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FMCW radar moving target constant false alarm rate detection method

A technology of constant false alarm detection and moving target detection, which is applied in measuring devices, radio wave measurement systems, radio wave reflection/re-radiation, etc., can solve problems that are not conducive to algorithm realization and engineering application, increase algorithm complexity and calculation amount , limited number of noise samples, etc., to achieve good target detection effect, low algorithm time complexity, and suitable for weak signal detection

Pending Publication Date: 2021-11-19
亿太特陕西科技有限公司
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AI Technical Summary

Problems solved by technology

Two-dimensional window design and window sliding increase the complexity and calculation amount of the algorithm, which is not conducive to the realization of the algorithm and engineering application
[0011] (3) It is impossible to have good detection effect and multi-target detection ability without increasing the complexity of the algorithm
[0020] 2. Due to the limited number of noise samples and the appearance of target points within the reference window, the error of window-based noise estimation is relatively large

Method used

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  • FMCW radar moving target constant false alarm rate detection method
  • FMCW radar moving target constant false alarm rate detection method
  • FMCW radar moving target constant false alarm rate detection method

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Embodiment 1

[0085] The present invention provides a constant false alarm algorithm for FMCW radar moving target detection with random sampling.

[0086] In the constant false alarm algorithm, the false alarm rate P fa The formula is:

[0087] P fa =P(Y 0 ≥T), T=μ·α (1)

[0088] where Y 0 Indicates the point to be detected. T is the decision threshold, which is composed of the estimated value of background noise μ and the threshold factor α. Therefore, the core of the constant false alarm algorithm is to accurately obtain the background noise estimation value μ and the threshold factor α, so as to determine the decision threshold T, so that the phase false alarm rate remains unchanged when the radar detects the target.

[0089] Therefore, the content of the MC-CFAR algorithm is as follows:

[0090] (1) Algorithm Model Establishment

[0091] In probability theory and statistics, it is assumed that the unknown quantity μ is the expectation of a random variable ξ that satisfies a cert...

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Abstract

The invention belongs to the technical field of radar detection, and discloses an FMCW radar moving target constant false alarm rate detection method, which comprises the following steps of: according to a Monte Carlo principle, randomly sampling a two-dimensional distance-Doppler matrix in an FMCW radar data processing process to simulate a Monte Carlo independent random experiment to obtain an unknown characteristic quantity estimation process, estimating the target background noise at the current moment by processing randomly sampled sample points, and acquiring a target judgment threshold by using the noise estimation value to finally realize the current moving target detection. According to the FMCW radar moving target constant false alarm rate detection method, estimation of FMCW radar background noise and target constant false alarm detection are realized by adopting a constant false alarm algorithm based on random sampling; window design and window sliding of a conventional constant false alarm algorithm are eliminated, and overall noise estimation of a current RDM domain is realized by sampling the whole RDM detection domain; and meanwhile, the sliding operation of a two-dimensional window is avoided, the detection efficiency is improved, and the time complexity of the algorithm is greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of radar detection, and in particular relates to a FMCW radar moving target constant false alarm detection method. Background technique [0002] At present: In actual radar applications, the detection target always appears in front of the noise background. Although the detection method with a fixed threshold is the simplest, this method cannot adapt to the complex and changeable background noise environment (for example, the noise amplitude caused by time or space changes Variety). The fundamental purpose of radar constant false alarm processing is to adaptively set the detection threshold according to different clutter environments, so as to realize the effective detection of radar targets and reduce the false alarm rate. Therefore, it is of great significance to study the false algorithm to improve the detection accuracy of radar targets. [0003] The constant false alarm algorithms commonly used in the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41G01S13/02
CPCG01S7/415G01S13/02
Inventor 张华冯保国
Owner 亿太特陕西科技有限公司
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