Robust Adaptive Beamforming (Wiley Series in Telecommunications and Signal Processing)

出版者:Wiley-Interscience

作者:Jian Li

页数:422

出版时间:2005-10-05

价格:USD 137.50

装帧:Hardcover

isbn号码:9780471678502

丛书系列:Wiley Series in Telecommunications and Signal Processing

图书标签:2007

The latest research and developments in robust adaptive beamforming

Recent work has made great strides toward devising robust adaptive beamformers that vastly improve signal strength against background noise and directional interference. This dynamic technology has diverse applications, including radar, sonar, acoustics, astronomy, seismology, communications, and medical imaging. There are also exciting emerging applications such as smart antennas for wireless communications, handheld ultrasound imaging systems, and directional hearing aids.

Robust Adaptive Beamforming compiles the theories and work of leading researchers investigating various approaches in one comprehensive volume. Unlike previous efforts, these pioneering studies are based on theories that use an uncertainty set of the array steering vector. The researchers define their theories, explain their methodologies, and present their conclusions. Methods presented include:

* Coupling the standard Capon beamformers with a spherical or ellipsoidal uncertainty set of the array steering vector

* Diagonal loading for finite sample size beamforming

* Mean-squared error beamforming for signal estimation

* Constant modulus beamforming

* Robust wideband beamforming using a steered adaptive beamformer to adapt the weight vector within a generalized sidelobe canceller formulation

Robust Adaptive Beamforming provides a truly up-to-date resource and reference for engineers, researchers, and graduate students in this promising, rapidly expanding field.

用户评价

robust的经典书籍，现在好几位大牛作者已经换方向了。暂时只借鉴了RMVB的方法，其中有一小推导过程似乎有误，不影响结论

robust的经典书籍，现在好几位大牛作者已经换方向了。暂时只借鉴了RMVB的方法，其中有一小推导过程似乎有误，不影响结论

robust的经典书籍，现在好几位大牛作者已经换方向了。暂时只借鉴了RMVB的方法，其中有一小推导过程似乎有误，不影响结论

專業。

robust的经典书籍，现在好几位大牛作者已经换方向了。暂时只借鉴了RMVB的方法，其中有一小推导过程似乎有误，不影响结论