Robust adaptive beamforming
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.
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Proof of Lemma 1
Robust Capon Beamforming
Calculating the Steering Vector
7 other sections not shown
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A. B. Gershman ACMA acoustic adaptive array algorithm antenna approach array manifold array response array steering vector assume asymptotic bound CBRCB complex computed constant modulus constraint convergence correlation matrix corresponding cost function CPRCB denotes desired signal eigenvalues eigenvector equation errors example Figure FLGPR frequency Gaussian Hadamard product Hence IEEE IEEE Trans IEEE Transactions imaging results interference iterations Lagrange multiplier Lemma linear methods minimax minimax MSE minimax regret minimize mismatch ML-STBF multipath MVDR beamformer NCCB noise norm Note nullspace number of snapshots obtained orthogonal output SINR parameters performance power estimates prewhitening random matrix theory rank-deficient RCF RCB and DCRCB RMVB ROB2 Robust adaptive beamforming robust beamformer sample covariance matrix scenario Section sidelobes signal power Signal Processing signal-free solution spatial filter spectral estimation statistical STBF steering vector Stieltjes transform Stoica subband subspace techniques uncertainty set update values weight vector wideband worst-case zero