Method for detecting emitted acoustic signals including signal to noise ratio enhancement
View Patent ↗A plurality of sensors and a digital adaptive tuning filter bank are used in extracting a desired emitted signal embedded in a noisy environment. By monitoring noise statistics of the sensor signals, the digital adaptive tuning filter bank automatically adjusts its upper (to eliminate strong tonals) and lower (to eliminate background noise) thresholds to obtain a discovery frequency band. The filter bank is designed by examining the discovery band across the sensors and over a predefined period of time. The method described significantly reduces the possibilities of matching self-noise transients (unwanted signals) and thus minimizes the false alarm rate in emitted signal recognition.
1. A method for detecting acoustic signals emitted from a signal source, comprising:
sensing the emitted signals using a plurality of sensors and providing a plurality of analog acoustic signals;
filtering the analog acoustic signals;
converting the filtered signals to a corresponding plurality of digital signals;
windowing and transforming the digital signals to a frequency domain and providing a corresponding plurality of frequency domain signals;
suppressing tonal and noise characteristics of the frequency domain signals and providing a corresponding plurality of suppressed signals;
combining the suppressed signals and providing a combined signal;
developing a total spectral histogram from the combined signal;
designing a frequency domain window from the total spectral histogram;
combining the frequency domain window and the plurality of frequency domain signals in a frequency bin and providing a corresponding plurality of reconstituted emitted signals;
time domain cross-correlating the reconstituted signals and providing a time domain cross-correlated signal;
identifying the time domain cross-correlated signal; and
measuring the identified signal.
2. A method as described by claim 1 , wherein filtering the analog acoustic signals includes:
filtering the analog acoustic signals for providing band selected/limited signals.
3. A method as described by claim 2 , wherein:
converting the filtered signals to a corresponding plurality of digital signals includes:
the digital signals having self-noise, transient portions.
4. A method as described by claim 3 , wherein transforming the digital signals to a frequency domain includes:
subjecting the digital signals to an overlapping fast Fourier transform.
5. A method as described by claim 4 wherein:
windowing the digital signals is effective for limiting bin spreading in the frequency domain and subjecting the digital signals to an overlapping fast Fourier transform is effective for avoiding time domain aliasing for the reconstituted emitted signals.
6. A method as described by claim 5 , wherein suppressing tonal and noise characteristics of the frequency domain signals includes:
converting the magnitude spectrum of each of the plurality of frequency domain signals into a magnitude histogram;
deriving upper and lower threshold levels from the magnitude histogram; and
generating a spectral histogram from the magnitude histogram and the threshold levels.
7. A method as described by claim 6 , wherein developing a total spectral histogram from the combined signal includes:
developing spectral histograms from the combined signal; and
combining a current spectral histogram with a previous spectral histogram for developing the total spectral histogram.
8. A method as described by claim 7 , wherein designing a frequency domain window histogram from the total spectral histogram includes:
designing the total spectral histogram in accordance with the number of occurrences of certain frequency bins.
9. A method as described by claim 8 , wherein combining the frequency domain window histogram and the plurality of frequency domain signals in a frequency bin and providing a corresponding plurality of reconstituted emitted signals includes:
combining each of the plurality of frequency domain signals with the frequency domain window and providing a corresponding plurality of combined signals;
subjecting each of the combined signals to an inverse fast Fourier transform;
de-windowing each of the inverse fast Fourier transformed signals; and
time domain overlapping each of the de-windowed signals to provide the plurality of reconstituted emitted signals.
10. A method for detecting acoustic signals emitted from a signal source, wherein a plurality of sensors provides a corresponding plurality of analog acoustic signals and the acoustic signals are filtered and converted to a corresponding plurality of digital signals, said method comprising:
transforming the digital signals to a frequency domain and providing a corresponding plurality of frequency domain signals;
suppressing tonal and noise characteristics of the frequency domain signals and providing a corresponding plurality of suppressed signals;
developing a total spectral histogram from the suppressed signals;
designing a frequency domain window from the total spectral histogram;
combining the frequency domain window and the plurality of frequency domain signals in a frequency bin and providing a corresponding plurality of reconstituted emitted signals;
time domain cross-correlating the reconstituted signals and providing a time domain cross-correlated signal;
identifying the time domain cross-correlated signal; and
measuring the identified signal.
11. A method as described by claim 10 , wherein:
windowing the digital signals before transforming the signals to a frequency domain for limiting bin spreading in the frequency domain.
12. A method as described by claim 10 , wherein transforming the digital signals to a frequency domain includes:
subjecting the digital signals to an overlapping fast Fourier transform.
13. A method as described by claim 11 , wherein:
windowing the digital signals is effective for limiting bin spreading in the frequency domain and subjecting the digital signals to an overlapping fast Fourier transform is effective for avoiding time domain aliasing for the reconstituted emitted signals.
14. A method as described by claim 13 , wherein suppressing tonal and noise characteristics of the frequency domain signals includes:
converting the magnitude spectrum of each of the plurality of frequency domain signals into a magnitude histogram;
deriving upper and lower threshold levels from the magnitude histogram; and
generating a spectral histogram from the magnitude histogram and the threshold levels.
15. A method as described by claim 14 , wherein developing a total spectral histogram from the suppressed signals includes:
combining the suppressed signals and providing a combined signal; and
developing a total spectral histogram from the combined signal.
16. A method as described by claim 15 , wherein developing a total spectral histogram from the combined signal includes:
developing spectral histograms from the combined signal; and
combining a current spectral histogram with a previous spectral histogram for developing the total spectral histogram.
17. A method as described by claim 16 , wherein designing a frequency domain histogram from the total spectral histogram includes:
designing the total spectral histogram in accordance with the number of occurrences of certain frequency bins.