Thesis
Realizations of adaptive array processors with directional and spectral constraints
University of Iowa
Master of Science (MS), University of Iowa
Spring 1985
DOI: 10.25820/etd.008507
Abstract
The purpose of this thesis is to present a class of linearly constrained adaptive array processors. An adaptive array processor consists of an array of sensors followed by an adaptive multichannel filter. The relevant filter coefficients are updated by an adaptive algorithm such that the system responds to a signal coming from a desired direction with a preset/ constrained frequency response, while discriminating against noises whose power spectrums are not overlapped with the constrained frequency response and those coming from other directions.
Recently, it has been shown that the linearly constrained array processing problem can be transformed into a general multichannel noise cancellation problem. A main advantage of this approach is that we can easily use a variety of currently available adaptive multichannel filtering techniques whose properties are rather well known. Typically, the least mean square (LMS) algorithm has been successfully applied to update the coefficients of a multichannel tapped-delay-line (TDL) filter.
In this thesis, it is proposed to implement the linearly constrained adaptive array processor using multichannel lattice and escalator filters. Due to the Gram Schmidt orthogonalization properties of the two filter structures, the proposed realizations converge faster and yield smaller estimation errors than the TDL counterpart. Computer simulation results comparing the performances of the multichannel TDL, lattice, and escalator filters for the linearly constrained adaptive array processing problem are presented.
Details
- Title: Subtitle
- Realizations of adaptive array processors with directional and spectral constraints
- Creators
- Byongkun Chang - University of Iowa
- Contributors
- Dae Hee Youn (Advisor) - University of Iowa
- Resource Type
- Thesis
- Degree Awarded
- Master of Science (MS), University of Iowa
- Degree in
- Electrical and Computer Engineering
- Date degree season
- Spring 1985
- DOI
- 10.25820/etd.008507
- Publisher
- University of Iowa
- Number of pages
- viii, 56 pages
- Copyright
- No known copyright restrictions
- Comment
This thesis has been optimized for improved web viewing. If you require the original version, contact the University Archives at the University of Iowa: https://www.lib.uiowa.edu/sc/contact/
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9985224324002771
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