Skip to Main Content
 

Global Search Box

 
 
 
 

ETD Abstract Container

Abstract Header

Signal Subspace Processing in the Beam Space of a True Time Delay Beamformer Bank

Wilkins, Nathan Allen

Abstract Details

2015, Doctor of Philosophy (PhD), Wright State University, Electrical Engineering.
A number of techniques for Radio Frequency (RF) source location for wide bandwidth signals have been described that utilize coherent signal subspace processing, but often suffer from limitations such as the requirement for preliminary source location estimation, the need to apply the technique iteratively, computational expense or others. This dissertation examines a method that performs subspace processing of the data from a bank of true time delay beamformers. The spatial diversity of the beamformer bank alleviates the need for a preliminary estimate while simultaneously reducing the dimensionality of subsequent signal subspace processing resulting in computational efficiency. The pointing direction of the true time delay beams is independent of frequency, which results in a mapping from element space to beam space that is wide bandwidth in nature. This dissertation reviews previous methods, introduces the present method, presents simulation results that demonstrate the assertions, discusses an analysis of performance in relation to the Cramer-Rao Lower Bound (CRLB) with various levels of noise in the system, and discusses computational efficiency. One limitation of the method is that in practice it may be appropriate for systems that can tolerate a limited field of view. The application of Electronic Intelligence is one such application. This application is discussed as one that is appropriate for a method exhibiting high resolution of very wide bandwidth closely spaced sources and often does not require a wide field of view. In relation to system applications, this dissertation also discusses practical employment of the novel method in terms of antenna elements, arrays, platforms, engagement geometries, and other parameters. The true time delay beam space method is shown through modeling and simulation to be capable of resolving closely spaced very wideband sources over a relevant field of view in a single algorithmic pass, requiring no course preliminary estimation, and exhibiting low computational expense superior to many previous wideband coherent integration techniques.
Arnab Shaw, Ph.D. (Advisor)
Kefu Xue, Ph.D. (Committee Member)
Marty Emmert, Ph.D. (Committee Member)
Ronald Riechers, Ph.D. (Committee Member)
Mohsin Jamali, Ph.D. (Committee Member)
242 p.

Recommended Citations

Citations

  • Wilkins, N. A. (2015). Signal Subspace Processing in the Beam Space of a True Time Delay Beamformer Bank [Doctoral dissertation, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1433034139

    APA Style (7th edition)

  • Wilkins, Nathan. Signal Subspace Processing in the Beam Space of a True Time Delay Beamformer Bank. 2015. Wright State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1433034139.

    MLA Style (8th edition)

  • Wilkins, Nathan. "Signal Subspace Processing in the Beam Space of a True Time Delay Beamformer Bank." Doctoral dissertation, Wright State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1433034139

    Chicago Manual of Style (17th edition)