3 May 2016 Multi-input multi-output waveform optimization for synthetic aperture sonar
Author Affiliations +
The important part to any multi-input and multi-output (MIMO) system is the set of signals. These signals must be designed so that they can be simultaneously transmitted and received with minimal signal-to-signal interference and low spatial ambiguity. In addition, the signals must adhere to strict time and bandwidth constraints. To achieve this, we use the prolate spheroidal wave functions (PSWFs) as the basis functions for the approximate signals. Then, we define a cost function on the oblique manifold and use known Riemannian steepest descent to find the coefficients of the signals so that the output signals satisfy the MIMO design criteria.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Melissa Marchand, Melissa Marchand, Wen Huang, Wen Huang, Kyle A. Gallivan, Kyle A. Gallivan, Bradley Marchand, Bradley Marchand, "Multi-input multi-output waveform optimization for synthetic aperture sonar", Proc. SPIE 9823, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, 98231X (3 May 2016); doi: 10.1117/12.2229054; https://doi.org/10.1117/12.2229054


SCAF estimation of time delay and Doppler stretch
Proceedings of SPIE (September 20 2007)
Motion compensation on synthetic aperture sonar images
Proceedings of SPIE (September 28 2006)
Common aperture multiband radar (CAMBR)
Proceedings of SPIE (November 04 1996)
Uniform tight frames for signal processing and communication
Proceedings of SPIE (December 04 2001)

Back to Top