S-Space College of Engineering/Engineering Practice School (공과대학/대학원) Dept. of Naval Architecture and Ocean Engineering (조선해양공학과) Theses (Ph.D. / Sc.D._조선해양공학과)
Estimation of Time-Varying Sparse Underwater Acoustic Communication Channel Parameters
시변 스파스 수중 음향 통신 채널 매개변수 추정
|dc.description||학위논문 (박사)-- 서울대학교 대학원 : 조선해양공학과, 2012. 8. 성우제.||-|
|dc.description.abstract||This dissertation addresses the problem of estimating the channel parameters of time-varying sparse underwater acoustic communication channels. A new method to estimate the channel parameters including arrival time delay, incidence angle, Doppler frequency, and complex amplitude of impinging wave components is presented.
The new method exploits the sparse structure of the wideband underwater acoustic communication channel and is based on the matching pursuit which iteratively identifies multipath components by projecting the target signal on the columns of dictionary which are hypothesized by the channel parameters. Because of the large dimension of the parameter space, the size of dictionary can be prohibitively large especially when the parameter range is oversampled for effective sparse approximation.
In order to prevent the dictionary from being too large, the parameter estimation is achieved in two stages which are the identification and the iterative estimation stages. In the identification stage, the initial parameter values are identified using a pre-computed dictionary of low coherence. In the next estimation stage, a coherent and redundant dictionary of the oversampled parameter range is constructed from the identified parameter values, and the channel parameters are estimated by projecting the residual signal onto the redundant dictionary. To reduce memory requirement and computational complexity caused by using the redundant dictionary, a space-alternating estimation scheme is introduced to separate the parameter search space. The space-alternating scheme limits the size of the redundant dictionary within practical extent and accordingly reduces the computational burden of the matrix-vector product required in the iteration.
The performance of the new method is evaluated via Monte Carlo simulation and real channel measurement data analysis.
The Monte Carlo simulation evaluates the resolution performance by resolving two paths of small parameter differences, and its result shows that the new method successfully decomposes multipath components whose parameter differences are merely a subfraction of the resolution limit of the classical correlation-based method.
It is also applied to the experimental data obtained in the large scale water tank which is capable of making a surface gravity wave with designated wave parameter. The channel parameters under the time-varying regular surface wave condition is analytically derived from a simple reflection constraint, and the channel parameters by the new channel estimation method are compared with those analytic solution showing that the estimation results are consistent with theoretical expectation.
Finally, it is applied to the real channel data of shallow water which were acquired at various transmitter-receiver ranges. The performance of the estimated channel parameters is evaluated indirectly via comparison of the channel characteristic functions which are the delay-Doppler-spread function, the angle-Doppler-spread function, and the power delay and angle profiles. The comparison result shows that the estimated channel parameters coincide well with the channel characteristic functions obtained by the matched filter and accordingly proves that the presented method gives consistent estimation result for the estimation of real channel parameters.
TABLE OF CONTENTS III
LIST OF TABLES V
LIST OF FIGURES VI
CHAPTER 1 INTRODUCTION 1
1.1 BACKGROUND 1
1.2 DEFINITIONS 3
1.3 PRIOR WORK 4
1.4 THESIS OUTLINE 8
CHAPTER 2 SPARSE CHANNEL ESTIMATION 9
2.1 ANGLE-DELAY-DOPPLER-SPREAD FUNCTION 9
2.2 ORTHOGONAL MATCHING PURSUIT 17
2.3 SPACE-ALTERNATING MATCHING PURSUIT 23
2.4 COMPUTATIONAL COMPLEXITY 27
CHAPTER 3 PARAMETER ESTIMATION OF SYNTHETIC CHANNEL 33
3.1 PERFORMANCE EVALUATION METHOD 33
3.2 MEAN SQUARE ERROR PERFORMANCE 36
CHAPTER 4 PARAMETER ESTIMATION OF REAL CHANNELS 42
4.1 WATER TANK CHANNEL EXPERIMENT 42
4.1.1 Surface Reflected Signal Model 48
4.1.2 Comparison between Data and Model 51
4.2 SHALLOW WATER CHANNEL EXPERIMENT 55
4.2.1 Estimation of Incidence Angle 58
4.2.2 Estimation of Doppler Shift 62
4.2.3 Delay and Angle Profiles 67
CHAPTER 5 CONCLUSIONS 76
초 록 82
감사의 글 85
|dc.subject||array signal processing||-|
|dc.subject||time-varying multipath channel||-|
|dc.title||Estimation of Time-Varying Sparse Underwater Acoustic Communication Channel Parameters||-|
|dc.title.alternative||시변 스파스 수중 음향 통신 채널 매개변수 추정||-|
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- College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Naval Architecture and Ocean Engineering (조선해양공학과)Theses (Ph.D. / Sc.D._조선해양공학과)