Compressive sensing detector
A detector includes a sensor configured to sense a moving object in at least one of the electromagnetic spectrum and the acoustic spectrum. A fixed coded aperture of the detector is disposed between a moving object and the sensor.
1. A detector comprising:
a sensor configured to sense a moving object in at least one of the electromagnetic spectrum and the acoustic spectrum; and
a fixed coded aperture disposed between a moving object and the sensor;
a digital signal processor configured to receive signals from the single sensor, wherein the detector is a single-pixel detector and the sensor is a single pixel, the digital signal processor is configured to solve a sparse inverse problem to detect the moving object using an adaptively learning dictionary represented mathematically by:
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wherein “Φ” is the dictionary, “x” is the observed data, and “α” is the sparse model identification vector.
2. The detector set forth in claim 1 further comprising:
a sampler operatively disposed between the sensor and the digital signal processor, and configured to provide samples of a sensor output at a prescribed sample rate.
3. The detector set forth in claim 2 further comprising:
a lens disposed between the pyroelectric sensor and the fixed coded aperture.
4. The detector set forth in claim 1 , wherein the sensor is a pyroelectric sensor.
5. The detector set forth in claim 4 , wherein the digital signal processor is configured to apply analytics for reducing false detections.
6. The detector set forth in claim 1 , wherein the digital signal processor is configured to apply analytics for reducing false detections.
7. The detector set forth in claim 1 further comprising:
a lens disposed between the pyroelectric sensor and the fixed coded aperture.
8. A security system for detecting a moving object in a predefined space comprising:
a radiant energy sensor configured to monitor the space and measure energy radiating from the object in the space;
a fixed coded aperture disposed between the object and the radiant energy sensor; and a digital signal processor configured to receive signals from the radiant energy sensor; and
a digital signal processor configured to receive signals from the single sensor, wherein the detector is a single-pixel detector and the sensor is a single pixel, the digital signal processor is configured to solve a sparse inverse problem to detect the moving object using an adaptively learning dictionary represented mathematically by:
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wherein “Φ” is the dictionary, “x” is the observed data, and “α” is the sparse model identification vector.
9. The security system set forth in claim 8 further comprising:
a sampler operatively disposed between the radiant energy sensor and the digital signal processor, and configured to provide samples of a radiant energy sensor output at a prescribed sample rate.
10. The security system set forth in claim 8 , wherein the digital signal processor is configured to apply analytics for reducing false detections.
11. A method of operating a single pixel detector comprising:
sensing a moving object within a field of view of a random mask array by a single sensor;
sending a signal indicative of detection of the moving object from the sensor to a digital signal processor; and
solving a sparse inverse problem by the digital signal processor to complete detection of the moving object using an adaptively learning dictionary represented mathematically by:
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×
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∈
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=
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1
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1
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1
,
…
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wherein “Φ” is the dictionary, “x” is the observed data, and “α” is the sparse model identification vector, and wherein the digital signal processor is configured to receive signals from the single sensor, wherein the detector is a single-pixel detector and the sensor is a single pixel.
12. The method set forth in claim 11 , wherein the single sensor is an infrared sensor.
13. The method set forth in claim 11 , wherein the random mask array is a single mask.
14. The method set forth in claim 11 further comprising:
applying analytics by the digital signal processor to reduce false detections.