Multirate systems and filter banks
Multirate systems and filter banks
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Subband processing for broadband microphone arrays
Journal of VLSI Signal Processing Systems - Special issue on array optimization and adaptive tracking algorithms
Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
A subband adaptive filter with the optimum analysis filter bank
ICASSP '95 Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02
Resolution limits of blind multi-user multi-channel identification schemes-the bandlimited case
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 05
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
New constraining method for partitioned block frequency-domain adaptive filters
IEEE Transactions on Signal Processing
A signal subspace-based subband approach to space-time adaptiveprocessing for mobile communications
IEEE Transactions on Signal Processing
A computationally efficient frequency-domain LMS algorithm withconstraints on the adaptive filter
IEEE Transactions on Signal Processing
Performance analysis for subband identification
IEEE Transactions on Signal Processing
Blind adaptive wideband beamforming for circular arrays based on phase mode transformation
Digital Signal Processing
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Intersymbol interference (ISI) and cochannel interference (CCI) are two primary sources of signal impairment in mobile communications. In order to suppress both ISI and CCI, space-time adaptive processing (STAP) has been shown to be effective in performing spatio-temporal equalization, leading to increased communication capacity as well as improved quality of service. The high complexity and slow convergence, however, often impede practical STAP implementations. Several subband array structures have been proposed as alternatives to STAP. These structures provide optimal or suboptimal steady-state performance with reduced implementation complexity and improved convergence performance. The purpose of this paper is to investigate the steady-state performance of subband arrays with centralized and localized feedback schemes, using different decimation rates. Analytical expressions of the minimum mean-square error (MMSE) performance are derived. The analysis assumes discrete Fourier transform (DFT)-based subband arrays and considers both unconstrained and constrained weight adaptations.