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Constant false alarm detection method of radar target based on goodness-of-fit test

A goodness-of-fit test and constant false alarm detection technology, which is applied in measuring devices, radio wave measurement systems, radio wave reflection/re-radiation, etc., can solve the problems of loss of detection performance and suboptimal clutter levels, etc. Achieve strong adaptability and suppress the effect of interfering targets

Active Publication Date: 2008-12-24
四川电子科技大学教育发展基金会
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Problems solved by technology

However, in a homogeneous environment, since it is not optimal to estimate the clutter level using the kth smallest value after sorting, its detection performance will suffer

Method used

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  • Constant false alarm detection method of radar target based on goodness-of-fit test
  • Constant false alarm detection method of radar target based on goodness-of-fit test
  • Constant false alarm detection method of radar target based on goodness-of-fit test

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Embodiment Construction

[0039] A specific embodiment of the present invention is given below in conjunction with a simulation example, and its performance is compared with that of a classical detection method.

[0040] Suppose a certain radar beamwidth θ B = 2 degrees, pulse repetition frequency f p =940Hz, antenna speed w r = 46 degrees / second according to

[0041] N = θ B f p w r - - - ( 13 )

[0042] It can be seen that the number of pulses accumulated during the dwell time is N=40. Select M=8 distance units before and after the distance unit to be measured as the reference unit. The background is relatively sharp mountain clutter, which obeys Weibull distribution, and the shape parameter c=0.63. After logarithmic amplification...

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Abstract

The invention belongs to the radar target detection technology field and relates to a radar target constant false alarm rate detection method. The radar target constant false alarm rate detection method mainly comprises the following steps: 1) the Weibull background distribution is converted to the Location-Scale distribution through the logarithmic transformation; 2) the orderly truncated (or head cut) treatment is carried out to a background sample to suppress the impact of an interference target, a largest unbiased estimator is adopted for estimating the location and the scale parameters; 3) the normalization of samples in a unit to be tested is carried out by using the estimated parameters; 4) the judgment of whether the background distribution is obeyed or not is carried out by utilizing the Anderson-Darling test, if the background distribution is not obeyed, the target is judged to exist, otherwise, no target is judged to exist. The radar target constant false alarm rate detection method utilizes the difference of the distribution characteristics of the target echo and the background clutter, compared with the traditional detection method based on a self-adaptive threshold, the characteristics of the background distribution and the interference target have little impact on the radar target constant false alarm rate detection method, thereby having very strong adaptability to the non-Gaussian environment and the multi-objective interference environment.

Description

technical field [0001] The invention belongs to the technical field of radar target detection and relates to a constant false alarm detection method for radar targets. Background technique [0002] Target detection is the primary task of radar. Constant false alarm detection is a signal processing method that provides detection thresholds for detection strategies in automatic radar detection systems and minimizes the impact of clutter and interference on the system's false alarm probability. After more than 30 years of development, constant false alarm detection has gradually become a standard technology of modern radars, and has been widely used in various types of radars. [0003] The classic constant false alarm detection method is to first use the reference unit in the sliding window before and after the unit to be detected to generate an adaptive threshold, and then compare the signal strength of the unit to be detected with the adaptive threshold, if the signal strengt...

Claims

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Application Information

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IPC IPC(8): G01S13/04G01S7/02
Inventor 皮亦鸣邓晓波曹宗杰闵锐李晋
Owner 四川电子科技大学教育发展基金会
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