Generalized inner product method and apparatus for improved detection and discrimination
First Claim
1. Apparatus for detecting and discriminating fixed and slow moving objects in clutter, comprising:
- a radar receive channel capable of receiving a radar pulse;
a preprocessor forconverting said radar pulse to an intermediate frequency pulse;
sampling said intermediate frequency pulse to yield a digital representation thereof;
processing said digital representation so as to extract range-pulse data; and
recording said digital representation over one coherent processing interval;
a buffer memory for storing said recorded digital representation as a range-pulse data matrix;
a weighted discrete Fourier transformer for converting said range-pulse data matrix to a range-Doppler data matrix;
a pre-store memory for maintaining a database of target templates;
a range-Doppler index calculator for calculating the range-Doppler indices for each said target template;
a generalized inner product tester for composing and outputting an image formed from said range-Doppler indices and said range-Doppler data matrix; and
a detector/discriminator for determining the existence of a target and its geometric parameters from said image.
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Abstract
Method and apparatus for improving the detection and discrimination of slow moving or stationary range-Doppler spread objects on or in close proximity to the ground (or sea surface). Invention detects, discriminates and separates radar returns from interference including ground clutter discretes via a coherent process for separating target returns from the myriad of received signals. Thus the method and apparatus improves the probability of detecting and declaring the presence or absence of an object at the same time that the probability of false declaration decreases. The method and apparatus may be applied to the processing of any over resolved object, including airborne radar.
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Citations
20 Claims
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1. Apparatus for detecting and discriminating fixed and slow moving objects in clutter, comprising:
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a radar receive channel capable of receiving a radar pulse; a preprocessor for converting said radar pulse to an intermediate frequency pulse; sampling said intermediate frequency pulse to yield a digital representation thereof; processing said digital representation so as to extract range-pulse data; and recording said digital representation over one coherent processing interval; a buffer memory for storing said recorded digital representation as a range-pulse data matrix; a weighted discrete Fourier transformer for converting said range-pulse data matrix to a range-Doppler data matrix; a pre-store memory for maintaining a database of target templates; a range-Doppler index calculator for calculating the range-Doppler indices for each said target template; a generalized inner product tester for composing and outputting an image formed from said range-Doppler indices and said range-Doppler data matrix; and a detector/discriminator for determining the existence of a target and its geometric parameters from said image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. Method for detecting and discriminating fixed and slow moving objects in clutter, comprising the steps of:
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receiving a radar pulse; preprocessing said radar pulse, said preprocessing further comprising the steps of; converting said radar pulse to an intermediate frequency pulse; sampling said intermediate frequency pulse to yield a digital representation thereof; processing said digital representation so as to extract range-pulse data; and recording said digital representation over one coherent processing interval; storing said recorded digital representation as a range-pulse data matrix in a buffer memory; converting said range-pulse data matrix to a range-Doppler data matrix through a weighted discrete Fourier transformer; maintaining a database of target templates in a pre-store memory; calculating the range-Doppler indices for each said target template in a range-Doppler index calculator; composing and outputting an image formed from said range-Doppler indices and said range-Doppler data matrix by performing a generalized inner product test; and determining the existence of a target and its geometric parameters from said image using a detector/discriminator. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification