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Sea clutter zone target detection and adaptive clutter inhibition method based on fractional transform

An adaptive clutter and target detection technology, applied in the field of radar, can solve the problem that the clutter and the target signal have the same Doppler frequency, and achieve the effect of great application value, reducing false alarm and improving application ability.

Inactive Publication Date: 2016-10-26
WUHAN UNIV
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Problems solved by technology

[0014] Aiming at the deficiencies of the prior art, the present invention provides a target detection and sea clutter suppression method based on fractional transformation, which fills the technical gap of detecting targets in the sea clutter area without increasing system complexity and without prior information , and at the same time solve the technical problem that the conventional clutter suppression algorithm cannot deal with the same Doppler frequency of the clutter and the target signal

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  • Sea clutter zone target detection and adaptive clutter inhibition method based on fractional transform
  • Sea clutter zone target detection and adaptive clutter inhibition method based on fractional transform
  • Sea clutter zone target detection and adaptive clutter inhibition method based on fractional transform

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Embodiment 1

[0054] Taking the detection of low signal-to-noise ratio target signal as an example, the advantages of fractional Fourier transform for target detection are explained. The simulated target signal is as follows: figure 1 As shown, it is difficult to detect the target signal in the time Doppler spectrum, and the subsequent processing is as follows:

[0055] Step 1. Perform 0.8-1.0-order fractional Fourier transform on the target signal. For the peak distribution, see figure 2 , it can be found that there is an obvious peak aggregation area, and its order p is determined;

[0056] Step 2, calculate the frequency domain and the corresponding fractional domain power spectrum in step 1 as image 3 As shown, it can be seen that the target signal is at image 3 In b, an obvious peak is formed, and the target can be detected by constant false alarm;

[0057] Step 3, simulate target signals with different SNRs, and calculate the final SNR output, the result is as follows Figure 4...

Embodiment 2

[0059] Taking fractional-order Fourier transform for sea clutter suppression as an example, explain the advantages of fractional-order Fourier transform for clutter suppression, and simulate the first-order sea clutter signal of high-frequency radar as Figure 5 As shown, the sea clutter signal is very strong in the frequency domain, close to 15dB, and the subsequent processing is as follows:

[0060] Step 1. Perform 0.8-1.0-order fractional Fourier transform on the sea clutter signal. For the peak distribution, see Image 6 , it can be found that the peak value of sea clutter decreases gradually with the decrease of the order, and the fractional order transformation has a certain inhibitory effect on sea clutter;

[0061] Step 2, calculate the frequency domain and the order of the Shanghai clutter fractional domain power spectrum corresponding to the target signal in Example 1, such as Figure 7 As shown, it can be seen that the sea clutter signal is at Figure 7 Compared w...

Embodiment 3

[0064] The entire process of the present invention is described in detail with regard to target detection and clutter suppression in the first-order spectral region of the detection radar. The time Doppler spectrum of the measured data can be found in Figure 9 , the detection process see Figure 14 , the specific processing is as follows:

[0065] Step 1. Calculate the first-order echo Doppler frequency f of the high-frequency radar according to the radar operating frequency B , determine the first-order echo spectrum area, and calculate the average echo signal-to-noise ratio SNR of the first-order sea clutter c ;

[0066] Step 2, perform fractional transformation on the processed data, and search for peaks on the order-fractional frequency two-dimensional distribution. In order to optimize the search process, common optimization search methods such as Newton's method can be used to reduce the amount of calculation, and get Figure 10 In the peak energy distribution diagra...

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Abstract

The invention provides a sea clutter zone target detection and adaptive clutter inhibition method based on fractional transform, in order to deal with the serious disturbance of high frequency ground wave radar first-order sea clutter to ship target detection. The method detects a maneuvering target in a fractional fourier transform treatment mode, restrains sea clutter, transforms to a domain through extending a regular feature decomposition method, and removes sea clutter in an echo spectrum under the condition of not influencing target signals. Based on a full consideration of target signal modulation features, the method adaptively restrains sea clutter through fractional domain feature decomposition, simultaneously completely restrains clutter components under the condition of not damaging target signals, and fills the technical blanks of high frequency radar first-order spectral region target detection under the condition of not increasing system complexity.

Description

technical field [0001] The invention belongs to the field of radar, in particular to high-frequency radar first-order sea clutter area target detection and adaptive clutter suppression, in particular to a method for sea clutter area target detection and adaptive clutter suppression based on fractional transformation. Background technique [0002] As an emerging marine monitoring technology, high-frequency ground wave radar has the advantages of over-the-horizon, wide range, all-weather and low cost. It is considered to be a high-tech means that can effectively monitor the exclusive economic zones of various countries. All coastal developed countries have invested in research and development, and have carried out comparative verification and application demonstration for many years. Maritime regulation is not only about sovereignty protection, but also includes search and rescue (the Malaysia Airlines incident), and traffic management. However, traditional monitoring methods...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 陈泽宗贺超赵晨谢飞陈曦
Owner WUHAN UNIV
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