Constant false alarm rate detection method adaptive to environmental changes

A constant false alarm detection and environmental change technology, 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.

Active Publication Date: 2015-12-23
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 mu

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  • Constant false alarm rate detection method adaptive to environmental changes
  • Constant false alarm rate detection method adaptive to environmental changes
  • Constant false alarm rate detection method adaptive to environmental changes

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Embodiment Construction

[0035] The technical solutions of the present invention will be further explained below through specific embodiments in conjunction with the drawings.

[0036] Such as figure 1 As shown, the present invention provides a constant false alarm detection method that is adaptive to environmental changes, and the specific steps are as follows:

[0037] Initialize the interference memory;

[0038] S1: Copy the common Q points of the first cycle FFT data modulus M times and store them in M ​​interference memories of length Q; Q point is the number of FFT transformation points, which is a power of 2; in this design The number of clutter RAM is 5 by default, that is, M=5, Q=256; the interference signal stored in the interference memory includes clutter and noise;

[0039] 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 f...

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Abstract

The invention discloses a constant false alarm rate detection method adaptive to environmental changes. Correlation of corresponding positions of multiple periodic data and correlation of adjacent data of the same group of data are used for threshold detection, that is, time correlation and space correlation are used for threshold detection, and an interference memory group is initialized respectively to be spectrum information of first periodic data through an initialized part; clutter information of the current data is estimated to be a result when clutter information in former M periods and the spectrum information of the current data are weighted; if the located environment changes greatly or quickly, the weight of the current data information on clutter estimation can be properly increased; and the currently-estimated clutter information is used for setting of a later constant false alarm rate detection threshold. According to the method of the invention, in homogeneous background, a unit average constant false alarm rate is used to achieve optimal performance, and in nonhomogeneous background, an ordered statistical method is used for enabling the detection performance and the false alarm performance to be significantly improved.

Description

Technical field [0001] The invention relates to a constant false alarm detection method, in particular to a constant false alarm detection method adaptive to environmental changes. Background technique [0002] There are many existing constant false alarm detection algorithms, such as unit average, average selection of large, average selection of small, ordered statistics, clutter map method, etc., all of which have their own scope of application. Unit averaging requires high 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 equally distributed with the interference in the cell 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...

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 田雨农苏鹏达周秀田史文虎
Owner DALIAN ROILAND SCI & TECH CO LTD
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