High-Resolution and Robust Signal Processing
Yingbo Hua, Alex Gershman, Qi Cheng
CRC Press, Oct 15, 2003 - Technology & Engineering - 550 pages
High-Resolution and Robust Signal Processing describes key methodological and theoretical advances achieved in this domain over the last twenty years, placing emphasis on modern developments and recent research pursuits. Applications-grounded, this sophisticated resource links theoretical background with high-resolution methods used in wireless communications, brain signal analysis, and space-time radar signal processing.
Chapter extras include theorem proofs, derivations, and computational shortcuts, as well as open problems, numerical measurement, and performance examples, and simulation results
Sixteen illustrious field leaders invest High-Resolution and Robust Signal Processing with: in-depth reviews of parametric high-resolution estimation and detection techniques; robust array processing solutions for adaptive beam forming and high-resolution direction finding; Parafac techniques for high-resolution array processing and specific areas of application; high-resolution nonparametric methods and implementation tactics for spectral analysis; multidimensional high-resolution data models and discussion of R-D unitary ESPRIT with colored noise; multidimensional high-resolution parameter estimation techniques applicable to channel sounding; estimation procedures for high-resolution space-time radar signal processing using 2-D or 1-D/1-D models; and models and methods for EEG/MEG space-time dipole source estimation and sensory array design.
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ROBUSTNESS ISSUES IN ADAPTIVE BEAMFORMING
PARAFAC TECHNIQUES FOR HIGHRESOLUTION ARRAY
A. B. Gershman Acoust adaptive beamforming algorithm amplitude analysis antenna array applications approach array processing assumed assumption asymptotic azimuth basis functions calibration Capon and APES channel columns complex compute constraint corresponding data matrix data model decomposition defined denotes diagonal dimension direction finding DOA estimation Doppler eigenvalues eigenvectors elements equation error example Figure filter filterbank Fourier frequency estimation frequency hopped Gaussian harmonic retrieval high-resolution IEEE IEEE Trans least squares likelihood function linear prediction matrix pencil maximum likelihood measurement method minimization ML estimates multidimensional multiple noise covariance nonparametric obtained optimal parameter estimation performance polynomial problem Proc propagation radar rank real-valued resolution robust sample covariance matrix SAR imaging Section sensor array shown signal parameters Signal Processing sinusoids snapshots solution spatial spectral estimate spectral MUSIC spectrum steering vector Stoica subarray Subsection target techniques temporal Theorem transform Unitary ESPRIT unknown variance white noise