Method for selecting algorithm in constant false alarm rate detection

A technology of constant false alarm detection and algorithm, which is applied in the field of constant false alarm detection, can solve the problems of detection performance degradation, performance degradation, poor detection performance false alarm performance, etc., and achieve the effect of improved detection performance and false alarm performance, and excellent performance

Active Publication Date: 2016-03-02
DALIAN ROILAND SCI & TECH CO LTD
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Problems solved by technology

[0003] The performance of the unit average is seriously degraded in the non-uniform background, the detection performance of the large average selection is very serious in the multi-target environment, and the detection performance of the small average selection is poor in the uniform clutter background and the false alarm performance in the clutter edge.

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  • Method for selecting algorithm in constant false alarm rate detection
  • Method for selecting algorithm in constant false alarm rate detection
  • Method for selecting algorithm in constant false alarm rate detection

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Embodiment Construction

[0017] The technical solutions of the present invention will be further explained below through specific embodiments in conjunction with the accompanying drawings.

[0018] Such as figure 2 As shown, the constant false alarm detection method, the specific steps are as follows:

[0019] Initialize the interference memory;

[0020] S1: copy the total Q points of the FFT data modulus in the first cycle M times, and store them in M ​​interference memories with a length of Q; the Q points are the number of FFT transformation points, which is the power of 2; in this design The default number of clutter RAM is 5, that is, M=5, Q=256; the interference signals stored in the interference memory include clutter and noise;

[0021] S2: Use the spectrum information of the current period data and the interference spectrum information of the previous M periods to estimate the interference spectrum of the current period data; the estimation process is as follows:

[0022] ...

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Abstract

The invention discloses a method for selecting an algorithm in constant false alarm rate (CFAR) detection. The detection reference window length is L, the position of a current data point is i, and the data length is Q; if i<L, L data of a rear window in the position of an ith point in a corresponding interference power spectrum array are selected to calculate a judgment threshold, and if a data mean of the rear window is more than P, an order statistics CFAR method is adopted, otherwise, a cell averaging CFAR method is adopted; if L<=i<=Q-L, 2L data of front and rear windows in the position of the ith point in the corresponding interference power spectrum array are selected to calculate the judgment threshold; and if i>Q-L, L data of a front window in the position of the ith point in the corresponding interference power spectrum array are selected to calculate the judgment threshold. According to the method, the performance can be optimized with the cell averaging CFAR method in a uniform background, and the detection performance and the false alarm performance can be remarkably improved with the order statistics method in a non-uniform clutter background.

Description

technical field [0001] The invention relates to a constant false alarm detection method, in particular to an algorithm selection method in constant false alarm detection. Background technique [0002] There are many existing CFAR detection algorithms, such as unit average, average selection large, average selection small, ordered statistics, clutter map method, etc., and they all have their own scope of application. The unit average has high requirements on data characteristics, mainly based on the following two assumptions: a. The target is independent; b. All interference data samples in the reference window are independent and identically distributed, and are identically distributed with the interference in the unit containing the target . The main purpose of ordered statistics is to suppress the performance deterioration caused by the shadowing effect, but the false alarm rate of ordered statistics is higher. The clutter map method requires prior knowledge of the clutt...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18
CPCG06F17/18
Inventor 田雨农苏鹏达周秀田史文虎
Owner DALIAN ROILAND SCI & TECH CO LTD
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