Keywords and Phrases
3-D radar imaging; Adaptive turbo equalization; Compressed sensing (CS); Sparse nonlinear optimization; Underwater acoustic (UWA) communications
"This dissertation proposes three classes of new sparse nonlinear optimization algorithms for network echo cancellation (NEC), 3-D synthetic aperture radar (SAR) image reconstruction, and adaptive turbo equalization in multiple-input multiple-output (MIMO) underwater acoustic (UWA) communications, respectively.
For NEC, the proposed two proportionate affine projection sign algorithms (APSAs) utilize the sparse nature of the network impulse response (NIR). Benefiting from the characteristics of l₁-norm optimization, affine projection, and proportionate matrix, the new algorithms are more robust to impulsive interferences and colored input than the conventional adaptive algorithms.
For 3-D SAR image reconstruction, the proposed two compressed sensing (CS) approaches exploit the sparse nature of the SAR holographic image. Combining CS with the range migration algorithms (RMAs), these approaches can decrease the load of data acquisition while recovering satisfactory 3-D SAR image through l₁-norm optimization.
For MIMO UWA communications, a robust iterative channel estimation based minimum mean-square-error (MMSE) turbo equalizer is proposed for large MIMO detection. The MIMO channel estimation is performed jointly with the MMSE equalizer and the maximum a posteriori probability (MAP) decoder. The proposed MIMO detection scheme has been tested by experimental data and proved to be robust against tough MIMO channels."--Abstract, page iv.
Zheng, Y. Rosa
Grant, Steven L.
Electrical and Computer Engineering
Ph. D. in Electrical Engineering
Missouri University of Science and Technology
Journal article titles appearing in thesis/dissertation
- Proportionate affine projection sign algorithm for network echo cancellation
- A comparative study of compressed sensing for 3-D synthetic aperture radar image reconstruction
- Robust adaptive channel estimation in MIMO underwater acoustic communications
xi, 105 pages
© 2014 Zengli Yang, All rights reserved.
Dissertation - Open Access
Library of Congress Subject Headings
Signal processing -- Digital techniques
Underwater acoustic telemetry
Wireless communication systems
Adaptive control systems
Electronic OCLC #
Yang, Zengli, "Sparse nonlinear optimization for signal processing and communications" (2014). Doctoral Dissertations. 2267.