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Constant false alarm detection method based on skewness and mean ratios under Weibull clutter environment

A technology for constant false alarm detection and skewness, which is used in radio wave measurement systems, radio wave reflection/re-radiation, measurement devices, etc., can solve problems such as detection performance and false alarm performance deterioration, and achieve low constant false alarm Effects of detection loss, good false alarm control, good judgment performance

Active Publication Date: 2017-10-20
NANJING UNIV OF SCI & TECH
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Problems solved by technology

At present, for Weibull distribution clutter, the commonly used constant false alarm detection method has better detection performance in a uniform environment, but in a non-uniform environment such as multi-target and clutter edges, its detection performance and false alarm performance will be obvious. deterioration

Method used

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  • Constant false alarm detection method based on skewness and mean ratios under Weibull clutter environment
  • Constant false alarm detection method based on skewness and mean ratios under Weibull clutter environment
  • Constant false alarm detection method based on skewness and mean ratios under Weibull clutter environment

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Embodiment 1

[0083] combine figure 1 In this embodiment, the constant false alarm detection method based on the skewness and mean ratio in the Weibull clutter environment adopts the Monte-Carlo simulation method to obtain the detection performance curve of SKMR-CFAR. The specific parameters are set as follows: the target obeys the Swerling I type fluctuation, and the number of simulations is 10 6 times, the length of the sliding window is N=32, and the false alarm probability is set to P fa =10 -3 .

[0084] figure 2 α in a uniform environment is given when the front and rear sliding window lengths are 16 (N=32) 0 with T SK The change curve of , as can be seen from the figure, α 0 With T SK increase and decrease. take α 0 with P fa Keep the same order of magnitude, choose T in the following simulation SK =0.77, at this time α 0 =3.0×10 -3 . image 3 β in a uniform Weibull clutter environment with different shape parameters 0 With K MR change curve. K MR For a certain tim...

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Abstract

The invention discloses a constant false alarm detection method based on skewness and mean ratios under the Weibull clutter environment. The method comprises steps that constant false alarm detection on output of an envelope detector is carried out, and a reference sliding window for constant false alarm detection comprises a front sliding window and a back sliding window; skewness SK and statistics mean value ratios MR of the front sliding window and the back sliding window are calculated, the SK is compared with a skewness threshold, and whether the front sliding window and the back sliding window have an interference target is determined; the MR is compared with a mean value ratio threshold, and whether the front sliding window and the back sliding window are from one distribution is determined; according to the determination result, a proper reference sliding window is selected, a Log-t CFAR detection method is employed for reference unit data to calculate a detection threshold, and whether a detection unit has a target is determined. The method is advantaged in that relatively low constant false alarm detection loss in the uniform clutter environment is realized, excellent target detection capability in the multi-target environment is realized, and excellent false alarm control capability in the clutter edge environment is realized.

Description

technical field [0001] The invention relates to the technical field of radar constant false alarm detection and processing, in particular to a constant false alarm detection method based on skewness and mean value ratio in a Weibull clutter environment. Background technique [0002] The constant false alarm rate (CFAR) detection technology is an important means to control the false alarm rate in the radar automatic detection system, and it plays an extremely important role in the process of radar target automatic detection. In modern radar systems, before target detection processing, the echo signal is processed by matched filtering and moving target detection to improve the output signal-to-noise ratio (SNR), and then the processing result is compared with the detection threshold. If the echo data is greater than the detection threshold, it is judged that there is a target. In order to maintain a constant false alarm probability, the detection threshold must be adaptively ...

Claims

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Application Information

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IPC IPC(8): G01S7/40G01S7/41G01S13/04
CPCG01S7/4021G01S7/415G01S13/04
Inventor 张仁李张昕盛卫星韩玉兵马晓峰
Owner NANJING UNIV OF SCI & TECH
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