์ฐธ๊ณ ๋ฌธํ—Œ 53 ๊ฐ์‚ฌ์˜ ๊ธ€ 5

    ANN-Based Control of a Multiboat Group for the Deployment of an Underwater Sensor Network

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    Underwater sensor networks (USNs) can be used for several types of commercial and noncommercial applications. However, some constraints resulting from the nature of aquatic environments severely limit their use. Due to constraints such as large propagation latency, low-bandwidth capacity, and short-distance communications, a large number of USN nodes are deployed to provide reliability in most applications. In this study, an unattended deployment approach based on the use of an autonomous boat group is proposed. A map of the deployment zone and optimal locations of USN nodes are fed into the onboard computers of the boat group. After processing these data and determining paths to be followed, the boat group deploys sensor nodes at predetermined locations. During the deployment, the boat group is controlled by an artificial neural network- (ANN-) based control system for reducing path errors. A set of performance evaluations is given to prove efficiency of the proposed control system. Performance results show that the boat group can successfully follow a predefined path set and deploy USN nodes. The tradeoffs between energy consumptions, end-to-end delay, and number of hops between underwater relay nodes of energy-efficient USN are also examined. The results indicate that increasing the number of hops reduces the total energy consumption and the end-to-end delay
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