Contents & References of Orientation of broadband signals in telecommunication systems
List:
Abstract 1
Introduction. 2
Chapter One: Principles of Wave Propagation
1-1- Introduction. 4
1-2- Propagation of waves. 4
1-3-array sensors. 6
1-4- linear array signal processing. 7
1-4-1- basic assumptions. 7
1-4-1-1- far field 7
1-4-1-2- narrowband signal. 7
1-4-1-3- stationary. 8
1-4-1-4- multiple signals. 8
1-4-1-5- Noise 8
1-5- Space-time conversion. 9
1-6- Random signals. 10
Chapter Two: narrowband signal processing methods
2-1-Introduction. 15
2-2-spectrum-based methods. 15
2-3-Beam shaping methods. 15
2-3-1-Conventional beam shaping method. 15
2-3-2- Capone method. 17
2-3-3- Methods based on subspace 19
2-3-4-Method introduction. 20
2-3-5- Algorithm. 21
2-3-6- Introducing the method. 23
2-3-7- data model 25
2-3-8- ESPIRIT algorithm. 28
2-4-array antennas. 31
2-5- signal model. 35
2-6- Covariance matrix. 36
Chapter Three: Routing Broadband Signals
3-1- Introduction. 39
3-2- Introduction of broadband signals. 39
3-3- Introduction of different techniques for directing broadband signals. 41
3-3-1- Broadband data modeling. 41
3-3-2- Brief introduction of broadband signal routing methods using filter banks. 42
3-3-3- Broadband signal frequency model. 44
3-3-4- Different algorithms for routing broadband signals. 47
3-3-5- uncorrelated orientation methods. 47
3-3-6- frequency uncorrelated methods. 48
3-3-7- Forming fear by Capon method. 48
3-3-8- Arithmetic averaging. 51
3-3-9- Geometric averaging method. 52
3-3-10- Harmonic averaging method. 53
3-3-11- Broadband music algorithm. 53
3-3-12- Appropriate weighting algorithm of subspaces 55
3-3-13- Calculating estimation by method. 58
3-3-14- Practical considerations in the method. 60
3-3-15- subspace correlated orientation methods ( ) 62
3-3-16- diagonal concentration matrix method. 62
3-3-17- Method of rotating signal subspace. 64
3-3-18- Using focal matrix in the method. 66
3-3-19- Average weighting method for signal subspaces ( ) 67
Chapter four: TOPS algorithm
4-1- Introduction. 70
4-2- Basic concepts. 70
4-3- Presentation of a mathematical model. 71
4-4- Algorithm development to multidimensional space. 76
4-5- Image along the signal subspace. 78
4-6- Calculation algorithm. 80
4-6-1- Complexity of calculations. 81
Chapter V: Simulation of DOA estimation algorithms
for linear arrays. 83
5-1- Introduction. 84
5-2- Estimation algorithms. 84
5-2-1- Brief introduction of algorithms used in simulation. 84
5-2-1-1- Review of MUSIC and Capon algorithm. 85
5-2-1-2- Signal subspace correlation algorithm ( ) 86
5-2-1-3- Signal focal subspace matrix ( ) 88
5-2-1-3-1- Method calculation algorithm. 89
5-2-1-3-2-Important points in calculating the estimation method. 90
5-3- Data modeling 91
5-3-1- Characteristics of the source of the transmitted signal. 91
5-3-2- Assumptions of the data received by the antenna array. 92 5-4- Simulated scenarios.
References. 121
Abstract 1
Introduction. 2
Chapter One: Principles of Wave Propagation
1-1- Introduction. 4
1-2- Propagation of waves. 4
1-3-array sensors. 6
1-4- linear array signal processing. 7
1-4-1- basic assumptions. 7
1-4-1-1- far field 7
1-4-1-2- narrowband signal. 7
1-4-1-3- stationary. 8
1-4-1-4- multiple signals. 8
1-4-1-5- Noise 8
1-5- Space-time conversion. 9
1-6-. 9
1-6- Random signals. 10
Chapter Two: narrowband signal processing methods
2-1-Introduction. 15
2-2-spectrum-based methods. 15
2-3-Beam shaping methods. 15
2-3-1-Conventional beam shaping method. 15
2-3-2- Capone method. 17
2-3-3- Methods based on subspace 19
2-3-4-Method introduction. 20
2-3-5- Algorithm. 21
2-3-6- Introducing the method. 23
2-3-7- data model 25
2-3-8- ESPIRIT algorithm. 28
2-4-array antennas. 31
2-5- signal model. 35
2-6- Covariance matrix. 36
Chapter Three: Routing Broadband Signals
3-1- Introduction. 39
3-2- Introduction of broadband signals. 39
3-3- Introduction of different techniques for directing broadband signals. 41
3-3-1- Broadband data modeling. 41
3-3-2- Brief introduction of broadband signal routing methods using filter banks. 42
3-3-3- Broadband signal frequency model. 44
3-3-4- Different algorithms for routing broadband signals. 47
3-3-5- uncorrelated orientation methods. 47
3-3-6- frequency uncorrelated methods. 48
3-3-7- Forming fear by Capon method. 48
3-3-8- Arithmetic averaging. 51
3-3-9- Geometric averaging method. 52
3-3-10- Harmonic averaging method. 53
3-3-11- Broadband music algorithm. 53
3-3-12- Appropriate weighting algorithm of subspaces 55
3-3-13- Calculation of estimation by method. 58
3-3-14- Practical considerations in the method. 60
3-3-15- subspace correlated orientation methods ( ) 62
3-3-16- diagonal concentration matrix method. 62
3-3-17- Method of rotating signal subspace. 64
3-3-18- Using focal matrix in the method. 66
3-3-19- Average weighting method for signal subspaces ( ) 67
Chapter four: TOPS algorithm
4-1- Introduction. 70
4-2- Basic concepts. 70
4-3- Presentation of a mathematical model. 71
4-4- Algorithm development to multidimensional space. 76
4-5- Image along the signal subspace. 78
4-6- Calculation algorithm. 80
4-6-1- Complexity of calculations. 81
Chapter V: Simulation of DOA estimation algorithms
for linear arrays. 83
5-1- Introduction. 84
5-2- Estimation algorithms. 84
5-2-1- Brief introduction of algorithms used in simulation. 84
5-2-1-1- Review of MUSIC and Capon algorithm. 85
5-2-1-2- Signal subspace correlation algorithm ( ) 86
5-2-1-3- Signal focal subspace matrix ( ) 88
5-2-1-3-1- Method calculation algorithm. 89
5-2-1-3-2-Important points in calculating the estimation method. 90
5-3- Data modeling 91
5-3-1- Characteristics of the transmitted signal source. 91
5-3-2- Assumptions of the data received by the antenna array. 92
5-4- Simulated scenarios. 92
5-4-1- Scenario No. 1. 92
Chapter Six: Conclusion and Suggestions
6-1- Conclusion. 122
6-2- Suggestions. 123
References. 121
Source:
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Wang, H.