Paper
3 May 2016 Multi-input multi-output waveform optimization for synthetic aperture sonar
Melissa Marchand, Wen Huang, Kyle A. Gallivan, Bradley Marchand
Author Affiliations +
Abstract
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, Wen Huang, Kyle A. Gallivan, and 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); https://doi.org/10.1117/12.2229054
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Cited by 1 scholarly publication.
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KEYWORDS
Niobium

Transmitters

Receivers

Signal generators

Neodymium

Modulation

Optical spheres

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