IP Library Granted Patent US 8,725,784
Granted Patent B2
US 8,725,784 · App. 13/257,481 · Granted May 13, 2014

Method and apparatus for compressive domain filtering and interference cancellation

Inventors: Mark A. Davenport (Los Altos Hills, CA); Petros T. Boufounos (Boston, MA); Richard G. Baraniuk (Houston, TX)
Assignee: William Marsh Rice University
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Quick Facts
Patent No.
US 8,725,784
App. No.
13/257,481
Granted
May 13, 2014
Kind
B2
Abstract

A method for compressive domain filtering and interference cancelation processes compressive measurements to eliminate or attenuate interference while preserving the information or geometry of the set of possible signals of interest. A signal processing apparatus assumes that the interfering signal lives in or near a known subspace that is partially or substantially orthogonal to the signal of interest, and then projects the compressive measurements into an orthogonal subspace and thus eliminate or attenuate the interference. This apparatus yields a modified set of measurements that can provide a stable embedding of the set of signals of interest, in which case it is guaranteed that the processed measurements retain sufficient information to enable the direct recovery of this signal of interest, or alternatively to enable the use of efficient compressive-domain algorithms for further processing. The method and apparatus operate directly on the compressive measurements to remove or attenuate unwanted signal components.

Claims (33)

1. A method for removing or attenuating undesired components from a set of measurements while preserving information contained in the set of measurements concerning components of interest, the method comprising the steps of:

obtaining compressive measurements of a signal, said signal comprising a signal of interest and interference, said signal of interest residing in or near a first set of signals and said interference residing in or near a second set of signals, wherein elements of said second set of signals are partially orthogonal to elements of said first set of signals; and

processing said compressive measurements to eliminate or attenuate said interference.

2. A method for removing or attenuating undesired components from a set of compressive measurements while preserving information contained in the measurements concerning components of interest in accordance with claim 1 , wherein said step of obtaining compressive measurements comprises a dimensionality reduction from a higher dimensional space to a lower dimensional space.

3. A method for removing or attenuating undesired components from a set of compressive measurements while preserving information contained in the measurements concerning components of interest in accordance with claim 1 , wherein said step of obtaining compressive measurements comprises obtaining compressive measurements by a random or pseudorandom projection operator.

4. A method for removing or attenuating undesired components from a set of compressive measurements while preserving information contained in the measurements concerning components of interest in accordance with claim 1 , wherein said step of obtaining compressive measurements comprises obtaining compressive measurements by a valid compressive sensing matrix.

5. A method for removing or attenuating undesired components from a set of compressive measurements while preserving information contained in the measurements concerning components of interest in accordance with claim 1 , wherein said first set of signals is a union of subspaces and said second set is a subspace.

6. A method for removing or attenuating undesired components from a set of compressive measurements while preserving information contained in the measurements concerning components of interest in accordance with claim 5 , wherein said subspace of said second set of signals is substantially orthogonal to said union of subspaces of said first set of signals.

7. A method for removing or attenuating undesired components from a set of compressive measurements while preserving information contained in the measurements concerning components of interest in accordance with claim 1 , wherein said first set of signals is a subspace and said second set is a union of subspaces.

8. A method for removing or attenuating undesired components from a set of compressive measurements while preserving information contained in the measurements concerning components of interest in accordance with claim 1 , wherein said first set of signals is a finite dictionary of signals and said second set of signals is a subspace.

9. A method for removing or attenuating undesired components from a set of compressive measurements while preserving information contained in the measurements concerning components of interest in accordance with claim 7 , wherein said union of subspaces of said second set are substantially orthogonal to first subspace of said first set.

10. A method for removing or attenuating undesired components from a set of compressive measurements while preserving information contained in the measurements concerning components of interest in accordance with claim 1 , wherein said first set of signals is a subspace and said second set of signals is a finite dictionary of signals.

11. A method for removing or attenuating undesired components from a set of compressive measurements while preserving information contained in the measurements concerning components of interest in accordance with claim 1 , wherein said first set of signals follow a parametric model and said second set of signals is a subspace.

12. A method for removing or attenuating undesired components from a set of compressive measurements while preserving information contained in the measurements concerning components of interest in accordance with claim 1 , wherein said first set of signals is a subspace and said second set of signals follows a parametric model.

13. A method for removing or attenuating undesired components from a set of compressive measurements while preserving information contained in the measurements concerning components of interest in accordance with claim 1 , wherein said step of processing said compressive measurements to eliminate said interference comprises projecting the measurements onto a subspace.

14. A method for removing or attenuating undesired components from a set of compressive measurements while preserving information contained in the measurements concerning components of interest in accordance with claim 13 , wherein said step of projecting the measurements is performed by applying a projection matrix to the measurements.

15. A method for removing or attenuating undesired components from a set of compressive measurements while preserving information contained in the measurements concerning components of interest in accordance with claim 13 , wherein said step of projecting the measurements is performed via an iterative algorithm.

16. A method for removing or attenuating undesired components from a set of compressive measurements while preserving information contained in the measurements concerning components of interest in accordance with claim 1 , wherein said step of processing said compressive measurements to eliminate said interference comprises processing the measurements so that they lie near a subspace.

17. A method for signal acquisition in the presence of interference, the method comprising the steps of:

obtaining compressive measurements of a signal, said signal comprising a signal of interest and interference, said signal of interest residing in or near a first set of signals and said interference residing in or near a second set of signals, wherein elements of said second set are partially orthogonal to elements of said first set;

processing said compressive measurements to eliminate or attenuate said interference; and

reconstructing said signal of interference.

18. A method for detecting the presence or absence of a signal of interest in the presence of interference, the method comprising the steps of:

obtaining compressive measurements of a signal, said signal comprising a signal of interest and interference, said signal of interest residing in or near a first set of signals and said interference residing in or near a second set of signals, wherein elements of said second set are partially orthogonal to elements of said first set;

processing said compressive measurements to eliminate or attenuate said interference; and

detecting the presence or absence of said signal of interest.

19. A method for classifying a signal of interest in the presence of interference, the method comprising the steps of:

obtaining compressive measurements of a signal, said signal comprising a signal of interest and interference, said signal of interest residing in or near a first set of signals and said interference residing in or near a second set of signals, wherein elements of said second set are partially orthogonal to elements of said first set;

processing said compressive measurements to eliminate or attenuate said interference; and classifying said signal of interest.

20. A method for estimating a function of a signal of interest in the presence of interference, the method comprising the steps of:

obtaining compressive measurements of a signal, said signal comprising a signal of interest and interference, said signal of interest residing in or near a first set of signals and said interference residing in or near a second set of signals, wherein elements of said second set are partially orthogonal to elements of said first set;

processing said compressive measurements to eliminate or attenuate said interference; and

estimating the value of said function that is consistent with said processed measurements.

Assignments (2)
CONFIRMATORY LICENSE Recorded Feb 14, 2013
From: RICE UNIVERSITY
To: NAVY, SECRETARY OF THE UNITED STATES OF AMERICA
Reel/Frame 029927/0156 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 28, 2012
From: DAVENPORT, MARK A; BOUFOUNOS, PETROS T; BARANIUK, RICHARD G
To: WILLIAM MARSH RICE UNIVERSITY
Reel/Frame 028462/0715 →
Continuity (2)
Provisional Application 61161760 · Mar 19, 2009
Related Publication 20120016921A1 · Jan 19, 2012