Radar target detection method based on Hough transform

Abstract

The invention belongs to the field of radar technology and particularly relates to a radar target detection technology, which comprises the following steps: firstly, arranging Nt groups of radar-received signals subjected to matched filtering process in a two-dimensional array B in data space according to range r-time t: BtN-(i)=[dNrdN-(r-t) ellipsis d1]<T>, where i is not larger than Nt and not less than 1 and B, representing the radar-received signal at a time point ti; transforming coordinates of the BtN-(i) to a parametric space with intercept b-slope k; moving the array BtN-(i) to achieve such a mapping that each speed (i.e. slope) kj, kj is not larger than +kmax nad not less than - kmax: moving array PtN-(i) downwards by abs(kjti) units for ki larger than 0, removing data between d1 and dkN-(jti) and adding 0 in front of Dnr; and moving array BNt-(i) upwards by abs(kjti) units for ki less than 0, removing data between dkN-(jtN(i)+1) to dNR, and adding 0 behind d1 to obtain a two-dimensional array DtN-(i) in the parametric space; calculating sigmaDtN-(i) and detecting in a set threshold; and subjecting the target position detected in the parametric space to reverse coordinate transformation to obtain the motion trajectory of a radar target in the r-t data space within the radar period. The invention can greatly reduce the computation amount, thus improving the radar target detection speed and facilitating the realtime detection of the radar target.

Description

technical field The invention belongs to the technical field of radar, in particular to radar target detection technology. Background technique Paul Hough first proposed the Hough transform method in the document Hough P.V.C, Method and means for recognizing complex patterns, US Patent 3069654.Dec.1992. This method transforms the data space in the image processing process into the parameter space, completes the detection task by performing simple accumulation statistics in the parameter space, and describes the region boundary curve of the image with a certain parameter form that most boundary points satisfy. For images disturbed by noise or intermittent region boundaries, the Hough transform has good error tolerance and robustness. The Hough transform was originally only used for image processing. The basic idea of ​​using the Hough transform to extract graphics in the image is: to calculate the possible trajectory of the reference point in the parameter space from the ed...

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In this method, the points in the data space must be mapped to the parameter space point by point, assuming that the image space has N R distance units and N t and time units, you need

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