DSSS-based Channel Access Technique DS-CDMA for Underwater Acoustic Transmission

Lee, Young-Pil; Moon, Yong Seon; Ko, Nak Yong; Choi, Hyun‐Taek; Huang, Linyun; Bae, Young-Chul

doi:10.5391/ijfis.2015.15.1.53

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…This paper proposes an attitude estimation approach that uses a new method called the sine rotation vector to represent rotations. If exteroceptive measurements of range to beacons and communication between the robot and beacons are available [ 2 , 3 ], it is possible to estimate the location without the information on attitude. However, for long-range navigation, it is practically not feasible to implement the system for range measurements or a communication network.…”

Section: Introductionmentioning

confidence: 99%

Sine Rotation Vector Method for Attitude Estimation of an Underwater Robot

Jeong

Bae

2016

Sensors

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This paper describes a method for estimating the attitude of an underwater robot. The method employs a new concept of sine rotation vector and uses both an attitude heading and reference system (AHRS) and a Doppler velocity log (DVL) for the purpose of measurement. First, the acceleration and magnetic-field measurements are transformed into sine rotation vectors and combined. The combined sine rotation vector is then transformed into the differences between the Euler angles of the measured attitude and the predicted attitude; the differences are used to correct the predicted attitude. The method was evaluated according to field-test data and simulation data and compared to existing methods that calculate angular differences directly without a preceding sine rotation vector transformation. The comparison verifies that the proposed method improves the attitude estimation performance.

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Section: Introductionmentioning

confidence: 99%

Sine Rotation Vector Method for Attitude Estimation of an Underwater Robot

Jeong

Bae

2016

Sensors

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“…Recently, underwater acoustic communication (UWAC) has been studied by many scholars and researchers. Direct-sequence code division multiple access (DS-CDMA) [1]- [4], orthogonal-frequency division multiplexing (OFDM) [1], [5]- [7],and multi-input multi-output (MIMO) [1], [8], modulation and error correction [9], and others [10]- [11],…”

Section: ⅰ Introductionmentioning

confidence: 99%

Estimation of Time Difference Using Cross-Correlation in Underwater Environment

Lee¹,

Moon²,

Ko³

et al. 2016

The Journal of Advanced Navigation Technology

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Recently, underwater acoustic communication (UWAC) has been studied by many scholars and researchers. In order to use UWAC, we need to estimate time difference between the two signals in underwater environment. Typically, there are major three methods to estimate the time-difference between the two signals such as estimating the arrival time of the first non-background segment and calculate the temporal difference, calculating the cross-correlation between the two signal to infer the time-lagged, and estimating the phase delay to infer the time difference. In this paper, we present calculating the cross-correlation between the two signals to infer the time-lagged to apply UWAC. We also present the experimental result of estimating the arrival time by using cross-correlation. We get EXCORR = 0.003055 second as the estimation error in mean absolute difference.

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“…Communication) has been studied by many scholar s and researchers. DS-CDMA [1], [6], [12], [14][15], OFDM (: Orthogonal-Frequency Division…”

mentioning

confidence: 99%

Estimation Technique of Time Difference of Acoustic Signal by phase delay in Underwater Environments

Lee¹,

Moon

et al. 2016

The Journal of the Korea institute of electronic communication

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Recently, UWAC(: UnderWater Acoustic Communication) has been studied by many scholars and researchers. There are several method to estimate the time-difference between the two signals such estimating as the arrival time of the first non-background segment in both signals and calculate the temporal difference, calculating the cross-correlation between the two signal to infer the time-lagged, and estimating the phase delay to infer the time difference. In this paper, we present estimating method by the phase delay to infer the time difference in two signals.

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DSSS-based Channel Access Technique DS-CDMA for Underwater Acoustic Transmission

Cited by 5 publications

References 11 publications

Sine Rotation Vector Method for Attitude Estimation of an Underwater Robot

Sine Rotation Vector Method for Attitude Estimation of an Underwater Robot

Estimation of Time Difference Using Cross-Correlation in Underwater Environment

Estimation Technique of Time Difference of Acoustic Signal by phase delay in Underwater Environments

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