The Mininec System: Microcomputer Analysis of Wire Antennas

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Subsequently, S21 and S31 scattering parameters are computed for each frequency fk in the set. The use of smart antennas allow wireless operations to control and optimize coverage with flexibility and precision. The northern half of the brightest band in the map is brighter than the southern half, and it reveals some detailed structure, down to the 1900- kilometer (1200-mile) resolution of the PPR, which is not always readily correlated with variations of the visual cloud field.

Pages: 267

Publisher: Artech House Publishers (June 1988)

ISBN: 0890062641

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Beamforming Fundamentals. 37 4.. .. .. .. .. .. . 79 5.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . 75 5.. .. .. .. .. .. .. .. DOA Estimation Fundamentals. .. .. .. .. .. .. .. .. .. .. 70 5.. .. .. .2 Capon’s Minimum Variance Method. .3.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .1 Introduction. .. .. .. .. . 82 5.. 80 5.. .. .. .. .. .. .. .. .. . 42 Space Division Multiple Access (SDMA). .. . 90 6.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .2 The Recursive Least-Squares (RLS) Algorithm .4 The Subspace-Based Data Model. .. .. .. .. . .6 4.. .. .. .. .. .. .. .. .2 Statistically Optimum Beamforming Weight Vectors. .. .2.. .. 85 6.. .. .. .. .. .. .53 Basic Principles. .. .. .. .. .. .. . .8 4.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 97 6.1 Switched-Beam Antennas. . .9 Smart Antenna Configurations. .. .. .. .. .. .7 Subspace Approach to DOA Estimation. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .5 Linearly Constrained Minimum Variance (LCMV). .. 99. .. .. .. .. .. .. .. .4 Direct Matrix Inversion (DMI). .. .. .. .. .. .4.. .. .. .. .. .vi INTRODUCTION TO SMART ANTENNAS 4.. .6.. .. .. .. .. .. .. .. .. .. .. .. .. .. . .4.. .. .. .. .. 78 5.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 89 6.. .. .4 4.. .. . .6.. .. .. .2 The Multiple Sidelobe Canceller and the Maximum SINR Beamformer. .. .. .. .. .. .. .. .. .. .2.. .. . 51 Benefits and Drawbacks.. 88 6.. .. .5 Signal Autocovariance Matrices. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .2.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .7 4. .8 Uniqueness of DOA Estimates. .. .. .. .. .. . .6 Conventional DOA Estimation Methods. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 94 6.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .3.. .. .. .. .. .. .. .6.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. 55 Mutual Coupling Effects. .. .. .. .. .. .. . 39 4.. .. 48 4.. .2 Adaptive Antenna Approach. .. .. .. .. .. .. .. .. .. .. .. .. .1 The Classical Beamformer. .. .. .. .. . .1 The Least Mean-Square (LMS) Algorithm. .. .. 96 6.. .. .. .. .. .. . 87 6.. .. .. .. .. .. 64 5.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .5 4.. .. .. .. .1 Receiver. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .7.. .. . 77 5.. .. .. .. .. 78 5.. .. .. .. .. .. .. .. .. .. .. .. . .2.. .. .. . .2.. .. .. .3 Minimum Mean Square Error (MMSE). .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .7.. .3 Adaptive Algorithms for Beamforming. .. .. .. .. .. 69 5.. .. .. .. .. .. .. . 92 6.. .. .. .. .. .. . 73 5.. 91 6.. . 71 5.. .1 The Maximum SNR Beamformer. .. .. .. .. .. .. .. .. .. .. .. 79 5.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .4 Adaptive Signal Processing Algorithms.. .. 137 8.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . 129 8.. .. .. .. .. .. .. .. . 102 The Quasi-Newton (QN) Algorithm. .. .111 7.. .. .. .. .. .. .. .. .. .. .. .. . .149. .. .. .. .. .. .. .. .. .. . .6.3 Data Rate Limits Within a Cellular System. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .4.. .. .. .. .. .. .1 ISI Suppression. .. .. .. .. .. .. .3 Joint ISI and CCI Suppression. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .4.. .. .. .. .. . .7 Discussion. .. .. .. .. . 101 The Affine-Projection (AP) Algorithm. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. . .3 Space–Time Beamforming. .. .. .. .. .. .. .. . .1 Introduction. . .6.. .. .5 Trellis-Coded Modulation (TCM) for Adaptive Arrays. .. .. .. .. 137 8.. .. .. .. .. .. .. .. .. .3.. . .3.. .. .. .. .. . 122 8.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .4 6.. .. .. .. .. . .4.. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .3 Mutual Coupling. .. .. .. 114 7.. .. .. .. .. .. ref.: Introduction to Adaptive Arrays (Electromagnetics and Radar) Introduction to Adaptive Arrays.

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