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EECS 826 InSAR and Applications

EECS 826 InSAR and Applications. Spring 2009 Project Background Information, Scope, and Expectations. InSAR and multi-aperture radar schemes.

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EECS 826 InSAR and Applications

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  1. EECS 826InSAR and Applications Spring 2009 ProjectBackground Information, Scope, and Expectations

  2. InSAR and multi-aperture radar schemes • As we have discussed throughout the semester, InSAR allows the extraction of a new dimension from radar data. This is made possible by the use of multiple radar apertures. • InSAR enables surface elevations mapping – as well as surface velocities, change detection, and other novel capabilities. • Other multi-aperture radar schemes have emerged that also present new capabilities, the most prominent of which is SAR tomography.

  3. InSAR and multi-aperture radar schemes • This project provides an opportunity to apply of some of the interferometric processing steps discussed in class. • Since the homework assignments have focused on standard radar and SAR processing issues (i.e., pulse compression and azimuth compression) the project bypasses these steps and focuses on the exploitation of the multi-aperture signals. • A MATLAB file containing a sample elevation profile is provided. This file, named “elevation.mat” is available for downloading from the course website.

  4. InSAR and multi-aperture radar schemes • Once downloaded into your workspace, the MATLAB command load(‘elevation.mat’) will cause two 100-point data vectors, x and z, to be created in your program. The z vector represents the elevation of the surface at a horizontal offset x, as shown in the figure below.

  5. InSAR and multi-aperture radar schemes • InSAR analysis of this elevation profile involves the following steps: • For offsets from 500 to 2000 m, determine the observed RCS by first finding the local slope and incidence angle then using the expression for  given. • Following the steps outlined in slides 17 through 19 of the InSAR Basics presentation, produce elevation estimates from the interferometric phase obtained from the two antennas (A1 and A2). • Repeat the previous task after adding noise to the simulated received signal data and observe the effects.

  6. InSAR and multi-aperture radar schemes • Now consider a scenario where an eight-element antenna array is used instead of only an antenna pair, as illustrated on the following slide. • In this configuration, antenna elements labeled #1 and #8 are used to alternatively illuminate the scene (i.e., ping-pong mode operation) and all 8 elements are used in receive mode. • Therefore a total of sixteen signals are available for analysis.

  7. SAR interferometric geometry • Transmit on antennas 1 and 8Receive on all antennas (1 – 8) • H≈ 3000 md = 0.61 m7d = 4.27 m • H » d  parallel rays • 1 ≈ 2 ≈    ≈ 8 Transmitting on 1 yields 11, 12, 13, 14, 15, 16, 17, & 18 Transmitting on 8 yields81, 82, 83, 84, 85, 86, 87, & 88 • Multistatic configuration • Transmit on m (m = 1 or 8) • Receive on n (n = 1, 2, …, 8) • When m = 1:

  8. InSAR and multi-aperture radar schemes • Using the elevation data used in the earlier problems, simulate the signal data for each receiver channel and apply tomographic SAR methods to produce an elevation map. • Information on tomographic SAR theory can be found in the papers posted on the course website under the Project heading.

  9. Project Mission • Apply InSAR techniques to produce elevation profiles from simulated data, as outlined in the specified tasks. • Learn about SAR tomography from the available papers and apply this technique to the simulated data. • Project report must include: • Clear problem statement • Outline of the proposed solution • Description of the approach followed and the associated analysis • Conclusion assessing capabilities and limitations of these techniques

  10. Constraints • Team size: 1 to 4 persons • Report includes: • Cover page (1 pg)includes title, list of authors, abstract • Report body (10 pgs max)clearly identify who wrote each section • References page cite references properly to avoid plagiarism • Appendices data, graphs, program code, minimal text • Format: All margins 1”, 11-pt Arial font, line spacing of 1.5 • Due on 8 May 2009 • Electronic submission, pdf format • Evaluation based on technical content, writing, format, etc.

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