- Page 1 and 2: UNIVERSITY OF CALIFORNIA, SAN DIEGO
- Page 3 and 4: The dissertation of Caglar Yardim i
- Page 5 and 6: TABLE OF CONTENTS Signature Page .
- Page 7 and 8: 4.5 Discussion . . . . . . . . . .
- Page 9 and 10: Figure 2.10: Marginal posterior pro
- Page 11 and 12: Figure 4.6: Case Study II: Temporal
- Page 13 and 14: ACKNOWLEDGMENTS I would like to gen
- Page 15 and 16: VITA 1998 B.S. in Electrical Engine
- Page 17 and 18: Major Field: Electrical Engineering
- Page 19 and 20: The first part of this thesis discu
- Page 21 and 22: 2 models. 2. Electromagnetic Theory
- Page 23: 4 in nature. On the other hand if t
- Page 27 and 28: 8 is no more bounded below by the s
- Page 29 and 30: 10 Fig. 1.3 (b) shows what happens
- Page 31 and 32: 12 Doppler spread radars [5] are an
- Page 33 and 34: 14 1.3.1 Tropospheric Propagation U
- Page 35 and 36: 16 Now the wave equation can readil
- Page 37 and 38: 18 solution for U(r, p) as −p 2
- Page 39 and 40: 20 where C accounts for all the con
- Page 41 and 42: 22 Figure 1.5: Sea surface grazing
- Page 43 and 44: 24 atmospheric index of refraction
- Page 45 and 46: 26 implementation of the PF. Both K
- Page 47 and 48: 28 [12] Amalia E. Barrios. Paraboli
- Page 49 and 50: 2 Estimation of Radio Refractivity
- Page 51 and 52: 32 requiring any additional measure
- Page 53 and 54: 34 sity (PPD), which can be accompl
- Page 55 and 56: 36 Posterior density of any specifi
- Page 57 and 58: 38 set up the MCMC such that the de
- Page 59 and 60: 40 2.2.4 Monte Carlo Integration Mo
- Page 61 and 62: 42 parameter axes, it is hard to sa
- Page 63 and 64: 44 2.3.4 Post-Processing After the
- Page 65 and 66: 46 Figure 2.5: Initial sampling pha
- Page 67 and 68: 48 0.04 c 1 −2.6 −2.4 −2.2 0.
- Page 69 and 70: 50 VA Wallops Is. SPANDAR Helicopte
- Page 71 and 72: 52 0.05 c 1 0 −1 −0.5 0 M−uni
- Page 73 and 74: 54 (a) 200 −100 (d) 200 150 100 5
- Page 75 and 76:
56 (a) 0.2 (b) 0.2 0.15 0.15 PPD(F)
- Page 77 and 78:
58 d m f(·) f(m) φ(m) n N R N N e
- Page 79 and 80:
60 Bibliography [1] S. Vasudevan an
- Page 81 and 82:
[25] Julius Goldhirsh and Daniel Do
- Page 83 and 84:
64 Hastings (M-H) and Gibbs samplin
- Page 85 and 86:
66 dimensional integrals of the joi
- Page 87 and 88:
68 where C d is the data error cova
- Page 89 and 90:
70 By introducing a weight function
- Page 91 and 92:
72 entire search space and there is
- Page 93 and 94:
74 3. Gibbs Resampling: Run a fast
- Page 95 and 96:
76 Figure 3.2: Voronoi cells and a
- Page 97 and 98:
78 (a) 5 c 1 5 5 5 h 2 (b) 0 0.1 0.
- Page 99 and 100:
80 density. However, it is sampling
- Page 101 and 102:
82 (a) 5 c 1 5 5 5 h 2 (b) 0 0.1 0.
- Page 103 and 104:
84 Figure 3.9: An example of range-
- Page 105 and 106:
86 full PPD is 16-D, only 1-D (diag
- Page 107 and 108:
88 Figure 3.11: Marginal and condit
- Page 109 and 110:
90 Table 3.3: Wallops’98 Experime
- Page 111 and 112:
92 Propagation Factor, F (dB) Propa
- Page 113 and 114:
94 [11] L. Ted Rogers, Michael Jabl
- Page 115 and 116:
4 Tracking Refractivity From Clutte
- Page 117 and 118:
98 structure. These techniques can
- Page 119 and 120:
100 the filter performance still he
- Page 121 and 122:
102 ing autocorrelation function. T
- Page 123 and 124:
104 in range using the following re
- Page 125 and 126:
106 4.3.2 Unscented Kalman Filter T
- Page 127 and 128:
108 4.3.3 Particle Filter The last
- Page 129 and 130:
110 Let J k be the inverse of the C
- Page 131 and 132:
112 Table 4.1: Case Study I: Compar
- Page 133 and 134:
Table 4.2: Performance Comparison f
- Page 135 and 136:
116 performance. Therefore, it can
- Page 137 and 138:
118 error larger than 5 m for any 5
- Page 139 and 140:
120 Table 4.3: Performance Comparis
- Page 141 and 142:
122 Table 4.4: Case Study III: Coas
- Page 143 and 144:
124 Since the layer is thin it has
- Page 145 and 146:
126 Bibliography [1] J. R. Rowland
- Page 147 and 148:
128 [23] R. A. Paulus. An overview
- Page 149 and 150:
5 Conclusions and Future Work 5.1 C
- Page 151 and 152:
132 • A hybrid GA-MCMC method bas
- Page 153 and 154:
134 Kalman filters performed remark
- Page 155:
136 mance predictions of the EKF, U