Adaptive array measurements in communications
著者
書誌事項
Adaptive array measurements in communications
(The Artech House antennas and propagation library)
Artech House, 2001
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
One of the most damaging factors associated with any radio communication system is the effect of undesirable or interference signals. This book gives you the knowledge you need to ensure your adaptive array system is protecting your communication links to the fullest. It presents concepts and procedures that help you realize the maximum processing capabilities of a given system, choose the right system for a specific application, and identify precautionary steps to avoid adverse effects. Using easy-to-understand language and no higher than secondary school mathematics, this resource shows you how to predict the number of interference signals that your system can simultaneously process, the null depth that can be achieved for each interference signal processed by the system, and the effect of external influences on system performance. You learn how to make the trade-off among various quantities such as the desirable signal level, the number of interference signals, and the possible null depth associated with each interference signal.
目次
- Fundamental concept: introduction
- conceptual representation of adaptive arrays
- the linear array
- the beamformer
- the signals
- the signal processing network
- adaptive signal processing. Simplified analysis: the signals
- two source two output system
- two source three output system
- two source multi output system
- three source two output system
- three source three output system
- multi source two output system
- multi source multi output system
- leakage of the desired signal into the AUX port
- effect of the offset voltage on system performance
- effect of the space noise on system performance
- the feed back loop
- examples of practical beamformers
- phase shifters and hybrids. Basic matrix expressions: introduction
- the signals
- the signal processing network
- modal representation of matrix expressions
- physical significance of eigenvalues.
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