Radar target discrimination by spectrum analysis

• US 5,233,354 A
• Filed: 11/13/1992
• Issued: 08/03/1993
• Est. Priority Date: 11/13/1992
• Status: Expired due to Fees

• Current Assignee: Canadian LUGE Association, The United States of America As Represented By The Secretary of Agriculture
• Original Assignee: the united states of america as represented by the secretary of the navy
• Inventors: Roth, Duane, Morrison, Larry M.
• Primary Examiner(s): Sotomayor, John B.
• Application Number:
  US07/976,048
• Time in Patent Office: 263 Days
• Field of Search: 342/159, 342/160, 342/98, 342/99, 342/162, 342/192, 342/196
• US Class Current: 342/160
• CPC Class Codes: G01S 13/52 Discriminating between fixed and moving objects or between objects moving at different speeds
• CPC Class Codes: G01S 7/417 involving the use of neural networks
• CPC Class Codes: G06F 17/141 Discrete Fourier transforms
• CPC Class Codes: G06V 10/255 Detecting or recognising potential candidate objects based on visual cues, e.g. shapes

Abstract

A method for distinguishing between a target and clutter analyzes frequency components of returned wave energy to detect target energy characterized by being present in a narrow range of frequencies, by increasing in the range over time, or by remaining substantially in the range over time. The method utilizes time sequential spectra of the returned energy. The spectra may be signals from a plurality of band pass filters or may be a spectrogram. The energy in adjacent band pass signals and spectra frequencies are correlated to detect energy in a narrow range of frequencies. Differences in successive spectra are integrated to detect increasing energy in a range of frequencies. An energy peak detected in a narrow range by correlation is integrated to detect that the peak remains in the range. The method is adapted for use with a network having inputs receiving successive samples of the returned energy and having outputs individually connected to the inputs through multiplier elements providing selectable factors, a summing element, and a selectable and generally sigmoidal activation function.

Claims

1. A method for discriminating between target wave energy and clutter wave energy, said target energy and said clutter energy being present in doppler frequencies of combined wave energy, and said target energy being characterized in relation to said clutter energy by at least one of the following criteria:

a first criterion that said target energy is present in a narrow range of said frequencies of possible said doppler frequencies;

a second criterion that said target energy in said range increases over time; and

a third criterion that said target energy remains substantially in said range over time,

the method comprising;

receiving said combined energy;

generating time sequential frequency components of said combined wave energy; and

analyzing said time sequential frequency components for frequencies corresponding to at least one of said criteria.

2. The method of claim 1 wherein said target energy is characterized by said first criterion, by said second criterion, and by said third criterion and wherein said analyzing comprises:

generating a first signal when said target energy is present in such a narrow range of said frequencies of possible said doppler frequencies;

generating a second signal when said target energy in said range increases over time;

generating a third signal when said target energy remains substantially in said range over time; and

determining that said target energy is present in said combined energy when said first signal, said second signal, and said third signal occur simultaneously.

3. The method of claim 1 wherein said generating comprises:

providing a plurality of bandpass filters corresponding to different bands of possible said doppler frequencies in said combined energy, said filters having individual bipolar outputs representing the instantaneous amplitude of said combined energy in each of said bands; and

sampling said outputs successively so that each sample of said outputs is one set of said time sequential frequency components.

4. The method of claim 3 wherein said analyzing comprises detecting said target energy present in such a narrow range of frequencies and at one of said bands by correlating the amplitude of the output corresponding to the one band and the amplitudes of the outputs corresponding to such bands adjacent to said one band by a correlation filter selected to emphasize a peak amplitude at the frequency of said one band.

5. The method of claim 3 wherein, at each of said samples:

said generating comprises rectifying each of said outputs; and

said analyzing comprises

correlating the rectified output corresponding to each three adjacent said bands so as to detect peak amplitudes at the center bands of each of said three adjacent bands, and

determining that said target energy is present in such a narrow range of frequencies in said combined energy when such a peak amplitude exceeds a predetermined threshold in each center band of a predetermined small number of adjacent such bands.

6. The method of claim 1 wherein said time sequential frequency components are generated as a spectrogram formed by said sequential frequency components, each spectrum of said spectrogram having frequency values corresponding to the amplitudes of energy present at different frequencies of said combined energy over a predetermined period of time.

7. The method of claim 6 wherein said frequency values of each spectrum of said time sequential spectra are generated by performing a discrete Fourier transform on said combined energy.

8. The method of claim 6 wherein said analyzing comprises detecting said target energy present in such a narrow range of frequencies by:

correlating each frequency value of each spectrum of said spectrogram with a correlation filter selected to provide a correlation value which is higher as said frequency value is higher and which is lower as said other frequency values are higher so as to detect said combined energy present in such a narrow range at the frequency corresponding to said frequency value;

generating a predetermined threshold value when said correlation value for any of said frequencies exceeds a predetermined level;

integrating said threshold values for each frequency of said spectra to generate an integrated value increasing as said combined energy persists in such a narrow range; and

determining that said target energy is present in such a narrow range of frequencies in said combined energy when said integrated value exceeds a predetermined level.

9. The method of claim 8 wherein said correlation filter correlates one of said frequency values of each spectrum with the negative of the other frequency values of the spectrum.

10. The method of claim 6 wherein said analyzing comprises detecting said target energy present in such a narrow range of frequencies and increasing over time by:

subtracting from each of said frequency values of each spectrum of said time sequential spectra the corresponding frequency value of a preceding spectrum so as to generate for each frequency of said spectra a difference value corresponding to a change in said combined energy at each frequency of said spectra;

integrating successive said difference values for each frequency of said spectra to generate an integrated value increasing as said combined energy increases in such a narrow range including the frequency; and

determining that said target energy present in such a narrow range of frequencies is increasing when said integrated value exceeds a predetermined level.

11. The method of claim 6 wherein said analyzing comprises detecting said target energy present in such a narrow range of frequencies and remaining in said range over time, by:

correlating each frequency value of each spectrum of said spectrogram with a correlation filter selected to provide a correlation value which is higher as the amplitude of the frequency value is higher in a narrow range of said frequency values including the frequency corresponding to the frequency value;

integrating said correlation values for each frequency of said spectra to generate an integrated value for the frequency, said integrated value increasing as said combined energy persists in such a narrow range including the frequency;

summing said integrated values for each frequency in each of a plurality of predetermined bands of said frequencies of said combined energy to generate a sum value for the band, each of said bands corresponding to one of said frequencies and including the one frequency and a predetermined small number of adjacent said frequencies; and

determining that said target energy present in such a narrow range of frequencies remains in said range over time when said sum value exceeds a predetermined level.